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Cloudflare India Private Limited is the Indian subsidiary of Cloudflare, Inc., a leading global internet infrastructure and security company that helps make the web faster, more reliable, and more secure. Cloudflare’s connectivity cloud spans hundreds of data centers worldwide, delivering services such as content delivery networks (CDN), cybersecurity protections (like DDoS mitigation and web application firewalls), DNS services, and edge computing tools that accelerate and safeguard websites and applications.
ApplyCloudflare India Private Limited is the Indian subsidiary of Cloudflare, Inc., a leading global internet infrastructure and security company that helps make the web faster, more reliable, and more secure. Cloudflare’s connectivity cloud spans hundreds of data centers worldwide, delivering services such as content delivery networks (CDN), cybersecurity protections (like DDoS mitigation and web application firewalls), DNS services, and edge computing tools that accelerate and safeguard websites and applications.
As discussed, Please find the job description for your reference:
Job Title: Data Analyst
Department: Data & Analytics / Business Intelligence
Company: Cloudflare Inc.
Employment Type: Full-Time
Work Location: Remote
Reporting To: Product Development Manager
1. Role Overview
The Data Analyst will play a key role in enabling data-driven decision-making across the organization.
The role involves analyzing complex datasets and converting them into actionable insights that support strategic and operational objectives.
The position requires close collaboration with cross-functional teams including product, finance, marketing, HR, sales, and operations.
The ideal candidate will demonstrate strong analytical thinking, data modeling expertise, and the ability to communicate insights clearly to both technical and non-technical stakeholders.
The role demands hands-on experience with large datasets, BI tools, cloud platforms, and automated reporting systems.
2. Key Responsibilities
2.1 Data Analysis & Reporting
Collect, clean, validate, and analyze data from multiple internal and external sources.
Develop analytical models to support business forecasting, KPI tracking, and performance measurement.
Design, build, and automate dashboards and reports using BI tools such as Power BI, Tableau, Looker, or equivalent platforms.
Perform detailed data analysis to identify trends, patterns, anomalies, and growth opportunities.
Translate complex datasets into clear visualizations and business-friendly insights.
2.2 Data Management & Quality
Collaborate with data engineering teams to maintain and enhance data pipelines and workflows.
Conduct regular data quality audits to ensure accuracy, consistency, and reliability.
Document data definitions, metrics, data models, and analytical methodologies.
Ensure adherence to data governance, privacy, and security standards across all reporting activities.
2.3 Business Collaboration
Partner with business stakeholders to understand goals, challenges, and analytical requirements.
Convert business questions into structured analytical solutions and measurable KPIs.
Present insights and findings through dashboards, reports, and presentations to leadership.
Actively participate in cross-functional discussions to support data-backed decisions.
2.4 Automation & Optimization
Identify manual or repetitive reporting processes and convert them into automated, scalable solutions.
Use Python or R for data processing, automation, and statistical analysis.
Continuously improve dashboards and reporting frameworks for performance, usability, and scalability.
2.5 Advanced Analytics (Role-Dependent)
Develop predictive or prescriptive models to support business planning and forecasting.
Conduct cohort analysis, customer segmentation, A/B testing, and scenario modeling.
Support experimentation and analytics frameworks for product and marketing initiatives.
3. Required Skills & Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or related fields.
0-3+ years of experience in analytics or data-focused roles (freshers may be considered for junior positions).
Strong proficiency in SQL with the ability to write optimized and complex queries.
Advanced skills in Excel (pivot tables, macros, Power Query).
Proficiency in Python or R for analysis and automation.
Hands-on experience with BI tools such as Power BI, Tableau, Looker, Qlik, or Metabase.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Strong communication skills with the ability to explain insights to non-technical audiences.
4. Preferred Qualifications
Experience working with big data and AI/ML tools including Python, TensorFlow, and analytics frameworks.
Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Familiarity with Git, Airflow, APIs, and workflow orchestration tools.
Prior experience in SaaS, fintech, e-commerce, telecom, pharma, or product-based companies.
Basic understanding of database administration or data engineering concepts.
5. Key Performance Indicators (KPIs)
Accuracy and reliability of dashboards and reports.
Reduction in manual reporting effort through automation.
Timely delivery of insights to business stakeholders.
Stakeholder adoption and usage of analytics dashboards.
Measurable business impact driven by data insights.
Continuous improvement in data quality across systems.
6. Competencies & Attributes
Strong analytical and problem-solving skills.
High attention to detail and data accuracy.
Ability to manage multiple priorities in a fast-paced environment.
Curiosity and passion for exploring data deeply.
Strong collaboration and teamwork abilities.
Ownership mindset with a proactive approach to improvement.
7. Tools & Technologies
Databases: MySQL, PostgreSQL, SQL Server, Snowflake, BigQuery
Programming: Python, R
Spreadsheets: Excel, Google Sheets
BI Tools: Power BI, Tableau, Looker, Qlik, Metabase
8. Work Environment & Growth
Work Mode: Remote
Team Structure: Works closely with Data Engineering, Product, Finance, Operations, and Business Teams
Career Growth: Data Analyst → Senior Data Analyst → Data Scientist → Analytics Manager
Compensation: Salary based on experience and company standards
Cloudflare India Private Limited is the Indian subsidiary of Cloudflare, Inc., a leading global internet infrastructure and security company that helps make the web faster, more reliable, and more secure. Cloudflare’s connectivity cloud spans hundreds of data centers worldwide, delivering services such as content delivery networks (CDN), cybersecurity protections (like DDoS mitigation and web application firewalls), DNS services, and edge computing tools that accelerate and safeguard websites and applications.
As discussed, Please find the job description for your reference:
Job Title: Data Analyst
Department: Data & Analytics / Business Intelligence
Company: Cloudflare Inc.
Employment Type: Full-Time
Work Location: Remote
Reporting To: Product Development Manager
1. Role Overview
The Data Analyst will play a key role in enabling data-driven decision-making across the organization.
The role involves analyzing complex datasets and converting them into actionable insights that support strategic and operational objectives.
The position requires close collaboration with cross-functional teams including product, finance, marketing, HR, sales, and operations.
The ideal candidate will demonstrate strong analytical thinking, data modeling expertise, and the ability to communicate insights clearly to both technical and non-technical stakeholders.
The role demands hands-on experience with large datasets, BI tools, cloud platforms, and automated reporting systems.
2. Key Responsibilities
2.1 Data Analysis & Reporting
Collect, clean, validate, and analyze data from multiple internal and external sources.
Develop analytical models to support business forecasting, KPI tracking, and performance measurement.
Design, build, and automate dashboards and reports using BI tools such as Power BI, Tableau, Looker, or equivalent platforms.
Perform detailed data analysis to identify trends, patterns, anomalies, and growth opportunities.
Translate complex datasets into clear visualizations and business-friendly insights.
2.2 Data Management & Quality
Collaborate with data engineering teams to maintain and enhance data pipelines and workflows.
Conduct regular data quality audits to ensure accuracy, consistency, and reliability.
Document data definitions, metrics, data models, and analytical methodologies.
Ensure adherence to data governance, privacy, and security standards across all reporting activities.
2.3 Business Collaboration
Partner with business stakeholders to understand goals, challenges, and analytical requirements.
Convert business questions into structured analytical solutions and measurable KPIs.
Present insights and findings through dashboards, reports, and presentations to leadership.
Actively participate in cross-functional discussions to support data-backed decisions.
2.4 Automation & Optimization
Identify manual or repetitive reporting processes and convert them into automated, scalable solutions.
Use Python or R for data processing, automation, and statistical analysis.
Continuously improve dashboards and reporting frameworks for performance, usability, and scalability.
2.5 Advanced Analytics (Role-Dependent)
Develop predictive or prescriptive models to support business planning and forecasting.
Conduct cohort analysis, customer segmentation, A/B testing, and scenario modeling.
Support experimentation and analytics frameworks for product and marketing initiatives.
3. Required Skills & Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or related fields.
0-3+ years of experience in analytics or data-focused roles (freshers may be considered for junior positions).
Strong proficiency in SQL with the ability to write optimized and complex queries.
Advanced skills in Excel (pivot tables, macros, Power Query).
Proficiency in Python or R for analysis and automation.
Hands-on experience with BI tools such as Power BI, Tableau, Looker, Qlik, or Metabase.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Strong communication skills with the ability to explain insights to non-technical audiences.
4. Preferred Qualifications
Experience working with big data and AI/ML tools including Python, TensorFlow, and analytics frameworks.
Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Familiarity with Git, Airflow, APIs, and workflow orchestration tools.
Prior experience in SaaS, fintech, e-commerce, telecom, pharma, or product-based companies.
Basic understanding of database administration or data engineering concepts.
5. Key Performance Indicators (KPIs)
Accuracy and reliability of dashboards and reports.
Reduction in manual reporting effort through automation.
Timely delivery of insights to business stakeholders.
Stakeholder adoption and usage of analytics dashboards.
Measurable business impact driven by data insights.
Continuous improvement in data quality across systems.
6. Competencies & Attributes
Strong analytical and problem-solving skills.
High attention to detail and data accuracy.
Ability to manage multiple priorities in a fast-paced environment.
Curiosity and passion for exploring data deeply.
Strong collaboration and teamwork abilities.
Ownership mindset with a proactive approach to improvement.
7. Tools & Technologies
Databases: MySQL, PostgreSQL, SQL Server, Snowflake, BigQuery
Programming: Python, R
Spreadsheets: Excel, Google Sheets
BI Tools: Power BI, Tableau, Looker, Qlik, Metabase
8. Work Environment & Growth
Work Mode: Remote
Team Structure: Works closely with Data Engineering, Product, Finance, Operations, and Business Teams
Career Growth: Data Analyst → Senior Data Analyst → Data Scientist → Analytics Manager
Compensation: Salary based on experience and company standards
with warm regards,
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Telephone: @hr_landline
Email: @hr_email
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About the job
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Job Overview
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
We are seeking a highly skilled professional to lead the automation of writing and maintaining analytics event technical specifications. This role will leverage AI, LLMs and automation platforms to transform business requirements into scalable, accurate, and consistent tracking documentation. The ideal candidate will combine deep analytics expertise with hands-on experience in AI workflows, ensuring seamless collaboration between product, engineering, and analytics teams.
Job Responsibilities:
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience:
Bachelor's Degree required.
0-3+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities:
Strong expertise in SQL, Python, relational databases, and data warehousing.
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
Prompt engineering skills for structuring inputs to generate accurate technical documentation.
Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
Experience working with extremely large datasets
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies
Familiarity with JavaScript is a plus
Exposure to ML-based anomaly detection for analytics validation is a plus
Knowledge of experimentation (A/B testing) and customer journey analytics a plus.
Licenses and Certifications:
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ326421
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
About the job
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Job Overview
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
We are seeking a highly skilled professional to lead the automation of writing and maintaining analytics event technical specifications. This role will leverage AI, LLMs and automation platforms to transform business requirements into scalable, accurate, and consistent tracking documentation. The ideal candidate will combine deep analytics expertise with hands-on experience in AI workflows, ensuring seamless collaboration between product, engineering, and analytics teams.
Job Responsibilities:
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience:
Bachelor's Degree required.
0-3+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities:
Strong expertise in SQL, Python, relational databases, and data warehousing.
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
Prompt engineering skills for structuring inputs to generate accurate technical documentation.
Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
Experience working with extremely large datasets
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies
Familiarity with JavaScript is a plus
Exposure to ML-based anomaly detection for analytics validation is a plus
Knowledge of experimentation (A/B testing) and customer journey analytics a plus.
Licenses and Certifications:
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ326421
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
About the job
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Job Overview
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
We are seeking a highly skilled professional to lead the automation of writing and maintaining analytics event technical specifications. This role will leverage AI, LLMs and automation platforms to transform business requirements into scalable, accurate, and consistent tracking documentation. The ideal candidate will combine deep analytics expertise with hands-on experience in AI workflows, ensuring seamless collaboration between product, engineering, and analytics teams.
Job Responsibilities:
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience:
Bachelor's Degree required.
0-3+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities:
Strong expertise in SQL, Python, relational databases, and data warehousing.
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
Prompt engineering skills for structuring inputs to generate accurate technical documentation.
Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
Experience working with extremely large datasets
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies
Familiarity with JavaScript is a plus
Exposure to ML-based anomaly detection for analytics validation is a plus
Knowledge of experimentation (A/B testing) and customer journey analytics a plus.
Licenses and Certifications:
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ326421
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
About the job
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Job Overview
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
We are seeking a highly skilled professional to lead the automation of writing and maintaining analytics event technical specifications. This role will leverage AI, LLMs and automation platforms to transform business requirements into scalable, accurate, and consistent tracking documentation. The ideal candidate will combine deep analytics expertise with hands-on experience in AI workflows, ensuring seamless collaboration between product, engineering, and analytics teams.
Job Responsibilities:
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience:
Bachelor's Degree required.
0-3+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities:
Strong expertise in SQL, Python, relational databases, and data warehousing.
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
Prompt engineering skills for structuring inputs to generate accurate technical documentation.
Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
Experience working with extremely large datasets
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies
Familiarity with JavaScript is a plus
Exposure to ML-based anomaly detection for analytics validation is a plus
Knowledge of experimentation (A/B testing) and customer journey analytics a plus.
Licenses and Certifications:
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ326421
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
About the job
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Job Overview
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
We are seeking a highly skilled professional to lead the automation of writing and maintaining analytics event technical specifications. This role will leverage AI, LLMs and automation platforms to transform business requirements into scalable, accurate, and consistent tracking documentation. The ideal candidate will combine deep analytics expertise with hands-on experience in AI workflows, ensuring seamless collaboration between product, engineering, and analytics teams.
Job Responsibilities:
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience:
Bachelor's Degree required.
0-3+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities:
Strong expertise in SQL, Python, relational databases, and data warehousing.
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
Prompt engineering skills for structuring inputs to generate accurate technical documentation.
Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
Experience working with extremely large datasets
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies
Familiarity with JavaScript is a plus
Exposure to ML-based anomaly detection for analytics validation is a plus
Knowledge of experimentation (A/B testing) and customer journey analytics a plus.
Licenses and Certifications:
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ326421
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
About the job
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Job Overview
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
Data Analyst is responsible for defining the analytics specifications for web and app features and guides the Digital Product teams through the analysis of complex mobile app and web performance data. This role is responsible for data collection of Digital products and automation of tagging the data of digital events and context data. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics, and data visualizations using Adobe Analytics and Power BI through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across business partners.
We are seeking a highly skilled professional to lead the automation of writing and maintaining analytics event technical specifications. This role will leverage AI, LLMs and automation platforms to transform business requirements into scalable, accurate, and consistent tracking documentation. The ideal candidate will combine deep analytics expertise with hands-on experience in AI workflows, ensuring seamless collaboration between product, engineering, and analytics teams.
Job Responsibilities:
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.
Education and Work Experience:
Bachelor's Degree required.
0-3+ years of experience in digital analytics, business intelligence, or related roles.
Knowledge, Skills and Abilities:
Strong expertise in SQL, Python, relational databases, and data warehousing.
Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc
Prompt engineering skills for structuring inputs to generate accurate technical documentation.
Ability to design and fine-tune custom LLM workflows for automating spec creation and validation
Understanding of AI model limitations, bias, and validation techniques to ensure reliable outputs.
Hands-on experience with Adobe Analytics (eVars, events, classifications), Adobe Experience Platform (AEP)
Proven experience with Python and NLP models to automate tagging and data collection of digital events and context data. (Required)
Experience working with extremely large datasets
Experience in Power BI, Adobe Analytics, Metabase/OpenSearch for dashboards, reporting, and KPI development.
Ability to translate complex data into clear, actionable insights and stories for business stakeholders.
Strong collaboration and communication skills, with the ability to influence across product, engineering, and leadership teams.
Experience with QA, data validation, and governance frameworks for analytics data.
Experience designing event schemas and technical specifications for digital analytics and telemetry across multiple platforms (web, mobile, backend).
Hands-on experience in AI technologies
Familiarity with JavaScript is a plus
Exposure to ML-based anomaly detection for analytics validation is a plus
Knowledge of experimentation (A/B testing) and customer journey analytics a plus.
Licenses and Certifications:
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $68,000 - $122,700
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ326421
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.