Senior Analyst, Data [t500-22350]

About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

About TMUS Global Solutions:

TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited operates as TMUS Global Solutions.

Sr Analyst, Data – Consumer Customer Success (L08)

About the Role:

The Senior Analyst, Data plays a pivotal role in delivering high-impact data analysis, SQL-driven insights, and operational intelligence that inform strategic and tactical decisions across T-Mobile’s Digital and Omnichannel businesses.

This role drives the analysis of sophisticated business challenges, assesses system and data implications, and develops efficient analytical solutions—including gap and process analysis. The analyst defines data requirements, generates actionable insights, and collaborates with business collaborators to shape strategy and optimize outcomes.

Employing advanced SQL, Python, Adobe Analytics, and cloud-based data platforms, the Senior Analyst performs investigative analyses across digital, retail, care, chat, and other customer touchpoints. They compose dashboards, reports, and customer journey insights that improve digital experience, evaluate funnel performance, and guide optimization initiatives. Responsibilities also include ensuring data integrity through quality validation, anomaly detection, and root cause analysis.

Partnering closely with digital product marketing, Mar Tech, data engineering, and analytics teams, this role defines scalable data solutions, supports A/B testing, and applies new technologies such as machine learning and large language models (LLMs) to accelerate insight generation. The analyst translates business questions into clear analytical approaches and delivers data-driven recommendations that drive enterprise-wide impact.

What You’ll Do:

Data Analysis & Insights:
Use SQL and Python to analyze omnichannel data (web, app, retail, care, chat, etc.) to identify trends, friction points, and performance drivers.
Generate actionable insights and recommendations that inform business decisions.
Develop and evaluate A/B tests, including variance and lift analyses.
Leverage tools such as Databricks, Snowflake, Big Query, Adobe/CJA, and Quantum Metric.

Requirements & Customer Alignment:
Gather, clarify, and align analytics requirements with business and digital objectives.
Translate business questions into structured analytical solutions, data models, or dashboards.
Partner multi-functionally to endasure scalability and alignment with critical metrics.

Dashboarding & Reporting:
Build and maintain dashboards in Tableau, Power BI, or Looker.
Define and operationalize clear benchmarks.
Ensure reporting is accurate, timely, and aligned with business needs.

Data Quality & Troubleshooting:
Validate data across platforms (Azure, GCP, AWS, Snowflake).
Detect anomalies, debug issues, and perform root cause analyses.
Collaborate with engineering teams to ensure accurate tagging and durable fixes.

Documentation & Modeling:
Develop data models, tracking specifications, and analytics documentation.
Clearly document data logic, assumptions, and methodologies to support cross-team understanding.

Planning & Teamwork:
Handle timelines and deliverables with autonomy.
Provide progress updates and support analytics roadmap development, including ML/LLM initiatives.

Process Improvement:
Improve data quality, automation, and analytics workflows.
Promote guidelines for reproducibility, documentation, and version control (e.g., Git Lab).

What You’ll Bring:
Bachelor's Degree (Required) - plus 7 years of related work experience OR Advanced degree with 3 years of related experience. Academic background in quantitative, technical, or analytical fields preferred.
7 years - Experience in data analysis, digital analytics, or business systems analysis.
Advanced SQL expertise, including complex joins, window functions, segmentation, transformation, and optimization.
Python experience for data analysis, modeling, automation, or statistical workflows.
Solid experience with digital analytics tools such as Adobe Analytics, CJA, and Quantum Metric, including debugging and validation.
Experience working with data across cloud environments: Azure, GCP, AWS, and/or Snowflake.
Demonstrable ability to perform data quality validation, anomaly detection, and root cause analysis.
Hands-on experience crafting dashboards in Tableau, Power BI, or Looker.

Must Have Skills:
Experience conducting A/B testing analysis.
Familiarity with machine learning concepts, model outputs, and ML-assisted analysis workflows.
Experience with large language models (LLMs) to automate analysis, accelerate insight generation, or enhance documentation.
Experience using JIRA and Confluence for ticketing, documentation, and backlog management.
Experience with Git Lab for pipeline management, version control, and change management.
Experience supporting omnichannel analytics across digital, retail, and care environments.

Nice to Have:
Strong communication, storytelling, and collaborator interaction skills.
Ability to translate complex data and technical concepts into clear business recommendations.
Experience partnering directly with business teams to define questions, measurement strategies, and success criteria.

TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. (\"ANSR\") as its exclusive recruiting partner. That means that any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1 Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.

TMUS Global Solutions will never seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidate’s acceptance of a formal offer.