Sr. Analyst, Business Systems

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The Senior Analyst Business Systems plays a pivotal role in delivering high-impact data analysis SQL-driven insights and operational intelligence that inform strategic and tactical decisions across T-Mobiles Digital and Omnichannel businesses.
This role drives the analysis of sophisticated business challenges assesses system and data implications and develops efficient analytical solutionsincluding 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 MarTech 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.

Job Responsibilities:

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 BigQuery 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 ensure 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. GitLab).

Education and Work Experience:

• Bachelors Degree (Required) - plus 5 years of related work experience OR Advanced degree with 3 years of related experience. Academic background in quantitative technical or analytical fields preferred.
• 4-7 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.

Preferred Experience & 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 GitLab for pipeline management version control and change management.
• Experience supporting omnichannel analytics across digital retail and care environments.

Knowledge Skills and Abilities:

• 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.

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $80900 - $146000

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidates 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 employees 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 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 dont 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-Mobiles amazing benefits check out.

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As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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.

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