New

Sr. Analyst, Business Systems

T-MOBILE USA, Inc.
$80,900 - $146,000Corporate Bonus Target: 15%
life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
United States, Kansas, Overland Park
6360 Sprint Parkway (Show on map)
Dec 20, 2025
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! 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-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, 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: Bachelor's 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: $80,900 - $146,000 Corporate Bonus Target: 15% 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, click here. 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.