Be unstoppable with us!
T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop!
Job Overview
The Senior Data Analyst analyzes business requirements and converts them into data requirements such as reports, data lifecycle management. You will analyze and interpret complex data sets to inform business decisions. Additionally, you will lead and mentor junior data analysts as well as communicate findings and recommendations to partners and management. Job Responsibilities: Leverage extensive domain expertise to identify and access data from a range of data sources including SQL/NoSQL databases, social media, surveys within organization, and additional, public domain, market data sources. Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, collect metadata, define data schema, clean, and prepare data in an appropriate format to perform analysis. Analyze data using statistical techniques to identify trends and patterns (e.g. growth/decline in key metrics) and create visualizations and reports to present findings to business partners and/or data scientists for further actions. Build expert knowledge of products, systems, data and data quality in order to provide high business-impact analysis and consultation. Provide robust, data-driven customer insights and recommendations for strategic decision-making purposes by performing deep dives and providing meaningful analysis to the business units. Assess and monitor the quality of data by working with the Data stewards, Data quality leads, and internal partners and support the implementation of data quality rules and remediation of issues Provide guidance and mentorship to junior members of the team. Build a culture of collaboration and innovation. Proactively identify problems through the data and formulate potential opportunities that can be pursued by the business units. Collaborate with product owner and delivery teams to ensure that the project/product is delivered with quality and in time. Assist the scrum master to provide estimate and impact assessment. Interpret data models (Logical and Physical) and ensuring they align with the solution design. Design reusable and scalable frameworks to achieve standardization and efficiency. Convert user requirements into technical specifications and design documents and identifying new data sources for the data warehouse. Qualifications: Bachelors Degree in a relevant field (e.g., Computer Science, Engineering, IT, or equivalent) 4-7 years experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud. 4-7 years experience articulating and translating business questions and using statistical techniques to arrive at an answer using data. Ability to translate business, and functional requirements into documented technical specifications or user stories, testing delivery data and user acceptance testing. 4- 7 years experience in technical documentation, writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations. Solid skills in relational databases using SQL. Excellent presentation, communication, and organizational skills. Familiarity with agile methodology. Strong analytical, critical-thinking skills with demonstrated ability analyze/synthesize data and generate insights. Data profiling experience. Source to target mapping. Understanding of data operations, ETLs, databases, Azure stack. Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka a plus. Experience in Python a plus. Experience building Power BI dashboards a plus. Experience with Databricks a plus. Data Model Development a plus. 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
Washington Pay Range : $109,000.00 - $147,500.00
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below 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, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. 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 paid 12 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 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
Never stop growing!
T-Mobile 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.
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 or calling . 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.
