Data Analyst

T-Mobile • Bellevue, WA

20d • $68,000 - $122,700 • Hybrid

About The Position

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! This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in the greater Seattle, Washington area. Job Overview The data analyst is responsible for analyzing business requirements and converting them into data requirements such as reports, visualizations, and data lifecycle management. They will analyze and interpret complex data sets to inform business decisions. 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.

Requirements

• Bachelor's Degree (Required)
• 2-4 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. Required
• 2-4 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data. Required
• 2-4 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Required
• 2-4 years Experience working with relational databases using SQL Required
• 2-4 years Experience with data visualization tools such as Power BI, Tableau etc Required
• Experience of relational databases, data warehousing and data architecture computer systems, including not limited to SQL , Python (Required)
• Technology Experience working with relational databases using SQL (Required)
• Technology Experience with Data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud. (Required)
• Technology Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data (Required)
• Technology Data Visualization skills using tools such as PowerBI, Tableau etc (Required)
• Communication Excellent presentation, communication, and organizational skills (Required)
• Agile Familiarity with Agile Methodology (Required)
• Problem Solving Strong analytical, critical-thinking skills with demonstrated ability analyze/synthesize data and generate insights. (Required)

Nice To Haves

• 2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus Preferred
• Strong experience with large language models (LLMs) such as GPT, Claude, Gemini, Llama etc.
• Certified Analytics Professional (CAP)
• SnowPro Advanced: Data Analyst
• CompTIA Data Analytics Plus certification
• Microsoft Certified: Power BI Data Analyst Associate (Preferred)

Responsibilities

• Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, capture 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 stakeholders and/or data scientists for further actions.
• 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).
• Perform data profiling, assess, and monitor the quality of data by working with the Data stewards, Data quality leads, and internal stakeholders and support the implementation of data quality rules and remediation of issues.
• Collaborate/Partner with product owner and agile delivery teams to ensure that the project/product is delivered with quality and in time.
• Interpret data models (Logical and Physical) and ensuring they align with the solution design.
• Convert user requirements into technical specifications and design documents, and identifying new data sources for the data warehouse.
• Also responsible for other Duties/Projects as assigned by business management as needed.

Benefits

• 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.
• 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.
• 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.
• eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees