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Sr Data Analyst

4 months ago

Bellevue, United States T-Mobile Full time

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