T-Ads Sr Analyst, Data

T-Mobile•New York, NY
•$89,300 - $178,600

About The Position

This role transforms business requirements into actionable data insights that support organizational decision-making. It analyzes complex datasets, manages data lifecycle activities, and produces reports to inform business strategies. The role collaborates with stakeholders to ensure data accuracy and relevance, contributes to data governance, and mentors junior analysts. Success is measured by the quality and impact of analysis, effective communication of findings, and contributions to data literacy. The work influences business outcomes through data-driven recommendations. The position also designs and maintains scalable data frameworks and technical documentation to support data architecture and standardization. Other duties and projects may be assigned by business management.

Requirements

  • Bachelor's degree plus 5 years of related work experience, or an advanced degree with 3 years of related experience.
  • 4–7 years of experience identifying, querying, cleaning, wrangling, and checking data quality; working with common relational and non-relational databases in big data environments, both on-premises and in cloud environments such as Azure, AWS, and Google Cloud.
  • 4–7 years of experience translating business questions and using statistical techniques to answer them with data.
  • 4–7 years of experience communicating technical concepts to business, technical, and general audiences, including giving data-driven presentations.
  • 4–7 years of experience working with relational databases using SQL.
  • 4–7 years of experience with data visualization tools such as Power BI or Tableau.

Nice To Haves

  • 2–4 years of experience with big data architecture and pipelines, such as Hadoop, Hive, Spark, and Kafka.
  • Certified Analytics Professional (CAP).
  • SnowPro Advanced: Data Analyst.
  • CompTIA Data Analytics Plus certification.
  • Microsoft Certified: Power BI Data Analyst Associate.

Responsibilities

  • Analyze and interpret complex datasets to generate actionable insights for business decision-making.
  • Collaborate with stakeholders to define data requirements, capture metadata, and prepare data for analysis, ensuring accuracy and completeness.
  • Assess and monitor data quality, partnering with data stewards and quality leads to implement remediation and governance practices.
  • Guide and mentor junior data analysts to develop their skills and promote knowledge sharing.
  • Design and maintain scalable data frameworks and technical documentation to support data architecture and standardization.
  • Perform other duties and projects as assigned by business management.

Benefits

  • Annual stock grant and employee stock purchase plan.
  • 401(k) and access to year-round money coaches.
  • Annual bonus or periodic sales incentive or bonus, depending on role and eligibility.
  • Medical, dental, and vision insurance.
  • Flexible spending account.
  • Paid time off and up to 12 paid holidays.
  • Paid parental and family leave.
  • Family building benefits, back-up care, enhanced family support, and childcare subsidy.
  • Tuition assistance and college coaching.
  • Short- and long-term disability coverage.
  • Voluntary AD&D, accident, life, disability, and long-term care insurance.
  • Mobile service and home internet discounts for eligible employees.
  • Pet insurance for eligible employees.
  • Commuter and transit programs for eligible employees.
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