Technical Business Analyst

EXL•Pittsburgh, PA
•$100,000 - $120,000•Hybrid

About The Position

We are looking for a seasoned Technical Business Analyst with strong business analysis and stakeholder management capabilities to act as the bridge between business teams and data engineering organizations. This role involves translating complex data needs into actionable requirements for engineering teams and consulting on BI strategy and data quality.

Requirements

  • Proficiency in reading and decomposing complex Impala SQL queries into business requirements and user stories.
  • Working knowledge of Apache Spark architecture and processing model — sufficient to write development-ready stories for a Spark engineering team.
  • Strong experience in user stories creation and business requirements documentation.
  • Solid understanding of data integration principles and data quality best practices.
  • Demonstrated ability to translate business stakeholder needs into precise technical requirements for engineering teams.
  • Proficiency with agile tooling such as Jira for sprint and backlog management.
  • 5+ years of experience in analytics, business intelligence, or a related data-focused role.

Nice To Haves

  • Hands-on experience writing PySpark or Spark SQL.
  • Hands-on experience with Business Intelligence (BI) tools such as Tableau, Power BI, or equivalent.
  • Familiarity with Hadoop, data lake, or lakehouse platforms (Delta Lake, Iceberg, or similar).
  • Experience with statistical modeling or advanced analytical techniques.
  • Background in data modernization or platform migration programs.
  • Prior consulting or client-facing professional services experience.
  • Domain experience in banking or financial services.

Responsibilities

  • Review and interpret complex Impala SQL queries written by business stakeholders and translate them into clear business requirements and agile user stories for the Spark development team.
  • Facilitate requirements-gathering sessions with business clients to surface data needs, KPIs, and reporting goals.
  • Partner with Spark engineers throughout development to ensure delivered solutions match original business intent.
  • Lead analytics processes across multiple business units, determining the optimal analytical approach for each problem.
  • Consult with clients on BI tool strategy, data quality, and analytical solution development.

Benefits

  • Annual Bonus
  • US Careers and Benefit information available
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