Technical Business Analyst

Work Location: Pittsburgh, PA

Work Mode: Hybrid (2-3 days/week in office)

Salary Range: $100K/Yr - $120K/Yr Base + Annual Bonus

Role Summary:

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.

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.

Qualifications:

Must-Have Technical Skills

• 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.

Good to Have

• 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.