Technical Business Analyst

• 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.

• Work Location: Pittsburgh, PA
• Work Mode: Hybrid (2-3 days/week in office)
• Salary Range: $100K/Yr - $120K/Yr Base + Annual Bonus

• The posted range is the hiring range for this role — a subset of the broader
• range available to employees over time — and reflects base salary across our
• national hiring scale. Final offers are based on several factors, including the
• candidate's skills and experience, internal pay equity, work location, market
• conditions for the role, and the specific scope and responsibilities of the
• position. The top of the range is reserved for candidates who notably exceed the
• requirements; the lower end applies to those with less experience or fewer
• preferred qualifications. For positions based in higher-cost zones (e.g.,
• California, New York, New Jersey), actual compensation may exceed the posted
• range; your recruiter will share specifics during the process

For more information on benefits and what we offer please visit us at US Careers

and Benefit

• 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.