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.
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.
Skills Required
- Proficiency reading and decomposing complex Impala SQL queries into business requirements and user stories
- Working knowledge of Apache Spark architecture and processing model
- Strong experience creating user stories and business requirements documentation
- Understanding of data integration principles and data quality best practices
- Ability to translate business stakeholder needs into precise technical requirements for engineering teams
- Proficiency with Jira or similar agile tooling for sprint and backlog management
- At least 5 years of experience in analytics, business intelligence, or a related data-focused role
- Hands-on experience writing PySpark or Spark SQL
- Experience with BI tools such as Tableau or Power BI
- Familiarity with Hadoop, data lake, or lakehouse platforms such as Delta Lake or Iceberg
- 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
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
