Key Responsibilities
- Conduct workshops with business users, product owners, data owners, and technology stakeholders.
- Understand business objectives, reporting use cases, user personas, KPIs, and analytical requirements.
- Define the scope and priority of each new QuickSight report or dashboard.
- Prepare report wireframes or mock-ups and obtain client approval.
- Identify source tables, views, fields, joins, filters, and data granularity.
- Document source-to-report mappings and transformation rules
- Coordinate with the client’s data-engineering team in lieu of Reporting Data requirements
- Maintain the reporting backlog, priorities & RAID
- Perform functional testing and data reconciliation.
- Coordinate report demonstrations, UAT, defect resolution, and business sign-off.
- Coordinate report demonstrations, UAT, defect resolution, and business sign-off.
- Coordinate production deployment and post-production validation.
Required Skills and Experience:
- Approximately 8–12 years of experience in business intelligence, reporting, business analysis, or data analytics.
- Strong experience gathering and documenting dashboard and reporting requirements.
- Strong SQL and data-analysis skills.
- Working knowledge of Amazon QuickSight datasets, analyses, dashboards, calculated fields, parameters, filters, SPICE, direct query, and security.
- Strong understanding of KPIs, dimensional data models, aggregations, data granularity, and reconciliation.
- Experience preparing report specifications, source-to-report mappings, wireframes, and acceptance criteria.
- Strong client-facing, workshop-facilitation, documentation, and communication skills.
Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.
Base Compensation Range: $110,000- $130,000
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.
About UsSkills Required
- Approximately 8-12 years of experience in business intelligence, reporting, business analysis, or data analytics
- Strong experience gathering and documenting dashboard and reporting requirements
- Strong SQL and data-analysis skills
- Working knowledge of Amazon QuickSight datasets, analyses, dashboards, calculated fields, parameters, filters, SPICE, direct query, and security
- Strong understanding of KPIs, dimensional data models, aggregations, data granularity, and reconciliation
- Experience preparing report specifications, source-to-report mappings, wireframes, and acceptance criteria
- Strong client-facing, workshop-facilitation, documentation, and communication skills
- Graduate degree in Computer Science, Data Science, or a related field
- 4-6 years of experience in data engineering or a related field
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
