Senior Business Analyst- BI Reporting QuickSight
- Location
- New Jersey
- Workplace
- Hybrid
- Compensation
- $110k – $130k
About this role
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.
Responsibilities
Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.Qualifications
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.
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
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