EXL Logo

EXL

Senior Business Analyst- BI Reporting Amazon QuickSight

Posted Yesterday
Remote or Hybrid
Hiring Remotely in New Jersey, USA
110K-130K Annually
Senior level
Remote or Hybrid
Hiring Remotely in New Jersey, USA
110K-130K Annually
Senior level
Lead business intelligence reporting initiatives by gathering requirements, defining dashboard scope, mapping data sources, creating wireframes and specifications, and coordinating data engineering teams. Facilitate workshops, manage reporting backlogs, conduct functional testing and reconciliation, coordinate UAT and defect resolution, and oversee deployment and post-production validation. The role also contributes to data engineering strategy, innovation, executive presentations, and long-term data planning.
The summary above was generated by AI

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.
ResponsibilitiesLead 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.

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
About the TeamEXL 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.

Similar Jobs

52 Minutes Ago
Remote or Hybrid
United States
150K-230K Annually
Senior level
150K-230K Annually
Senior level
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
Design and maintain analytical data models, transformation frameworks, data-quality checks, semantic definitions, and metric consistency across analytics and customer-facing products. Partner with engineering, product, and analytics teams to document data, improve lineage, and enable trustworthy self-service data usage. The role requires advanced SQL, analytics engineering, dimensional modeling, testing, and collaborative translation of business concepts into precise data definitions.
Top Skills: DatabricksDbtDelta LakeOpenmetadataSQL
2 Hours Ago
Remote or Hybrid
United States
97K-145K Annually
Mid level
97K-145K Annually
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Oversee financial reporting and KPIs for physician practice clients. Support budgeting, forecasting, and cash flow modeling. Provide technical accounting guidance, onboard clients and systems, coach and manage staff, collaborate with advisory teams to expand services, implement process improvements, and support technology platform integrations and training.
Top Skills: Bill.ComIntacctMS OfficeNetSuiteQuickbooks Online
2 Hours Ago
Remote or Hybrid
United States
129K-174K Annually
Senior level
129K-174K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.
Top Skills: AnalyticsAzureBusiness IntelligenceCloud Data PlatformsCopilotsData AgentsData WarehousingDatabricksGenerative AiMicrosoft FabricSnowflake

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account