Work Location: United States
Work Mode : Remote / Potential hire can work from Connecticut / Texas or from Pittsburgh
Pay Range :$90K-$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 https://www.exlservice.com/us-careers-and-benefits
Job Overview:
We are hiring a BI & Analytics Manager to own how the business turns data into decisions. You will lead a team of analysts and BI developers, set the reporting strategy, and bring Generative AI into modern reporting, from natural-language querying to auto-generated narrative insights.
ResponsibilitiesBI and reporting strategy
- Define and own the BI roadmap, aligned to business priorities and KPIs.
- Standardize metrics and reporting so every team works from one trusted version of the numbers.
- Decide what to build, buy or retire across dashboards, semantic models and reports.
Analytics and report delivery
- Oversee design and delivery of executive dashboards, operational reports and self-service analytics.
- Translate business questions into clear analysis, recommendations and data stories for senior leaders.
- Ensure reports are accurate, timely, documented and easy to use.
GenAI-enabled modern reporting
- Identify and pilot GenAI use cases in reporting: natural-language queries, automated commentary, anomaly explanations and report summarization.
- Evaluate AI features in BI platforms and LLM-based tools; run proofs of concept and scale what works.
- Set guardrails for responsible AI use, including data privacy, accuracy checks and human review of AI-generated insights.
- Train analysts and business users to use AI-assisted reporting effectively.
Team leadership
- Hire, coach and develop analysts and BI developers; set goals and run performance reviews.
- Prioritize the team's backlog and manage delivery against deadlines and quality standards.
- Build a culture of curiosity, data literacy and continuous improvement.
Stakeholder partnership and governance
- Act as the main point of contact for business leaders on reporting and analytics needs.
- Work with data engineering on data models, pipelines and quality.
- Enforce data governance: access controls, definitions, lineage and compliance requirements.
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Business or a related field (or equivalent experience).
- 7+ years in BI, analytics or reporting, including 2+ years leading or managing a team.
- Hands-on expertise with at least one major BI platform (Power BI, Tableau, Looker or Qlik), including data modeling and dashboard design.
- Strong SQL skills and a solid grasp of data warehousing concepts (star schema, ETL/ELT, semantic layers).
- Proven record of designing and delivering executive-level reports and analytics that drove business decisions.
- Working knowledge of how GenAI and LLMs apply to reporting and analytics, with practical exposure through a pilot, project or tool adoption.
- Excellent communication: able to explain complex data to non-technical executives.
- Master's degree or MBA.
- Experience with AI features in BI tools (for example Copilot in Power BI, Tableau AI, Gemini in Looker) or with LLM APIs for reporting use cases.
- Familiarity with prompt design, retrieval-augmented generation (RAG) and evaluating AI output quality.
- Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse or Microsoft Fabric.
- Python or R for analysis and automation.
- Knowledge of data governance, privacy and responsible-AI practices.
- Relevant certifications (for example Microsoft PL-300, Tableau Certified, or a cloud data certification).
- Leadership: builds and motivates teams, delegates well, gives clear feedback.
- Business acumen: links metrics to revenue, cost and customer outcomes.
- Data storytelling: turns analysis into a clear message and a recommended action.
- Stakeholder management: negotiates priorities and sets expectations with senior leaders.
- Innovation mindset: tests new tools such as GenAI with a clear view of value and risk.
- Rigor: insists on data quality, reconciliation and documented definitions.
Skills Required
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Business, or a related field, or equivalent experience
- 7+ years of experience in BI, analytics, or reporting
- 2+ years of experience leading or managing a team
- Hands-on expertise with at least one major BI platform, including data modeling and dashboard design
- Strong SQL skills and understanding of data warehousing concepts, including star schema, ETL/ELT, and semantic layers
- Experience designing and delivering executive-level reports and analytics that drove business decisions
- Working knowledge of GenAI and LLM applications in reporting and analytics, with practical pilot, project, or tool-adoption experience
- Excellent communication skills, including the ability to explain complex data to non-technical executives
- Master's degree or MBA
- Experience with AI features in BI tools or LLM APIs for reporting use cases
- Familiarity with prompt design, retrieval-augmented generation, and evaluating AI output quality
- Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Microsoft Fabric
- Python or R experience for analysis and automation
- Knowledge of data governance, privacy, and responsible AI practices
- Relevant certifications such as Microsoft PL-300, Tableau Certified, or a cloud data certification
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.
