[Hiring] Data Analyst @EXL

Role Description

Multi-disciplinary data professional who enjoys solving Healthcare analytics problems.

• Strong understanding of the U.S. Healthcare value chain (Payer and/or Provider).
• Experience working with healthcare data including claims, eligibility, risk adjustment, utilization, and quality metrics.
• Ability to derive meaningful and actionable insights from structured and semi-structured healthcare datasets.
• Strong analytical mindset with ability to connect data findings to business outcomes.
• Experience working in Agile (SCRUM) environments and iterative delivery cycles.
• Ability to work on multiple reporting initiatives simultaneously.
• Strong stakeholder communication skills – capable of presenting insights to both technical and non-technical audiences.
• Experience optimizing Power BI datasets and SQL queries for performance and scalability.
• Quick learner with strong problem-solving skills and attention to detail.

*Base Pay Range: $60,100 - $98,700

For more information on benefits and what we offer please visit us at EXL Careers and Benefits .

Responsibilities

• Design, develop, and maintain Power BI dashboards and SSRS reports to support operational and strategic decision-making and data transformations with Python.
• Translate business requirements into data models, KPIs, and visualizations that drive actionable insights.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and performance improvement opportunities.
• Develop scalable data models and datasets optimized for reporting and analytics consumption.
• Ensure data quality, integrity, governance, and security compliance in reporting solutions.
• Collaborate with cross-functional teams to gather requirements and deliver analytics solutions aligned to business objectives.
• Monitor, maintain, and enhance existing dashboards to improve performance and usability.
• Provide analytical support for operational reviews, client discussions, and executive reporting.
• Support production issues related to data discrepancies, report failures, and performance bottlenecks.
• Collaborate with Product, Engineering, Client Services, and Operations teams for data requirements and reporting needs.
• Share knowledge and best practices around analytics, dashboard design, and data governance.
• Proactively contribute to improving internal analytics frameworks and reusable reporting assets.
• Support leadership with ad-hoc analysis and executive-ready reporting materials.
• Communicate with onshore stakeholders and clients regarding reporting requirements and analytics outputs.
• Participate in client discussions to clarify data definitions, KPIs, and reporting expectations.
• Act as a bridge between business stakeholders and technology teams for analytics delivery.

Qualifications

• 4–6 years of experience in data analytics, business intelligence, and reporting within enterprise environments.
• Strong hands-on experience in SQL for complex querying, data transformation, performance tuning, and optimization.
• Proficient in Python for data analysis, data manipulation, and automation.
• Bachelor's degree in Math, Statistics, or related field required.

Requirements

• Advanced SQL (CTEs, Window Functions, Query Optimization, Stored Procedures).
• Python (Pandas, NumPy, PySpark).
• Power BI.
• Data Warehousing Concepts & Dimensional Modeling.
• ETL/ELT pipeline understanding.
• Strong knowledge of data governance, data quality, and security best practices.
• Experience working with large healthcare datasets.
• Version control tools (Git preferred).
• Experience with Cloud Platforms (Azure preferred).

Skills Nice to Have

• Experience or certifications in Azure Data / Databricks.
• Experience with Healthcare interoperability standards (HL7, FHIR).
• Exposure to Risk Adjustment models (CMS-HCC).
• Knowledge of Snowflake or other modern cloud data warehouses.
• Experience with advanced analytics or predictive modeling.

Business Domain Knowledge

• Medicare Risk Adjustment. CMS payment models.
• US Healthcare Insurance & Payer Analytics.
• Population Health Analytics & Risk Management.
• Payer Management & Code Classification Management.
• Utilization & Cost Management.

*The posted base salary range is the hiring base salary range for this role. 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.