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 https://www.exlservice.com/us-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
- 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
Required Skills:
- 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.
About UsSkills Required
- 4-6 years of experience in data analytics, business intelligence, and enterprise reporting
- Bachelor's degree in Math, Statistics, or a related field
- Advanced SQL, including CTEs, window functions, query optimization, and stored procedures
- Proficiency in Python for data analysis, manipulation, and automation
- Experience with Power BI
- Experience with data warehousing concepts and dimensional modeling
- Understanding of ETL/ELT pipelines
- Knowledge of data governance, data quality, and security best practices
- Experience with large healthcare datasets
- Experience with version control tools, preferably Git
- Experience with cloud platforms, preferably Azure
- Experience or certifications in Azure Data or Databricks
- Experience with healthcare interoperability standards such as HL7 and FHIR
- Exposure to CMS-HCC risk adjustment models
- Knowledge of Snowflake or other modern cloud data warehouses
- Experience with advanced analytics or predictive modeling
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.
