Data Analyst

EXL•United States,

8d•$60,100 - $98,700•Remote

About The Position

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.

Requirements

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
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)

Nice To Haves

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

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