Data Analyst

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 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 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.

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 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. EXL 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.