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Data Analyst
Location
United States
Posted
97 days ago
Salary
0
No structured requirement data.
Job Description
Data Analyst
EXL
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Design, develop, and maintain Power BI dashboards and reports to support operational and strategic decision-making. - 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. Qualifications - 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. Company Description 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. - Founded in 1999 with core values of innovation, collaboration, excellence, integrity, and respect. - Headquartered in New York with more than 54,000 employees spanning six continents. - EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process. - 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.
Job Requirements
- 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.
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