{"id":2094423,"url":"https://alion.io/job/exl-data-analyst-3","title":"Data Analyst","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":66,"ghost_share":0,"stale_share":0.939,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60100,"max":98700,"currency":"USD","period":"year","gross":null,"usd_annual":98700},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-08T15:32:13Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-13T16:13:21Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Multi-disciplinary data professional who enjoys solving Healthcare analytics problems.\nStrong understanding of the U.S. Healthcare value chain (Payer and/or Provider).\nExperience working with healthcare data including claims, eligibility, risk adjustment, utilization, and quality metrics.\nAbility to derive meaningful and actionable insights from structured and semi-structured healthcare datasets.\nStrong analytical mindset with ability to connect data findings to business outcomes.\nExperience working in Agile (SCRUM) environments and iterative delivery cycles.\nAbility to work on multiple reporting initiatives simultaneously.\nStrong stakeholder communication skills - capable of presenting insights to both technical and non-technical audiences.\nExperience optimizing Power BI datasets and SQL queries for performance and scalability.\nQuick learner with strong problem-solving skills and attention to detail.\n*Base Pay Range: $60,100 - $98,700\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\n Design, develop, and maintain Power BI dashboards and SSRS reports to support operational and strategic decision-making and data transformations with Python.\nTranslate business requirements into data models, KPIs, and visualizations that drive actionable insights.\nPerform exploratory data analysis (EDA) to uncover trends, patterns, and performance improvement opportunities.\nDevelop scalable data models and datasets optimized for reporting and analytics consumption.\nEnsure data quality, integrity, governance, and security compliance in reporting solutions.\nCollaborate with cross-functional teams to gather requirements and deliver analytics solutions aligned to business objectives.\nMonitor, maintain, and enhance existing dashboards to improve performance and usability.\nProvide analytical support for operational reviews, client discussions, and executive reporting.\nSupport production issues related to data discrepancies, report failures, and performance bottlenecks.\nCollaborate with Product, Engineering, Client Services, and Operations teams for data requirements and reporting needs.\nShare knowledge and best practices around analytics, dashboard design, and data governance.\nProactively contribute to improving internal analytics frameworks and reusable reporting assets.\nSupport leadership with ad-hoc analysis and executive-ready reporting materials.\nCommunicate with onshore stakeholders and clients regarding reporting requirements and analytics outputs.\nParticipate in client discussions to clarify data definitions, KPIs, and reporting expectations.\nAct as a bridge between business stakeholders and technology teams for analytics delivery\n 4-6 years of experience in data analytics, business intelligence, and reporting within enterprise environments.\nStrong hands-on experience in SQL for complex querying, data transformation, performance tuning, and optimization.\nProficient in Python for data analysis, data manipulation, and automation.\nBachelor's degree in Math, Statistics, or related field required\nRequired Skills:\nAdvanced SQL (CTEs, Window Functions, Query Optimization, Stored Procedures)\nPython (Pandas, NumPy, PySpark)\nPower BI \nData Warehousing Concepts & Dimensional Modeling\nETL/ELT pipeline understanding\nStrong knowledge of data governance, data quality, and security best practices\nExperience working with large healthcare datasets\nVersion control tools (Git preferred)\nExperience with Cloud Platforms (Azure preferred)\nSkills Nice to Have:\nExperience or certifications in Azure Data / Databricks\nExperience with Healthcare interoperability standards (HL7, FHIR)\nExposure to Risk Adjustment models (CMS-HCC)\nKnowledge of Snowflake or other modern cloud data warehouses\nExperience with advanced analytics or predictive modeling\nBusiness Domain Knowledge:\nMedicare Risk Adjustment. CMS payment models \nUS Healthcare Insurance & Payer Analytics\nPopulation Health Analytics & Risk Management \nPayer Management & Code Classification Management\nUtilization & Cost Management \n*The posted base salary range is the hiring base salary range for this role. 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