The Role: Our objective is to reshape the value chain for our Members and Insurers using data driven insights. Our success will be based on the value data creates for our Members, risk capital providers, other suppliers and ourselves. This role is part of a newly created and fast-growing division. The Data Office combines 3 teams; Data Products, Data Quality and Data Management. Today, the Data Quality team consists of the Data Quality Lead and a Data Quality Support Analyst. The Data Quality Rules Analyst is responsible for front-line ownership of the validation lifecycle, translating Data Quality intent and standards into clear, consistent, and scalable deterministic controls across ingestion, data products, and systems. The role focuses on rule specification, catalogue governance, control behaviour, and tuning - ensuring that large volumes of data quality controls are well-structured, interpretable, and maintainable as the platform scales. Key Responsibilities Validation Intake & Front-Line Support - Act as the first point of contact for: - - New validation requests - Validation support requests (e.g. overrides, unexpected behaviour, suspected defects) - Clarify intent, scope, expected behaviour and enforcement with Data Owners and Product. - Determine whether requests can be handled within existing standards or require escalation. - Escalate to the Data Quality Lead only where intent, appetite or priority is unclear or challenged. Validation Rule Specification - Translate validation requirements into clear, build-ready rule specifications, including: - - rule intent and business description - severity and enforcement level - thresholds and tolerances - expected behaviour and override guidance - Define deterministic data quality controls across: - - ingestion validations - data product and cross-system controls - system- and application-level checks - Ensure rules are unambiguous, testable, and monitorable, resolving specification-level ambiguity independently where possible. Validation Catalogue Ownership - Own and maintain the validation catalogue content as a governed artefact, including: - - rule metadata and descriptions - ownership mapping - lifecycle status (proposed, active, noisy, deprecated) - linkage to datasets and Atlan metadata - Ensure catalogue hygiene and consistency as rule volumes scale. - Rationalise validation inventories by: - - identifying duplicate or overlapping rules - consolidating low-value checks - recommending retirement of obsolete or ineffective controls Control Monitoring, Interpretation & Tuning - Monitor rule behaviour, including: - - failure rates - override frequency - noise patterns - Interpret control behaviour and form hypotheses about root cause. - Propose bounded refinements to thresholds or logic where evidence is clear. - Escalate to the Data Quality Lead where changes affect agreed Data Quality appetite or enforcement posture. Anomaly Detection & RCA Support - Perform first-pass interpretation of anomalies and outliers. - Analyse data and control behaviour to support Root Cause Analysis (RCA). - Provide evidence-based recommendations to inform DQ Lead decisions. - Support Data Owners and Product during RCA with technical and analytical insight. Must-Have Experience · 3–6 years’ experience in data quality, data governance, analytics engineering, or data operations roles. · Experience working with large, complex datasets with high volumes of data quality validations. · Strong analytical mindset, able to interpret data behaviour, trends, distributions, outliers and cross-dataset consistency. · Proven experience interpreting data quality issues at scale and forming evidence-based recommendations on rule refinement, thresholds, and upstream process improvements · Experience defining and maintaining deterministic data quality controls, including clear rule intent, severity, thresholds and expected behaviour. · Validation catalogue experience, including maintaining rule metadata, ownership and lifecycle status. · Working knowledge of SQL sufficient to interrogate datasets independently, explore data distributions, validate assumptions behind proposed controls, and investigate unexpected validation behaviour · Experience supporting Root Cause Analysis (RCA) through data analysis and evidence gathering. · Ability to operate effectively in a maturing data quality environment, applying defined standards and guardrails while tooling and processes continue to evolve. · Strong collaboration skills, working closely with Product, Technology and Data teams to ensure controls are implemented as specified.

• Support end-to-end analytics solutions through requirements gathering, establishing key metrics, building data models, designing dashboards and visualizations, and analyzing data to drive actionable insights for our customers and internal teams. • Deep dive into complex data across various sources, trends, and questions to provide advanced analyses and insights for our customers. • Optimize, update, review, and troubleshoot data to support new and existing projects and product features in collaboration with the data team. • Collaborate with product and engineering to build scalable and impactful data solutions and new capabilities. • Provide comprehensive analytics support to our customers and internal teams, and develop resources to empower data access and self-service.

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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Analyst 2 will be responsible for the management and manipulation of survey, pharmacy and HEDIS data with a focus on building business intelligence tools, conducting analysis, and assuring data quality. This position presents analyses results/recommendations to leadership directly in a timely, consistent, and accurate manner. Recommends and implements new or modified reporting methods and procedures to improve report content and completeness of information. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. - Designs, develops, tests, documents and maintains database queries and data analysis - Translates large quantities of in-depth data and creates reports that display the information’s overall significance - Develops data reporting processes and procedures to ensure timely delivery of daily, weekly, monthly, annual and ad hoc reporting to management - Troubleshoots data integrity issues, analyzes data for completeness to meet business needs, and proposes documented solution recommendations - Converts complex data from multiple sources into meaningful, professional and easy to understand formats for various audiences as defined by department guidelines - Supports reporting and analysis on all business initiative projects - Recommends and implements new or modified reporting methods and procedures to improve report content and completeness of information - Troubleshoots and coordinates resolutions for all issues related to reports supported by the department - Performs all other related duties as assigned Qualifications - 2+ years of reporting/analytic experience - 1+ years Tableau or Power BI development experience - Intermediate proficiency in SQL and developing efficient, well-performing queries - Intermediate proficiency with Alteryx, PDI, SSIS or other ETL software - Proven excellent analytical and problem-solving capabilities with special attention to accuracy and detail - Proven to be a self-starter with a proven ability to take ownership of job responsibilities and ensure successful completion of all projects and requests Requirements - Alteryx or other ETL software certification - Microsoft SQL, Oracle SQL Developer, Snowflake or other SQL certification - Experience with working in Software Development Lifecycle (SDLC) - Experience with performance tuning tools and/or techniques - Knowledge of Health Care Industry and related business functions - Knowledge of HEDIS, STARs, Medication Adherence, and/or CAHPS & HOS Reporting - Advance course of study in database architecture, data management or data governance - Advanced course of study in information technology, business or other field Benefits Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as: - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.