Vālenz® Health

Data Analyst

• Work hands-on with large, complex healthcare claims and provider datasets to ensure data accuracy and integrity
• Utilize reference data sources and advanced validation techniques to ensure accuracy, completeness, and integrity of healthcare claims data
• Assess provider scoring methodologies, identify discrepancies, and develop insights to optimize coverage accuracy
• Design, develop, and maintain retrospective models for historical performance analysis, and predictive models to identify high-risk patients and prioritize actionable interventions
• Translate complex analytical findings into clear, actionable insights, and effectively communicate results and recommendations to internal stakeholders and external clients
• Aggregate and reconcile multiple data sources, applying statistical and computational methods to verify data integrity, identify anomalies, and implement necessary corrections
• Execute comprehensive data analysis workflows, evaluate outcomes, and implement enhancements to improve model accuracy and data reliability
• Review and optimize claim-matching processes, troubleshoot inconsistencies, and resolve data discrepancies to maintain high-quality outputs
• Investigate data quality issues, conduct root cause analysis, document findings, and deliver actionable recommendations for process improvements
• Collaborate with cross-functional teams to enhance analytical tools, refine methodologies, and implement scalable solutions that improve efficiency and analytical capabilities
• Identify and resolve data issues using SQL and Python, apply statistical methods, and deliver clear, actionable insights to support decision-making across the organization

Healthcare Data Analyst – Claims, Quality and Provider Performance

Analyst

• Analyze medical and pharmacy claims to develop and maintain data products that support pricing, quality, and compliance tools
• Apply advanced models and queries to resolve data issues, support client inquiries, and improve internal analytics tools and workflows
• Use tools such as SQL, Python, Spark, and Databricks to transform complex datasets into actionable insights and clear recommendations
• Partner with Data Engineering, Web Development, and other Analytics teams to design, deploy, and sustain complex code and workflows
• Collaborate with different departments to investigate and resolve ad hoc cases and client-specific inquiries
• Follow production-level code release processes while driving the improvement and evolution of departmental workflows, analytics tools, and documentation
• Continuously monitor data quality and performance, identifying trends, anomalies, and opportunities for improvement
• Independently manage complex tasks while contributing to a collaborative, team-oriented environment and support broader strategic initiatives
• Adhere to company security protocols, maintain a quiet workspace, and ensure reliable internet connectivity as required for remote work

Senior Healthcare Analyst

Implementation Specialist

• Own and manage the full implementation process for new clients, ensuring a seamless and efficient onboarding experience.
• Lead the launch of new Valenz products and services with existing clients, coordinating across internal departments for successful integration.
• Serve as the main point of contact throughout the implementation lifecycle, building strong relationships with clients and internal stakeholders.
• Support ongoing client configuration requests in partnership with the Client Success team to ensure long-term satisfaction and optimal platform use.
• Identify and implement process improvements that make current and future implementations more scalable, efficient, and client-friendly.
• Communicate status updates, next steps, and potential risks clearly and proactively across all levels of the organization.
• Maintain accurate and up-to-date project documentation using internal tools like Salesforce, Wrike, and Trello.

Client Implementation Manager

Onboarding Specialist

• Own and manage the full implementation process for new clients, ensuring a seamless and efficient onboarding experience.
• Lead the launch of new Valenz products and services with existing clients, coordinating across internal departments for successful integration.
• Serve as the main point of contact throughout the implementation lifecycle, building strong relationships with clients and internal stakeholders.
• Support ongoing client configuration requests in partnership with the Client Success team to ensure long-term satisfaction and optimal platform use.
• Identify and implement process improvements that make current and future implementations more scalable, efficient, and client-friendly.
• Communicate status updates, next steps, and potential risks clearly and proactively across all levels of the organization.
• Maintain accurate and up-to-date project documentation using internal tools like Salesforce, Wrike, and Trello.
• Guide each implementation from start to finish—managing schedules, driving collaboration across teams, anticipating and resolving issues, and ensuring a smooth transition to Client Success.

Client Onboarding Manager

Data Scientist

• Utilize reference data sources and advanced validation techniques to ensure accuracy, completeness, and integrity of healthcare claims data
• Assess provider scoring methodologies, identify discrepancies, and develop insights to optimize coverage accuracy
• Design, develop, and maintain retrospective models for historical performance analysis and predictive models to identify high-risk patients
• Translate complex analytical findings into clear, actionable insights for internal stakeholders and external clients
• Aggregate and reconcile multiple data sources, applying statistical and computational methods to verify data integrity and identify anomalies
• Execute comprehensive data analysis workflows, evaluate outcomes, and implement enhancements to improve model accuracy and data reliability
• Review and optimize claim-matching processes, troubleshoot inconsistencies, and resolve data discrepancies
• Investigate data quality issues, conduct root cause analysis, document findings, and deliver recommendations for process improvements
• Collaborate with cross-functional teams to enhance analytical tools, refine methodologies, and implement scalable solutions
• Maintain adherence to security protocols (VPN, secure passwords, company-approved devices/software) and HIPAA compliance

Data Scientist, Quality

Vice President

• Define and execute integrated strategy for Provider Solutions combining VPoint, EPStaffCheck, Valenz Assurance, and Quantros
• Lead cross-business initiatives to enhance coordination and operational alignment across service lines
• Establish shared KPIs, operating models, and systems to optimize delivery and improve scalability
• Champion technology platforms and automation strategies to enhance client experience and increase operational efficiency
• Map end-to-end client lifecycle to identify bundled offerings, cross-sell strategies, and value expansion
• Partner with Sales, Product, and Marketing to design and deliver unified solutions
• Serve as strategic executive sponsor for top-tier provider and payer relationships
• Lead a multidisciplinary team across operations, strategy, and client delivery; attract, retain, and develop high-performing talent
• Monitor regulatory and market trends to evolve services and maintain alignment with CMS, NCQA, HIPAA, and payer expectations
• Evaluate adjacent service lines, strategic partnerships, and potential M&A opportunities
• Report to Chief Operating Officer with full accountability for Provider Solutions delivery and quality outcomes

Healthcare Data Analyst – Claims, Quality and Provider Performance

Senior Healthcare Analyst

Client Implementation Manager

Client Onboarding Manager

Data Scientist, Quality

Senior Vice President, Provider Solutions