Senior Analyst – Healthcare Analytics

Vālenz® Health

Senior Analyst managing healthcare analytics focusing on claims data and developing actionable insights. Collaborating with various teams to deliver high-quality data-driven solutions.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, particularly with healthcare claims data, utilizing advanced SQL and Python skills to derive actionable insights. Proficient in managing complex datasets and ensuring data quality while collaborating across teams to support strategic initiatives.

Highest-signal resume keywords

Advanced SQL SkillsPython ProgrammingHealthcare Claims Data ExperienceData Quality AssuranceData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ValidationData TransformationData AutomationStatistical AnalysisProblem-SolvingCritical ThinkingTrend IdentificationWorkflow AutomationData-Driven Solutions

Soft Skills

Attention to DetailSelf-MotivatedOrganizational SkillsCollaborationInitiative

Tools & Technologies

SQLPythonSparkDatabricksMicrosoft ExcelAzureMicrosoft FabricSnowflakeSFTPHCPCS

Industry Keywords

Healthcare Claims DataICD-10NDCData ProductsCompliance ToolsPricing ToolsAnalytics ToolsData Exchange MethodsData QualityQuantitative Field

Tech Stack

Tools & technologies

AzureCloudPandasPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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.
Own the development, production, validation, secure delivery, and ongoing support of outbound pharmacy data extracts for multiple vendors through SFTP and other approved data exchange methods.
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, addressing client-specific inquiries and internal requests with accurate, data-driven responses.
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.
Demonstrate initiative by independently managing complex tasks while contributing to a collaborative, team-oriented environment.
Support broader strategic initiatives by delivering high-quality analysis that informs decision-making and advances organizational goals.
Perform other duties as assigned.

Requirements

What you’ll need

Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Finance, Economics, or another quantitative field, or an equivalent combination of education and relevant experience.
7+ years of experience in data analysis, including at least 3 years working with healthcare claims data and complex, incomplete datasets.
Strong analytical, problem-solving, and critical thinking skills with the ability to identify trends, investigate root causes, and develop data-driven solutions.
Exceptional attention to detail with a strong focus on data accuracy, validation, and quality assurance.
Highly organized, self-motivated, and able to manage multiple priorities independently while collaborating effectively across teams.
Advanced SQL skills with experience querying, transforming, validating, and optimizing large, complex datasets.
Strong Python programming skills, including experience with data analysis libraries such as Pandas and PySpark, as well as workflow automation.
Experience working with healthcare medical and pharmacy claims data, including coding standards such as HCPCS, ICD-10, and NDC, along with associated reference datasets.
Proficiency in Microsoft Excel for data validation, reporting, and ad hoc analysis.
Hands-on experience with distributed data processing platforms such as Databricks and Spark, along with cloud-based data environments including Azure, Microsoft Fabric, or Snowflake.
Experience creating, validating, automating, and monitoring outbound data extracts for vendors, including securely transferring files via SFTP or other approved secure file transfer methods.

Benefits

Comp & perks

Competitive benefits package with generous employer subsidies
Flexible and remote working options
401k with generous employer match and immediate vesting
Personal and professional development opportunities
Supportive family benefits, including paid leave for new family members
Companywide philanthropic program, Valenz Communities Connection