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Data Analyst

Valera Health

$90,000 - $100,000
Jul 31, 2025
Remote, US
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Valera Health is looking to improve mental health care by leveraging data insights to inform business decisions.

Requirements

  • Advanced SQL skills (AWS Athena, Presto, PostgreSQL, or other SQL)
  • Python experience, specifically relating to external API integrations and simple data processing using AWS Lambda or other serverless cloud platforms
  • Proficient in Excel (data manipulation, VLOOKUP, index match)
  • Experience building impactful BI dashboards (Quicksight, Tableau, Looker, Excel, etc.)
  • Experience working in full end-to-end analytics cycle - data management, cleaning/processing, analysis, visualization
  • Familiarity with clinical coding (ICD-10, CPT), medication (NDC, RxNorm), and health insurance components (preferred)
  • Prior experience or eagerness to learn Amazon Web Service tools (S3, Athena, Lambda, and Cloudwatch, among others) (preferred)

Responsibilities

  • Work with large data sets to build metrics and provide meaningful insights to leadership
  • Build and maintain internal-facing, self-service dashboards to support day-to-day decisions
  • Develop end-to-end processes around the collection, integration, and reporting of data from new and existing vendors and partnerships
  • Conduct in-depth data analysis using SQL, AWS tools, Python, and spreadsheets
  • Create business requirements documents, user training manuals and guides, and requirements traceability
  • Communicate technical information in an accessible executive and partner-facing manner
  • Perform ad hoc projects as requested by the manager

Other

  • Bachelor in Computer Science, Finance, or a related field
  • 1-3 years of Analytics experience at a technology-focused organization, high-growth startup, healthcare company, or similar background
  • Hands-on experience working with non-technical end-business users
  • Collaborative working style with the ability to work independently in a remote environment (preferred)
  • Strong organizational skills, a keen eye for detail, and innate problem-solving skills (preferred)
  • Interest in exploring and implementing new approaches or tools, and is highly adaptable (preferred)