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)
