Data Engineer Job Valera Health
Data Engineer Job
About You:
We are looking for a Data Analyst to support our Analytics and Valera team remotely. Join a dedicated team committed to improving mental health care, supported by the latest technology and systems to ensure efficient and effective work.
Essential Functions:
- Work with large data sets and build metrics to provide meaningful insights to leadership around Clinical Outcomes, Revenue Cycle Management, Finance, Business Development, and Marketing.
- Identify key insights to leverage claims and other business measure data further.
- Build and maintain internal-facing, self-service dashboards to support day-to-day decisions for department leads.
- Develop end-to-end processes around the collection, integration, and reporting of data from new and existing vendors and partnerships.
- Partner with department leads to understand and improve current clinical and operational practices and workflows.
- Communicate technical information in an accessible executive and partner-facing manner in both verbal presentations to an organization’s leadership to communicate key findings and updates on business process adjustments.
- Perform technical tasks such as creating business requirements documents, user training manuals and guides, and requirements traceability.
- Conduct in-depth data analysis using SQL, AWS tools, Python, and spreadsheets.
- Periodically review the progress of any recommended and implemented changes to see if they’re still on track, and repeat the above steps as needed to ensure continuous improvement.
- Ad hoc projects as requested by the manager.
Qualifications:
Required (Education/Experiences/Competencies):
- Bachelor in Computer Science, Finance, or a related field
- 3-5 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, not limited to crafting requirements, designing dashboards, and communicating technical terms and limitations
- Advanced in SQL (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
Preferred “Nice to haves” but not essential:
- Experience working with EHR, claims, and marketing data from both tabular and JSON data structures
- Familiarity with clinical coding (ICD-10, CPT), medication (NDC, RxNorm), and health insurance components
- Prior experience or eagerness to learn Amazon Web Service tools (S3, Athena, Lambda, and Cloudwatch, among others)
- Collaborative working style with the ability to work independently in a remote environment
- Interested in exploring and implementing new approaches or tools, and is highly adaptable
- Brings a forward-thinking, self-service, and automation-first mindset to improve reporting capabilities
- Strong organizational skills, a keen eye for detail, and innate problem-solving skills
- Understanding of version control processes using GitHub in a shared codebase
- Interest in developing & implementing advanced analytical models
- Experience working with Google Ads
- Familiarity with Atlassian services (Confluence, JIRA) and/or Agile-based methods
How to Apply
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