Requirements
- 3–5 years of experience as a Data Analyst or in a similar analytical role.
- Strong proficiency in SQL (preferably BigQuery) and data visualization tools (Metabase preferred).Experience with data cleaning, transformation, and analysis of large datasets.
- Ability to translate complex data findings into clear business recommendations.Strong communication skills, both written and verbal, with the ability to work cross-functionally.
- Familiarity with statistical analysis or scripting languages like Python or R.
- Exposure to predictive analytics or AI/ML workflows.
- Experience with data governance and metadata documentation.
- Commitment to privacy and compliance standards (HIPAA familiarity preferred).
Job Responsibilities
- Collaborate with product, operations, and customer success teams to translate business needs into analytical requirements.
- Design, develop, and maintain dashboards, reports, and ad-hoc analyses in tools like Metabase, BigQuery, and Google Sheets.
- Perform in-depth data exploration to identify trends, anomalies, and actionable insights.
- Ensure data accuracy and integrity through QA processes and collaboration with Data Engineering.
- Optimize and document SQL queries for performance and scalability.
- Partner with Data Engineers on data modeling improvements and pipeline testing.
- Help define and track key metrics, including those related to clinical outcomes, increased access to care, and improvements in Social Determinants of health.
Within 1 Month You'll:
- Gain a foundational understanding of CareMessage’s product, customers and patients populations with emphasis on how data flows through the platform.
- Meet key internal stakeholders (Product, Design, Engineering, Finance, Customer Success) and learn relevant policies, protocols, and compliance standards.
- Establish rapport with existing Engineers and Product Managers across product teams.
- Build out basic understanding of existing data models, key metrics, and dashboards currently in use.
Within 3 Months You'll:
- Develop a comprehensive understanding of the technical environment (BigQuery, Metabase, data pipelines, QA processes) and identify at least 2-3 opportunities for improvement in processes, systems, or tooling.
- Partner with a Data Engineer to define ETL specifications for at least one high-priority dataset, contributing to the creation of a research-ready dataset that can be used for business or health outcome analysis.
- Deliver two or more new dashboards or reports for a business unit that improves decision-making speed and clarity.
Within 6 Months You'll:
- Demonstrate a deep understanding of CareMessage’s product platform and data ecosystem, and contribute to refining the data roadmap.
- Lead an analysis that incorporates health outcomes data with CareMessage platform telemetry to demonstrate a measurable link between patient engagement and health outcomes.
- Proactively recommend and implement at least one improvement to reporting or data visualization practices that increase stakeholder adoption or efficiency.
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