Rezilient is looking to revolutionize primary care by delivering convenient, timely, and seamless access to healthcare through their CloudClinic model. They need a Senior Data Analyst to drive data-driven service delivery and operational excellence by analyzing complex healthcare data, identifying trends, and developing solutions to enhance care delivery and inform strategic decisions.
Requirements
- Advanced proficiency in SQL and Python for data manipulation, analysis and automation.
- Proven ability to build and maintain dashboards using business intelligence tools such as AWS Quicksight, Tableau or PowerBI.
- Demonstrated experience with cloud-based data architectures and warehousing tools (e.g., AWS, Azure, Snowflake).
- Solid understanding of data modeling, data warehousing, and data governance, including familiarity with ETL tools.
- Familiarity with structured SDLC practices, including collaborative development, version control, and code management using tools such as GitHub or similar platforms.
- Experience in healthcare performance improvement and quality frameworks (e.g., HEDIS, MIPS) strongly desired.
- Strong understanding of healthcare data standards, clinical and/or payment workflows, and regulatory frameworks (e.g., HIPAA).
Responsibilities
- Design and execute advanced analyses based upon heterogeneous healthcare data sources (e.g., EHR, claims, eligibility, clinical, and operational).
- Identify performance trends and opportunities, derive actionable insights and develop predictive models to inform strategic, operational and clinical decisions, and assess performance outcomes.
- Explore and apply machine learning and AI techniques, including large language models (LLMs), to enhance insights and unlock value from unstructured data.
- Build, automate and maintain dashboards and reports that track key performance indicators and uncover impactful insights.
- Continuously optimize and automate reporting workflows to increase scalability and reduce manual effort.
- Collaborate with the data engineering team to enhance data pipelines, models, and ETL processes (e.g., dbt, Snowflake).
- Validate and reconcile data across systems to ensure consistency, integrity, and reliability.
Other
- Lead requirements gathering and documentation for analytic projects, ensuring clarity of scope and deliverables.
- Ensure accuracy, clarity, and interpretability of analytics outputs for both technical and non-technical audiences.
- Partner with business stakeholders to understand business objectives and translate them into clear analytic frameworks that drive measurable impact.
- Apply knowledge of healthcare delivery, clinical workflows and payment systems to effectively contextualize and communicate complex findings to diverse audiences and influence data-informed decision-making.
- Contribute to collaborative SDLC workflows (e.g., GitHub), code reviews, and analytics process enhancement.
