Permanent
Posted on 12 May 26 by Michael Myers
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Position Summary
Serve as a strategic partner across the business, leading analytical initiatives that drive operational excellence, improve member outcomes, and support data-informed decision making.
Key Responsibilities
Data Analysis & Insights
● Lead complex analyses to identify trends, gaps, and opportunities across clinical, claims, financial, and operational datasets. ● Translate ambiguous business questions into structured analytical approaches. ● Deliver clear, concise, and actionable insights to senior leadership and cross-functional teams.
Business Intelligence & Visualization
● Design and manage data visualizations using QuickSight and Power BI, Looker, or similar tools. ● Develop dashboards, metrics, and recurring reports that support strategic and operational needs. ● Partner with stakeholders to refine reporting requirements and ensure alignment with key performance indicators (KPIs). ● Ensure data visualizations are intuitive, accurate, and tailored to the intended audience.
Data Management & Quality
● Partner with IT teams to improve data pipelines, definitions, integrity, and accessibility. ● Validate and audit datasets regularly to ensure accuracy and consistency. ● Recommend process or system enhancements to strengthen data quality and governance. ● Maintain documentation for data definitions and reporting logic.
Stakeholder Collaboration
● Work closely with Operations, Product, Finance, and Clinical leaders to understand data needs and provide analytical support. ● Support initiatives in population health, quality improvement, and value-based care. ● Serve as a subject matter expert on data definitions, KPIs, and analytical methodologies. ● Train end users on Reports that have been generated. Mentor users a minimum of 8 hours a month. ● Lead or support special projects that require advanced analytical modeling or deep data exploration.
Advanced Analytics & Tools
● Apply statistical methods, forecasting models, or other advanced techniques when applicable. ● Utilize SQL, Python, R, or other tools to extract and manipulate large datasets. ● Explore opportunities to introduce automation and more sophisticated analytic approaches.
Compliance & Security
● Ensure compliance with HIPAA and organizational data governance policies. ● Follow secure data access standards and remote work security practices. ● Safeguard all confidential and sensitive health information.
Qualifications
Required
● 5+ years of experience in data analytics, business intelligence, or a related field. ● Advanced proficiency with SQL and at least one analytic programming language (e.g., Python or R). ● Strong Excel skills (pivot tables, Power Query, advanced formulas). ● Strong experience building dashboards (e.g., QuickSight, Power BI, Looker). ● Excellent critical thinking skills with the ability to turn complex data into meaningful insights. ● Strong communication skills, including the ability to tailor insights to technical and non-technical audiences. ● Experience working with large or complex datasets, preferably in a healthcare or regulated environment.
Preferred
● Experience in healthcare analytics, care management, value-based care, or population health. ● Familiarity with data warehousing concepts and modern analytics infrastructures. ● Knowledge of statistical modeling, forecasting, or applied data science. ● Prior experience in a high-growth or tech-enabled organization. ● Familiarity with HL7/FHIR standards.
Work Environment / Physical Requirements
● Ability to work remotely, with reliable internet access. ● Frequent use of computers, phones, video conferencing tools and related office equipment. ● May require extended periods of sitting or standing during meetings, training or documentation tasks. ● Adequate hearing and clear speech for in-person or telephone communication. ● Vision suitable for reading various documents, including memos, screens, and forms. ● Able to reach above the shoulder level to work, must be able to bend, squat and sit, stand, stoop, crouch, reach, kneel, twist/turn, etc. ● Occasional travel may be required depending on organizational needs. ● May require evening and weekend hours to support business needs.