Business Intelligence Analyst

Honest Health is dedicated to transforming primary care through innovative solutions. The Business Intelligence Analyst will support operational teams by analyzing complex healthcare data to drive strategic decision-making and operational efficiencies.

Responsibilities:

• Support all core disciplines of Honest’s business (i.e., Medical Expense Management, Risk Adjustment/Clinical Documentation Integrity, Quality and Care Management). Specific expertise in one or more of these disciplines will be a focus depending on organizational needs
• Develop a deep understanding of Honest Health’s data assets and analytics product inventory as it relates to strategic decision-making, problem-solving and generation of actionable insights
• Serve as the core analytics partner for the assigned primary discipline(s), translating business needs and opportunities into data-informed insights and actionable, decision support tools
• Execute moderately complex analyses and support the development of standard dashboards, recurring reports, and data tools under the direction of Sr. and Lead Analysts
• Integrate and analyze data from diverse sources including electronic health records (EHRs), health information exchanges (HIEs), and claims data that are housed in Honest’s enterprise data warehouse (EDW) and/or other population health platforms
• Leverage expert SQL skills to extract and analyze large, complex data and transform it into informative deliverables, insights, tools, and presentations that clearly communicate trends, risks, and improvement opportunities
• Identify relationships in data sets, determine key fields, and independently recommend actionable insights
• Respond to routine and moderately complex ad hoc data requests with accuracy and timeliness, escalating higher-complexity requests when appropriate
• Document logic, methodology, data definitions, and workflows so outputs can be easily reviewed, audited, and reused by teammates
• Deliver timely, accurate responses to ad hoc requests and proactively surface root causes, trends and opportunities for optimization
• Serve as a strategic partner through forming and maintaining strong relationships within the Analytics team, with stakeholders across the business – from individual contributors to executive leadership
• Utilize strong problem-solving and critical thinking skills to develop and deliver powerful insights through the adoption of new data visualization, advanced business intelligence, and emerging AI-driven tools
• Act as a bridge between technical and non-technical stakeholders, ensuring clarity and understanding of data and its interpretation to support informed decision-making
• Exhibit exceptional reliability and follow-through, with the ability to commit to multiple concurrent deadlines and be accountable for updates and on-time delivery
• Participate in data quality initiatives, assisting with identifying and correcting data issues
• Perform other related responsibilities as assigned

Requirements:

• Bachelor's degree in Business, Economics, Healthcare, or similar field
• 3+ years of experience in data analytics is required including expertise with large, complex data sets is required
• Advanced proficiency in Microsoft Office suite (Excel, Word, PowerPoint)
• Strong SQL skills, preferably in a Snowflake or other cloud computing environment
• Excellent interpersonal and communication skills and a demonstrated ability to work effectively across functions and levels of an organization
• Strong attention to detail and a passion for digging into processes to better understand them and communicate the big picture
• Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed environment
• Strong strategic, analytical, and creative skills with a history of tackling and solving complex challenges
• Able to navigate ambiguity and transform complexity into a state of clarity and actionable structure
• Capable of working independently and collaborating efficiently within a team environment
• Healthcare analytics experience and a strong understanding of healthcare data and operational workflows is highly preferred
• Experience with value-based care models is preferred
• Data visualization experience, desired, preferably Tableau
• Working knowledge of programming languages (i.e., R, Python, SAS) desired
• Familiarity with the utilization of AI, Machine Learning and/or NLP in a healthcare setting