Senior Business Intelligence Analyst

Posted 21 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist central operational teams, including Finance, Risk Adjustment, Quality and Care Management, along with market analytics and leadership departments.

• Convert intricate healthcare data into practical tools and actionable insights.

• Conduct thorough and ad-hoc analyses to enhance operational efficiencies and support strategic decision-making.

• Create partner-facing presentations utilizing analytics tools and market-specific knowledge.

• Interpret data into actionable insights, identify cost-of-care drivers and root causes, and recommend action items for improved health outcomes at reduced costs.

• Provide support for Medical Expense Management, Risk Adjustment/Clinical Documentation Integrity, Quality, and Care Management.

• Acquire extensive knowledge of data assets and analytics product inventory.

• Act as the primary analytics partner for Medical Expense Management.

• Oversee the complete development process of dashboards, tools, and analyses with minimal guidance.

• Integrate and evaluate EHR, HIE, and claims data stored in the EDW and other population health platforms.

• Utilize SQL to extract and analyze large, complex datasets, producing deliverables, insights, tools, and presentations.

• Recognize relationships within data sets and suggest actionable insights.

• Manage and prioritize high-complexity ad hoc requests across various teams.

• Implement automation, efficiency, and standardization in reporting tools and analytical workflows.

• Provide coaching, technical assistance, and informal mentorship to Business Intelligence Analysts.

• Deliver prompt responses to ad hoc requests and proactively identify root causes, trends, and opportunities for optimization.

• Foster relationships with analytics and business stakeholders, from individual contributors to executive leadership.

• Employ data visualization, advanced business intelligence, and emerging AI-driven tools.

• Connect technical and non-technical stakeholders to facilitate informed decision-making.

• Manage multiple concurrent deadlines, ensuring timely delivery.

• Collaborate with IT/Data Engineering on data pipeline requirements, table structures, and analytics improvements.

• Undertake other related duties as assigned.


⛳️ Requirements

• Bachelor's degree in Business, Economics, Healthcare, or a related field is required.

• Over 5 years of experience in data analytics, with proficiency in handling large, complex datasets.

• More than 3 years of experience in Tableau, building dashboards from start to finish.

• At least 1 year of experience in healthcare analytics with a solid understanding of healthcare data and operational workflows.

• Familiarity with value-based care models.

• Advanced proficiency in the Microsoft Office suite (Excel, Word, PowerPoint).

• Strong SQL skills, ideally in a Snowflake or other cloud computing environment.

• Understanding of AI, Machine Learning, and/or NLP in a healthcare context.

• Capability to design and develop new Tableau dashboards.

• Experience in enhancing existing reporting solutions.

• Ability to convert Excel-based reporting processes into scalable, interactive Tableau dashboards.

• Skill in validating and testing work for accuracy, consistency, and reliability.

• Ability to generate presentation-ready analytics products for executive leadership, client-facing discussions, and external stakeholder presentations.

• Excellent interpersonal and communication abilities.

• Capability to work effectively across functions and organizational levels.

• Ability to thrive in a fast-paced, highly-matrixed environment.

• Strong strategic, analytical, and creative thinking skills.

• Ability to navigate ambiguity and transform complexity into actionable structures.

• Proficient in working independently while also collaborating efficiently within a team setting.


🏝️ Benefits

• Fully remote work arrangement.

• Reasonable accommodations for applicants with disabilities.

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