Manager, Data Analytics

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Skills you'll use

What you'll do

• Provide thought leadership & strategic thinking to translate business problems into analytical and clinical configuration frameworks,and independently recommend actions and provide business insights
• Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analytic solutions that includes data gathering, analysis, ongoing scaled deliverables, and presentations
• Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization
• Foster a collaborative and innovative culture, set clear goals, mentor staff.
• Establish best practices and coach team members to develop and execute complex analytics initiatives with scalability and reusability in minds
• Develop, implement, and monitor day-to-day operations of analytics and clinical configuration team
• Execute analytics initiatives that directly impact our auto decisioning roadmap and business outcomes while working as part of a cross-functional team.
• Partner with Data Governance to ensure tractable and explainable analytics and responsible data
• Research, design, execute and optimize auto-decisioning strategy for new client implementations with minimal guidance and owning the end-to-end process
• Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making

Who can apply

• 5+ years of hands on management experience in healthcare analytics
• 7+ years of experience in data science, analytics, and governance with at least 2 years of management experience hiring and developing teams
• Strong software development skills with proficiency in Python and SQL. Experienced user of data science libraries
• Proven track record in building and scaling data analytics teams, including recruitment, mentoring, and performance management.
• Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning and data science model knowledge to digestible information for non-technical audiences.
• Expertise in translating complex business problems into end-to-end data products with a quantifiable business impact
• Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science.
• Solid understanding and experience in machine learning algorithms, statistics, pattern recognition, classification, and data mining models.
• Comprehensive knowledge of the healthcare industry, products, systems, business strategies and products.
• Experience designing patient and provider analysis strategy and generate actionable insights from claims, emr and/ or lab data

About Cohere Health

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