Senior Analytics Consulting Manager
Leads end-to-end delivery of complex healthcare analytics projects, translating business questions into data insights, managing client relationships, and driving team performance. Requires 8+ years in healthcare analytics, proficiency in SQL/Python/R, and strong project management skills.
About the job
Responsibilities
- Manage the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery.
- Translate ambiguous business questions into tractable data analysis projects.
- Interpret and investigate data and statistical questions that arise through the delivery of client work.
- Collaborate with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables.
- Serve as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle.
- Monitor project progress and performance, proactively identifying risks and implementing mitigation strategies as needed.
- Stay abreast of industry trends and best practices in healthcare analytics, incorporating new insights and technologies into our service offerings.
Requirements
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
- Minimum of 8 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients.
- Strong project management skills, with experience leading cross-functional teams and managing client relationships.
- Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.
- Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
Nice-to-Haves
- Experience working in a consulting or professional services environment, preferably within the healthcare industry.
- Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure.
- Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR.
- Advanced analytical skills, including predictive modeling, machine learning, and data visualization.
Expectations of AI Use
- Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.
- Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.
- Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.
- Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.
- Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.
- Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot.
Skills
SQL, Python, R, AWS, GCP, Azure, Predictive Modeling, Machine Learning, Data Visualization, Statistical Analysis
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