Senior Manager, Business Analytics

About the role

We are seeking a Senior Manager, Business Analytics to join our team at Aetna, part of CVS Health. You will play a critical role in supporting our Aetna members and our business by translating complex data into actionable insights that improve mental health outcomes, access, and affordability.

Responsibilities

• Serves as a trusted partner and advisor to business leaders.
• Manages communications with external providers and vendor partners to drive improvement in clinical quality, access, member experience, and other performance outcomes.
• Develops robust business cases, visual insights, and presentations to communicate clear quality improvement objectives, metric definitions, evaluation methods, and performance results to various audiences.
• Presents clear, data-driven narratives, visualizations, and recommendations to business leaders and stakeholders to drive informed business decisions.
• Develops project plans, timelines, and implements project objectives on time from start to finish.
• Collaborates with internal and external stakeholders to translate business needs into requirements.
• Performs analyses using healthcare claims, clinical, and financial data in a relational database environment, including development of SQL queries and stored procedures.
• Develops reports and dashboards by combining and aggregating data from multiple sources.
• Interprets results and makes recommendations for improved processes, metric definitions, and evaluation methods.
• Performs extensive data validation to ensure results meet stakeholder needs.
• Prepares documentation such as process diagrams, wireframes, metric definitions, and pseudocode.
• Maintains availability, consistency, and accuracy of business data.
• Provides feedback and advice to management to guide decision making.

Requirements

• 7+ years of healthcare payor or provider experience managing analytics, quality measurement and improvement initiatives.
• 5+ years of experience conducting analysis with healthcare claims and services data.
• 5+ years of experience with SQL programming in a data warehouse or big data analytics environment.
• 5+ years of experience developing business cases, visual insights, and PowerPoint presentations to drive business decision making.
• 5+ years of experience analyzing data with Excel, BI and data wrangling tools (Power BI, Tableau, Alteryx, Dataiku, or similar).
• 5+ years of experience developing KPIs for performance and quality improvement initiatives.
• Strong knowledge of user-centered design principles and visualization best practices.
• In-depth knowledge of healthcare industry standards, regulations, and data privacy.
• Strong analytical and problem-solving skills are essential, as well as time management, attention to detail, and adaptability.
• Strong project management and organization skills.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and present findings and results to various audiences.
• Able to work independently and effectively to drive projects to completion.
• Able to manage conflicting priorities and multiple projects concurrently.
• An ability to travel up to 10% for meetings as needed.

Preferred Qualifications

• Demonstrated ability to synthesize complex data into actionable insights, strategic recommendations, and executive-level presentations that influence business decision-making highly desired.
• Experience with Google Cloud Platform services such as BigQuery and Vertex AI.

Education

• Bachelor's degree in computer science, information technology, information systems, business, healthcare, or related field.
• Master's degree in Healthcare Administration, Public Health, or a related field preferred.

Pay Range

The typical pay range for this role is $67,900.00 - $149,328.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.