Senior Manager, Business Analytics

CVS Health

1d•Remote

About The Position

CVS Health is dedicated to building a world of health around every individual, fostering a more connected, convenient, and compassionate health experience. At Aetna, a part of CVS Health, the team proudly serves over 26 million medical members through a broad range of health plan offerings, committed to delivering a simpler, more meaningful, and personal health care experience. The Senior Manager, Business Analytics will be crucial in supporting Aetna members and the business by transforming complex data into actionable insights to enhance mental health outcomes, access, and affordability. This role involves close collaboration with cross-functional partners to identify analytic opportunities, develop robust reporting solutions, and enable data-driven decision-making that supports the mission of fostering a healthier, more resilient community. This individual contributor position will partner with business leaders, clinicians, analysts, and external stakeholders to develop strategies for analytics solutions, including measurement strategies to monitor, report, and present performance indicators.

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.
Ability to work independently and effectively to drive projects to completion.
Ability to manage conflicting priorities and multiple projects concurrently.
An ability to travel up to 10% for meetings as needed.
Bachelor's degree in computer science, information technology, information systems, business, healthcare, or related field.

Nice To Haves

Experience with Google Cloud Platform services such as BigQuery and Vertex AI.
Experience with BI, data wrangling, and reporting tools (Tableau, Power BI, Alteryx, Dataiku, Business Objects, or similar).
Master’s degree preferred.

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.
Monitors availability, consistency, and accuracy of business data.
Provides feedback and advice to management to guide decision making.