Lead Analyst , Medical Cost Analytics / Utilization Management - Remote
CVS HealthAbout the role
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Position Summary
The Lead Analyst, Medical Cost Analytics / Utilization Management role will apply experience from strategy consulting and analytics to successfully act as the product owner for multiple analytics initiatives. The Lead Analyst will be regarded as a specialist, evaluating trends to save medical costs. This role will drive strategic decisions thru detailed economic analysis, sharing ideas and driving initiatives for medical cost savings.
Responsibilities include:
Consulting on the creation of analytics solutions that effectively weigh business and technical tradeoffs using an advanced understanding of business strategy as well as relevant big data environment topics.
Acting as an analytics product owner translating business needs into analytics projects and actions.
Collaborating with business partners to understand their problems and goals, performing statistical analysis, developing data reports and performance metrics.
Consulting with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level.
Acting as an analytics product owner translating business needs into analytics projects and actions.
Structuring data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solution.
Understanding key drivers of business value and being able to translate into business opportunities and frame them as analytical problems. i.e. how to grow business
Ability to translate business problems into analytical solutions by knowing appropriate models to suggest to data scientists.
Understanding and recommending modeling techniques to data scientists.
Presenting recommendations to senior staff and internal clients.
Mentoring more junior team members.
Shareing insights across teams.
Autonomously leading the business partner relationship.
Leading development of solutions with high complexity and risk.
Required Qualifications
7+ years' leading analytics initiatives with a track record of business impact
5+ years' experience using SQL to extract, manipulate and analyze large datasets
4+ years experience working in Healthcare industry, with Healthcare data
4+ years' experience in strategic consulting or on strategy teams in a large company, providing actionable insights and recommendations to senior leaders and stakeholders to support strategic decision making
3+ years' experience identifying trends and opportunities for cost savings initiatives and evaluating the effectiveness of programs
Excellent communication and presentation skills, with the ability to explain complex data and findings to a variety of stakeholders
Strong organizational skills, with the ability to manage multiple projects simultaneously
Collaborative with a growth mindset and excellent interpersonal skills
Knowledge of healthcare industry trends and regulatory changes
High proficiency with Microsoft Office Suite including MS Excel and PowerPoint.
Preferred Qualifications
Proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
Education
- Bachelor's degree in Finance, Econ
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