At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
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 Analyst, Medical Cost Analytics / Utilization Management role will analytics to evaluate scenarios and make predictions on future outcomes to solve highly complex business problems and support decision making. The Analyst will be regarded as a specialist, analyzing large data sets in real-time databases and developing mathematical approaches to save medical costs. This role will share ideas and drive 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.
• 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.
• Structuring data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solution.
• Understanding key drivers of business value.
• Translating business problems into analytical solutions by knowing appropriate models to suggest to data scientists.
• Presenting recommendations to senior staff and internal clients.

REQUIRED QUALIFICATIONS

• 5+ years’ experience consulting with internal clients, identifying opportunities to implement data science and analytics solutions to make a business impact
• 4+ years’ experience using SQL to extract, manipulate and analyze large datasets
• 3+ years experience working in Healthcare industry, with Healthcare data
• 3+ 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 with the Microsoft Office Suite including MS Excel and PowerPoint
• 2+ years’ experience identifying trends and opportunities for cost savings initiatives and evaluating the effectiveness of programs
• 2+ year experience communicating and presenting complex data findings to a variety of stakeholders
• 2+ year experience organizing and managing multiple projects simultaneously

PREFERRED QUALIFICATIONS

• Collaborative with a growth mindset and excellent interpersonal skills
• Demonstrated ability to communicate technical concepts and implications to business partners
• Knowledge of healthcare industry trends and regulatory changes
• Demonstrated proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
• Anticipates and prevents problems and roadblocks before they occur

EDUCATION

• Bachelor’s degree in Finance, Economics, Medical Economics, Math, Actuarial Science, Data Science or related field required
• Master’s degree in quantitative field or MBA strongly preferred

• 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.
• 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.
• Structuring data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solution.
• Understanding key drivers of business value.
• Translating business problems into analytical solutions by knowing appropriate models to suggest to data scientists.
• Presenting recommendations to senior staff and internal clients