Applies experience from strategy consulting, analytics, and data engineering to successfully act as the product owner for multiple analytics initiatives. Regarded as a specialist with deep content specific knowledge.
Consults with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level. Acts as an analytics product owner translating business needs into analytics projects and actions. Ability to structure 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. eg how to grow business? Ability to translate business problems into analytical solutions by knowing appropriate models to suggest to data scientists. Understands and recommends modeling techniques to data scientists. Presents recommendations to senior staff and internal clients. Mentors more junior team members. Shares insights across teams. Reviews work of more junior team members. Autonomously leads the client relationship. Leads development of solutions with high complexity and risk. Consults 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. Acts as an analytics product owner translating business needs into analytics projects and actions. Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
4 years of business experience leading analyses and initiatives with track record of business impact.Minimum 7 years total business experience2+ years of people management experience4 years experience strategy consulting or on strategy teams in large companies3 years experience programming using R, Hadoop, or PythonStrong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.Anticipates and prevents problems and roadblocks before they occur.Healthcare sector experience preferredDemonstrates strong ability to communicate technical concepts and implications to business partners.Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas. Bachelor degree in quantitative field, or an equivalent combination of formal education and experience. Master's degree in quantitative field or MBA strongly preferred.
Percent of Travel Required
0 - 10%
Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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