Solution Strategist (Analytics Strategy) - CVS Health
Location: Greater Boston OR Northbrook IL
Job Type: Analytics
IQ Workforce is a leading recruiting firm for the global engineering, analytics & data science communities.
Our client partner, CVS Health, is hiring Solution Strategists in their Enterprise Analytics organization. As CVS Health now makes up a PBM (Caremark) and one of the nation’s largest health insurers (Aetna), you will have the opportunity to create programs that use an unprecedented level of health data to improve health outcomes. If you are passionate about making a difference in the work you do, being recognized for your talent and expertise in solving complex and challenging analytical/data problems while contributing to the success of key strategic initiatives, consider growing your career with a Fortune 10 healthcare leader!
The Analytics Strategy Advisor role within the Finance Analytics team provides leadership and coordination of drug price analytics initiatives aimed at maximizing financial impact & value for the PBM business. The role is responsible for designing and leading implementation of price optimization solutions by collaborating with analytic partners and business partners from Finance, data strategy, IT and other analytics teams to develop effective solutions for our partners.
This position will enable data-driven strategic decision-making and find opportunities for existing analytics solution improvement and development with supporting new pricing initiatives. The Analytics Strategy Advisor will also develop roadmaps and detailed project plans to succinctly convey progress and issues to senior leadership teams.
What the Analytics Strategy Advisor will do within the Finance Analytics team:
Develop business cases that estimate costs and benefits in order to demonstrate the value to the business and guide prioritization decisions
Support development and implementation of machine learning models and optimization algorithms
Collaborate with key internal and external partners to gather and analyze needs and requirements
Assess existing available data, identifying data gaps, and collaborating with the data strategy team, IT, business partners, and outside vendors to develop approaches to closing the data gaps
Coordinate projects and activities across multiple teams in a matrix organization
Support analyses of data, ranging from descriptive ad-hoc analyses to in-depth investigations of drug pricing, healthcare utilization trends and outcomes with several statistical modeling approaches, such as regression modeling, time-series analyses, optimization and machine learning techniques including random forests and ensemble models
Support design and implementation of robust analytic and reporting solutions to support the identified needs
Construct and deliver written reports of your findings in a variety of formats (reports, PPT, including visualization of your findings, formulate recommendations, and effectively present the results to with non-analytic audiences
Apply creativity in developing analytic solutions based on available data sources, and representing analytic findings in reports, tools, and other media to support most effective translation and application for our customers
Master’s Degree in qualitative field such as Statistics, Biostatistics, Analytics, Epidemiology, Public Health or Economics + 3 years professional experience or Doctorate degree +1 year experience.
2+ years’ experience problem solving and constructing analytic solutions to business problems;
2+ years’ experience interacting with and influencing decision-making by business audiences;
2+ years of previous work experience in data analysis and predictive modeling
2+ years’ experience using R and Python
2+ years’ experience using advanced technical skills, with proficiency in SQL
Experience with machine learning (i.e. feature engineering, model selection, validation, etc.) or price optimization
Experience developing and applying forecasting methods and models
Proven ability constructing, validating, and maintaining predictive models in healthcare settings;
Knowledge and experience with healthcare industry and healthcare data
Experience with time series and forecasting methods
Experience working with data visualization platforms such as Tableau and MicroStrategy
Experience with relational databases
Proven competencies in collaboration, creative problem solving and agility
Possess a strong curiosity to continuously learn data science techniques and tools
Possess strong organizational skills and ability to work in a climate of ambiguity
Demonstrate excellent relationship management, strong team building and the ability to work across business units within a complex organization
Excellent project management skills and ability to deliver in the fast-paced evolving environment
Educational background may serve as a substitute for part or all of the length of relevant employment requirement
Outstanding written and oral communication skills, including developing and presenting strategic plans and presentations to executive and technical audiences with the goal of obtaining feedback and alignment on project goals and delivery strategies