lead the development of analytics that inform pharmacy strategy and performance
Conduct advanced analyses to evaluate pharmacy marketing campaign effectiveness and member behavior
Leverage dashboards & reporting tools for marketing leadership and stakeholders
Collaborate with cross-functional teams to align analytics with strategic goals
Translate complex data into clear, actionable insights
Mines, cleans and analyzes data from company databases and external data sources to build prediction of marketing goals, report on campaign performance over time by each channel
Develop custom machine learning models such as segmentation, multi touch attribution, churn models etc.
Use predictive modeling to bring insights into Humana member experiences utilizing Regression, Random Forest, XG Boost models, clustering, text mining for revenue generation, and other business outcomes
Conduct a power analysis, do hypothesis testing, develop marketing A/B test design, support implementation of the tests and present the statistical findings of the test to our business partners
Develop processes and tools to monitor and analyze model performance and data accuracy
Coordinate with different functional teams to implement models and monitor outcomes
Test Design and Analysis: responsible for valid test design, appropriate sample sizing and setup to ensure results are statistically significant and insights are generated
Responsible for advocating and building the discipline for continual testing, measurement, and iteration
Use mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Requirements
Bachelor's degree in data analytics, Pharmacy, Business, healthcare, related quantitative field OR 3–5 years of data analytics or data science experience
3+ years of demonstrated proficiency in SQL, Python, or R for data analysis and modeling
3+ years, strong experience with data visualization tools (e.g., Tableau, Power BI)
3+ years of experience with setting up causal inference experiments
Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
Be able to create reports, projections, models, and presentations to support business strategy and tactics
3+ years and knowledge of predictive modeling and segmentation techniques
Benefits
medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance
Applicant Tracking System Keywords
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