Business Analytics Senior Advisor

Partner with the data engineering and data quality teams to develop a data environment to ensure the availability, accessibility, consistency and reliability for all data required to perform reporting and analytics from descriptive through predictive/prescriptive, including marketing efforts. Partner with key stakeholders to extract insights on digital campaigns. Lead the development of marketing analytics strategy and roadmaps, collaborate with digital campaign leaders to identify analytic challenges, and develop solutions. Facilitate the measurement and optimization of customer campaigns focused on digital registration and engagement. Manage the development of predictive models, segmentation, audience selection, experimentation, and statistical analysis to improve the performance of marketing efforts. Build fully automated dashboards for customer data platform campaigns to measure results and report insights/performance to senior leadership. Create hypothesis formulations, test designs, perform A/B and multivariate testing, develop scalable standard practices for process automation and insight generation, provide recommendations to key stakeholders, and develop data-driven insights. Turn insights into actions in an iterative cycle to improve key metrics. Oversee creation of insightful data visualizations, charts, maps, graphics, etc. Identify high impact opportunities focused on engagement and containment goals by synthesizing & analyzing existing call center data. Provide analytics consulting and support for digital campaigns for various digital products. Partial virtual/work from home benefit available.
Position requires a masters degree or foreign equivalent in Business Analytics and Project Management, Data Science, or related plus two years of experience in business analytics or a bachelor's degree or foreign equivalent in Business Analytics and Project Management, Data Science or related plus five years of experience in business analytics. Must have experience in the healthcare domain and experience with data extraction, manipulation, and warehousing tools, including SQL, SAS, and Tableau.
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Thank you.