Act as an analytics product owner, translating business needs/requirements into analytics projects and actions. Collaborate with data engineering teams to build reliable, scalable and automated data pipelines using Hadoop, Apache Spark/Flink. Mine big data to find actionable insights for driving ongoing improvements and fertilizing new discoveries using tools like Rattle and Rapid Miner. Manage end-to-end view of marketing performance through creation of marketing and sales online/offline attribution models, visualization of full funnel performance, demand modeling, and lead forecasting. Apply machine learning and optimization algorithms to maximize the efficiency of Aetnas book of business. Develop and enhance statistical inference models required to retrospectively measure the financial impact of cross-channel advertising spend, inform volume and mix of future spend using languages like R/Python. Conduct A/B testing and Hypothesis testing for new designs and products to drive member acquisition and engagement.
Masters degree in Computer Science, Management Information Systems related field, Minimum two years of data analytics related experience. Must have experience with the following: Programming languages like Python, R, Pig Latin, Bash scripting, SAS, Hive; Data Management technologies/Frameworks including Hadoop, Spark, SQL, MySQL, Microsoft SQL server 2005/2008, Oracle, IBM Netezza, AWS S3, RedShift, Flink; Data visualization tools including Tableau, MicroStrategy, Microsoft Power BI, Dataroma, R Shiny; Data Mining tools including Rattle, Rapid Miner, Oracle Data Mining; and Data science techniques including predictive modeling, forecasting and machine learning.
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