The Data Scientist will be instrumental in helping WWE continue its evolution into a data driven, analytical culture. This role will support internal stakeholders through hands-on quantitative analytics, including, but not limited to, video streaming data; applying appropriate advanced analytics for key business initiatives; and automating the reports that are generated as a spinoff of findings. The ideal candidate will have a proven track record of identifying and highlighting key insights, signals, and trends deep within the underlying data. The role will also be responsible for applying appropriate analytic techniques for key business initiatives in a timely manner. This position requires a well-rounded individual with the ability to write code to query data. The individual will also be responsible for visualization and automation of reports that are generated as a spin-off of his/her findings, so experience publishing reports using visualization and presentation tools is also important. Equally important, our new team member should enjoy generating actionable insights by analyzing data. This position will be based in our Stamford, CT headquarters. . Key Responsibilities: Interact with stakeholders to identify critical questions that need to be answered in order for the Analytics function to provide effective KPI’s — actionable insights, rather than just reports Conduct analysis and data modeling to draw insights that drive critical decision making and to uncover subscriber patterns, user consumption, and behavior Analyze data to identify outliers, missing, incomplete, and/or invalid data Ensure accuracy of all data from source to final deliverable by creating automated quality checks Assist in the coordination of data collection from various sources which may include contacting various groups outside the company to resolve questions, inconsistencies, and/or obtain missing data Assist in the development of analytic tools, KPIs, dashboards, and systems to help build out the analytics platform Create, automate, and maintain reports and visualizations (e.g., behavioral trends across customer segments, global consumption of VOD and live stream, digital media attribution, etc.) Work with data warehousing team to design optimal data architecture for BI tools Work as a client contact for analytics, partnering with various departments to identify priority dashboards and reports to better serve the company Design and build dashboards and automated reports with embedded visualizations Qualifications: 3+ years of related Data Analytics experience Proven track record of identifying and highlighting key insights, signals, and trends deep within the underlying data Well-rounded individual with the ability to write code to query and transform both unstructured and structured data Experience publishing reports using visualization and presentation tools Should enjoy generating actionable insights by mining and modeling data and be passionate about answering challenging questions and telling stories with data and visualizations Self-motivated, attentive to detail, and driven to continuously improve analytics skill set SQL, SAS, Python, Big Query, Google Analytics, Excel, and Tableau SPSS and/or R Bachelor degree in Mathematics, Statistics, Econometrics, Actuarial Science or related quantitative discipline
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