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Data Scientist
WWE
Stamford, CT, United States
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The Data Scientist will be instrumental in helping WWE continue its evolution into a data-driven, analytical culture. This temp to perm role will support internal stakeholders through hands-on quantitative analytics and analysis including but not limited to social data and sentiment analysis, applying appropriate advanced analytics for key business initiatives, and automating the reports that are generated as a spinoff of findings.
This position will be based in our Stamford, CT headquarters, but there will be some flexibility to work out of our NYC office once fully up to speed and when face-to-face meetings are not scheduled and/or mandatory. This role is temporary to permanent.
Key Responsibilities:
• Drive end to end analytical process: from formulation of requirements, data acquisition, identification of analytical methods, creation/validation of models to business-friendly summarization of results
• Interact with stakeholders to identify critical questions that need to be answered in order for the Analytics team to provide effective KPIs -- actionable insights rather than just reports
• Conduct analysis and data modeling to draw insights that drive critical decision making and to uncover social media patterns, fan engagement, behavior and feedback
• Analyze data to identify outliers, missing, incomplete, and/or invalid data
• Create models, KPIs, and dashboards to operationalize outcomes of analytics
• Create, automate, and maintain reports and visualizations (e.g., social media mentions, competitive engagement, talent impact mapping)
• Work in complex data environment comprising several heterogeneous internal and third party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses
• Design and build dashboards and automated reports with embedded visualizations
Qualifications:
• Proven track record of identifying and highlighting key insights, signals, and trends deep within data
• Well-rounded individual with the ability to write code to query and transform both unstructured and structured data
• Openness to an environment of active developmental feedback and coaching from peers and managers, with desire to learn and grow rapidly
• Experience publishing reports using visualization and presentation tools
• Strong planning and organizational skills
• Should enjoy generating actionable insights by mining 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
• Bachelor’s degree in Statistics/Mathematics, Econometrics/Economics, Engineering/Computer Science, Business/Finance, or related quantitative field
• Working knowledge of at least two technologies: SQL, SAS, Python, Big Query, Google Analytics, Excel, and Tableau
• SPSS and/or R
• Knowledge of social media platforms including but not limited to Facebook, Twitter, Instagram, Snapchat, YouTube
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