Manager, Data Scientist
WWE
Stamford, CTThis was removed by the employer on 11/9/2017 11:20:00 AM PST
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Full Time Job
The Manager, Data Scientist – Digital Analytics will support internal stakeholders through quantitative analytics relating to WWE's digital platforms and lines of business. This will include reporting and analysis, developing data visualizations and interactive dashboards, assisting in the development of WWE's enterprise data platform, statistical modeling and forecasting, and supporting business decisions with data-driven insight.
Key Responsibilities:
• Work with digital stakeholders and managers to understand business objectives; create and maintain weekly and monthly reports for measuring performance
• Conduct ad hoc and deep dive analyses to derive insights and recommendations related to digital trends and consumer behavior on various WWE digital assets
• Assist in development of KPIs, automated interactive dashboards, and forecasting models
• Provide functional specifications and testing support to improving tracking, ingestion, validation, and structuring of data from multiple tools and sources to meet analytical needs
• Conduct proactive data mining and profiling, supporting product and marketing initiatives to optimize digital fan experiences and business outcomes
• Partner with other Data Analytics teams to produce collaborative strategic insights
• Manage data collection, data quality, and data blending
Essential Qualifications:
• Minimum of 4 years of related digital analytics and/or data science experience
• Bachelor degree with analytical focus (e.g., business administration, marketing, statistics, economics, engineering, computer science, mathematics, etc.)
• Strong understanding of consumer web/mobile, app, social, and/or OTT content platforms
• Proficiency in analyzing data from web analytics tools such as Google (or Adobe) Analytics
• Highly Proficient in SQL
• Experience with Business Intelligence and Data Visualization tools (e.g., Tableau, Cognos, Qlik)
• Proficiency in building, maintaining, and validating Excel reports and models
• Experience with statistical toolsets such as R, SPSS, or SAS
• Ability to synthesize complex qualitative and quantitative data and communicate relevant insights and recommendations using data visualization
• Strong organizational skills; ability to handle multiple concurrent projects and work independently
• Strong written and verbal communication skills, including the ability to communicate clearly and confidently with internal stakeholders
Other Relevant Experience (a plus):
• Experience analyzing data from sources such as YouTube, social networks, DFP, video players, and/or digital 3rd party measurement tools (e.g., comScore, Nielsen, Dynamic Logic)
• Basic technical knowledge of tag manager and web analytics tracking implementation & QA
• Understanding of web product development and A/B testing tools
• Experience with application programming languages (e.g. Python, Java) and reporting APIs
• Working knowledge of machine learning and predictive analytics (e.g., regression, clustering)
• Experience working with big data platforms (e.g., Redshift, BigQuery, EMR, Spark)
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