Manager, Marketing Data Science
WWE
Stamford, CTThis was removed by the employer on 5/1/2019 6:21:00 AM PST
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Full Time Job
Manager, Marketing Data Science:
Responsible for supporting digital subscription and online retail store analytical needs. S/he will execute analytical tasks such as model development, scoring, and deliverable production to support WWE marketing decision makers. Projects/tasks will range from deep dives on specific topics, creation of analytical models, to building reports and dashboards with KPIs and trends. Manager of Analytics will partner with business stakeholders, particularly decision makers responsible for WWE merchandise sales to deliver insights, analyses and reports. This position reports to the Director of Marketing Analytics in the WWE Data Analytics organization and will assist him in supporting marketing decision makers with insights, analyses and adopting data management processes and data quality standards.
Key Responsibilities:
• Execute 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
• Partner with business stakeholders to develop actionable analytical insights, dashboards and reports
• Develop predictive and descriptive marketing models using advanced statistical, optimization, and big data techniques including: multivariate, regression, decision trees/classification, and time series
• Identify critical questions to be answered and contribute to developing analytics-driven solutions and KPIs to enable more effective decision making
• Support ongoing projects including marketing mix modeling, campaign effectiveness and tracking, analysis of sales trends of online retail store, customer segmentation and targeting
• Create models, KPIs, and dashboards to operationalize outcomes of analytics
• Monitor effectiveness of analytical models and ensure accuracy of all data from source to final deliverable through a systematic data quality control process
• Work in complex data environment comprising several heterogeneous internal and 3rd party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses
Qualifications:
• 3 years of processional experience
• Ability to synthesize qualitative and quantitative data and communicate relevant insights and recommendations using presentations, reports and data visualization
• Demonstrated ability to apply statistical techniques to business problems and to leverage machine learning and predictive analytics
• Proven track record of identifying and highlighting key insights, signals, and trends in underlying data
• Working knowledge of CRM processes and technologies, experience with MMM/MROI a plus
• Analytical experience:
• At least 2 years of experience in marketing/sales analytics, targeting and segmentation
• At least 2 years of experience with a statistical analysis tool like R, SAS or SPSS
• At least 2 years of experience performing data management, mining, and manipulation
• At least 1 year of experience in on-shore/off shore delivery of analytics
• Big data platforms (e.g., Redshift, BigQuery, Spark, Qubole)
• Business Intelligence and Data Visualization tools (e.g., Tableau, Cognos, Qlik)
• Industry experience:
• TV, Entertainment, Media, or Sports industry preferred
• Familiarity with digital subscription business desired
• E-commerce/online retail a big plus
• Bachelor degree in a quantitative discipline (e.g., Engineering, Math, Statistics, etc.)
• MS or MBA degree preferred
• Ability to write code to query and transform both unstructured and structured data
• Self-motivated with a ''roll up your sleeves'' work style and great interpersonal skills
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