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Senior Data Engineer
Entertainment & Media Industry Company
New York, NY, United States
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ABOUT US:
Company Corporation (NYSE: Company.A and Company) is a mass media company that creates and distributes industry-leading content across a variety of platforms to audiences around the world. The Company has businesses with origins that date back to the dawn of the broadcasting age as well as new ventures that operate on the leading edge of media. Company owns the most-watched television network in the U.S. and one of the world’s largest libraries of entertainment content, making its brand - "the Eye" - one of the most recognized in business. The Company’s operations span virtually every field of media and entertainment, including cable, publishing, radio, local TV, film, outdoor advertising, and interactive and socially responsible media. Company’s businesses include Company Television Network, The CW (a joint venture between Company Corporation and Warner Bros. Entertainment), Showtime Networks, Company Sports Network, TVGN (a joint venture between Company Corporation and Lionsgate), Smithsonian Networks, Simon & Schuster, Company Television Stations, Company Radio, Company Outdoor, Company Television Studios, Company Global Distribution Group (Company Studios International and Company Television Distribution), Company Interactive, Company Consumer Products, Company Home Entertainment, Company Films and Company EcoMedia.
DESCRIPTION:
This role requires experience in predictive and exploratory analytics, querying data systems, performing research and data manipulation. The Sr Data Engineer will work closely with Sales, Digital Services, Research, Marketing, IT and Strategy & Analysis teams to use data to help build an analytics platform highly aiding in revenue making methods for the company. We are looking for someone with strong statistical background who is passionate about analytics, thrives in an evolving environment, and brings an enthusiastic and collaborative attitude.
Job Responsibilities:
• Build and execute analytics and reporting across platforms to identify user behavior and analyze trends, patterns, and shifts in revenue and consumer behavior, both independently and in collaboration with divisions and data analytics resources
• Develop best practices for configuring analytics technology, for analyzing product shifts and consumer behavior on multiple platforms, and for collecting and interpreting data from multiple sources
• Identifies and acts upon opportunities for continuous improvement.
• Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations.
• Recognizes abstract patterns and relationships between apparently unrelated entities or situations.
• Applies appropriate concepts and theories in the development of principles, practices, techniques, tools and solutions.
• Gathers and analyzes information or data on current and future trends of best practice.
• Seeks information on issues that affect the progress of organizational and process issues.
• Translates up to date information into continuous improvement activities that enhance performance
• Present and communicate data insights in an effective and efficient manner to the decision makers
QUALIFICATIONS:
Skills/Experience Required:
• 10+ years experience in Information Technology
• 6+ years experience in mathematical, machine learning techniques and algorithms,
• 6+ years experience with data science toolkits, such as R
• 5+ Experience with data visualization tools, such as Company website, GGplot, etc.
• 3+ years experience in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Excellent communication skills
• Expertise in crafting presentations for specific or broad audiences
• Experience in data integration and modeling is required
• Comfortable working both as part of a team, and independently
Success Criteria:
To be successful at this role, the Data Engineer must possess the following characteristics:
• You have an ability to communicate technical results to a wide variety of audiences.
• You are able to develop experimental data models/ designs to help answer unforeseen questions that will influence decision-making in a rapidly changing business environment.
• You are able to think and communicate strategically while delivering tactically.
• You can conceive of innovative approaches to analytics
EEO STATEMENT:
Equal Opportunity Employer Minorities/Women/Veterans/Disabled