Analyst, Global Content Licensing Research

Job Description

Employees

The majority of our employees will have flexibility that allows them to choose a predominantly remote, predominantly in-office, or hybrid setup. Our official in-office locations in the United States includes LA, NYC, Stamford, and Chicago, and we have several other states in which employees may work remotely if their role isn't one that requires them to be in or near the office. We value the health and safety of our people above all else, and our onsite attendance policies reflect that. If there is an on-site requirement for a role, it will be listed in the job description.

For those employees who would like to utilize our offices, full vaccination for COVID-19 is required for physical presence in A+E Networks workplaces. While A+E Networks will consider reasonable

accommodation requests regarding this policy in accordance with applicable law, such requests will not be considered until a conditional offer of employment is extended to a candidate. Applicants should not submit any medical or health information in connection with their application for employment.

THE DIVISION'S STORY
Do numbers tell you stories? Can you relay complex information into impactful insights to non-researchers? Do you enjoy influencing business decisions by providing fact-based recommendations infused with intuition?
Our Research & Insights TEAM is compromised of wizards who practice the craft of ''art and science.'' We spend some of our time looking back at performance-but even more time looking forward making actionable recommendations for growing our business. We specialize in content, audience and revenue insights across all platforms. Come check out our pioneering work in predictive modeling, performance marketing and consumers insights.

This role will support both linear and digital content sales and licensing. You will be heavily involved in analyzing the performance of content we license to various platforms including domestic and international Linear TV, AVOD/FAST and SVOD services. This role requires significant technical expertise with sophisticated analytic tools, a deep interest in media and an inquisitive mind.

WHAT YOU'LL DO:
• Develop and support analyses of A+E portfolio performance
• Collect, normalize and report video consumption of A+E content on both linear and digital platforms, identifying trends and changes and developing narratives to support your work.
• Develop analyses on A+E viewership and develop brand stories with competitive context across A+E for content sales team
• Support A+E content sales process
• Report on audiences and demand for content among new linear and digital distributors (e.g., Defy, Pluto)
• Provide competitive intelligence that supports GCS' sales efforts

(e.g. Network schedule utilization, historical performance and new acquisitions)
• Support the sales pitch process and collateral
• Run external analyses and support forecasting
• Contextualize industry trends such as overall media consumption across platforms, cable subscription trends, and technology and their impact on A+E core business
• How people are spending their time
• Genre trends that are impacting the business
• Modelling
• Average consumption by minute among OTT competitors (e.g., Netflix)
• Impact of non-traditional distributors on the industry
• Thought leadership
• Assist in the development and execution of white papers and positions regarding industry trends
• Build strategic partnerships with research and business colleagues (finance, PR, revenue management, international, etc.)
• Navigate, join and develop reporting across multiple data sources, including Nielsen, Inscape, set-top-box data, Gracenote etc. to unlock value from data that was previously siloed

YOUR STORY [+BEHAVIORS] (what you need to have)
• Expertise
• Have used or been exposed to media research data (e.g., Nielsen, comScore, Adobe Analytics, MRI, etc.)
• Have completed a course of study in data science, business analytics or data engineering
• Hands on experience with at least one Business Intelligence platform, e.g. Tableau Desktop, Power BI, Domo Analytics, etc.
• Understand how to analyze, summarize and report quantitative data. Adept at creating visualizations and dashboards that address critical business questions
• Experience with SQL, Python and R is a plus
• Competencies
• Strategic thinker with strong presentation skills
• Excellent written and verbal skills
• Inquisitive and self-motivated work style
• Strong work ethic and detail-oriented
• Collaborative
• Passionate about media
• Education and experience
• College BA/BS degree in business, media, data science or related course of study
• Experience in TV/Media content, TV Programming, Market Research/Analytics, Media Ad Sales research

Jobcode: Reference SBJ-g382m4-18-216-190-167-42 in your application.