Analyst, Video Analytics
The Adelphi, London, GB, United Kingdom
Condé Nast
Location:
London, GBCondé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.
We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe.
The Role
We seek a data-driven Analyst of Video Analytics to join our Audience Strategy Analytics team. In this role, you must have technical experience with modeling, data wrangling and generally excel at data reporting and visualization at scale. The ideal candidate will have a proven track record in the digital video space and a deep understanding of the strategies that drive successful video performance in this industry. The position will be based in the UK or Mexico and report to the Director of Audience Strategy Analytics.
You will oversee and drive the execution of the data analytics pipeline and deliver tools to enhance video performance and effectiveness. You will be responsible for leveraging data to optimize and improve Condé Nast’s digital video footprint to drive business growth.
What will you be doing?
Support Condé Nast’s YouTube-first video strategy by operationalizing bespoke analyses by exploring, transforming, and synthesizing the available YouTube data but also off-platform partners (CTV, Social, and Partners Sites)
Leverage SQL for dashboarding tools to create reports for key leadership in editorial and audience development; tracking traffic changes and growth opportunities
Maintain, track, and govern video metadata (and lead on resolving metadata gaps as needed) that is required for accurate and actionable data reporting
Cross collaborate with internal teams, including programming, operations, branded, commercial and finance, to ensure seamless integration and execution of cross-functional initiatives, including forecasting and KPI-setting
Provide guidance for KPI forecasting across all brands and markets for video, collaborating cross-functionally to approve, estimate, and monitor KPIs
Prepare and automate daily, weekly, monthly, quarterly reports and presentations to communicate analytics commentary to key stakeholders
Consistently look at video analytics data to identify trends, patterns, and opportunities to optimize campaigns, improve content performance, and enhance user experience
Own cultural tentpole analysis and Ad Hoc requests for pulling data and turning it into a cohesive narrative easily understandable by stakeholders
Stay informed about industry trends, competitive landscape, and emerging opportunities in the media and entertainment landscape. Integrate audience shifts and platform trends into any analysis that’s provided
Who you are:
1-3 years of specialization in Data Science / Analytics: SQL, Advanced Excel, Python
Bachelor's degree in business, marketing, computer science, or a related field
Strong understanding of KPIs for digital video businesses
Self-starter who can provide video analytics dashboard support cross-functionally (Consumer, Partnerships, Product, Data Engineering, Business Intelligence)
Strong analytical skills to use data to drive strategic decision-making on video platforms: YouTube, Social, O&O, CTV, Partner Sites
Proficiency in analyzing large volume of video data, extraction actionable insights, and presenting findings through visualizations
Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously
Experience creating models, projections, and executive materials
Expertise in developing projection models and testing creative programming strategy in video
What benefits do we offer?
25 days holiday and extra days of annual leave for life events
Core hours
Competitive pension scheme
Bupa Private Healthcare
Enhanced maternity leave and family leave
Season ticket loans
Cycle to work scheme
Employee Assistance programme
Bring your dog to work
A wide variety of wellness benefits including gym discounts
Discounts and Magazine Subscriptions
Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce
Condé Nast Learning Hub where you’ll find all Condé Nast-developed learning courses and training, and over 16,000+ courses in seven local languages
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data Analytics Engineering Excel Finance KPIs Python SQL Testing
Perks/benefits: Career development Team events Wellness
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