Technical Data Analyst, Peacock

Stamford, CT, United States

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Company Description

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

Job Description

Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you’ll find more than a job. You’ll find a fast-paced, high-performance team of incredible colleagues that want to be at the epicenter of technology, sports, news, tv, movies and more. We work hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment. 

As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us.  We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent. 

As a member of the Peacock Video Quality & CDN Team, you will perform complex data analysis, design and create queries across multiple data sets and make them available for consumption through dashboards and/or ad hoc reports.
Working alongside Data Engineers and CDN Architects, you will deliver key insights and analytics that will help make better business decisions, improve KPIs and deep dive on issues particular to video and ad delivery systems.


  • Provide daily trend analysis on Core video KPIs
  • Serve as the regional Video Metrics SME, interfacing with other technology domains and providing expertise to support, development and operations teams
  • Work with front end RUM and backend KPI data
  • Work with ML-based alerting and anomaly detection systems
  • Play an integral role in the contribution towards the international supplier choice and commercial management strategy


  • Bachelor’s degree in Computer Science, Information Technology or a relevant field
  • Minimum five (5) years of experience working with video or similar data sets
  • Solid understanding of telecommunication & Internet technologies
  • Solid understanding of IP video chain (e.g. encoding, packaging, origin later; network integration)
  • Experience in video performance management
  • Ability to oversee communications concerning CDNs including presentations to executives and building detailed design documentation
  • Experience with creating data visualizations to communicate metric performance.
  • Experience with statistical analysis or data modeling techniques.
  • Experience building data infrastructure and implementing reporting solutions.
  • Experience with Google and Amazon Cloud tools is a plus
  • Ability to manage multiple projects simultaneously and deal with ambiguity
  • Excellent verbal and written communication skills
  • Background in utilizing SQL/Python to extract, manipulate, and analyze datasets.

Desired Characteristics:

  • Strong analytical skills with a ‘join-the-dots’ approach
  • Knowledge of data analytics, modelling and statistical analysis
  • Experience working as part of a geographically distributed team
  • Proactive, independent, and able to articulate to a technical and non-technical audience.
  • Should be a problem solver with an open mind and an eagerness to pick-up new skills
  • Minimum five (5) years of experience working with video or similar data sets
  • Solid understanding of telecommunication & Internet technologies
  • Telecommunications industry experience (or similar e.g. academia). BSc / MSc / PhD in Computer Science, Electrical Engineering or similar

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $100,000 -   $130,000; bonus eligible

Additional Information

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.

Tags: Computer Science Data analysis Data Analytics Engineering KPIs Machine Learning PhD Python SQL Statistics Streaming

Perks/benefits: Health care Insurance Medical leave

Region: North America
Country: United States
Job stats:  7  3  0
Category: Analyst Jobs

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