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Data Lead, Viewing Product Analytics - job 2 of 3

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we'll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

What you'll do:

  • Partner with Viewing Product teams to understand strategic roadmaps and how metrics will influence their decisions
  • Drive adoption of Databricks for self-serve analysis, enabling stakeholders to independently access and analyze key metrics. 
  • Democratize data access by developing tables and data sets to support efficient self-service exploration and analysis
  • Work within large datasets to interpret trends and turn those into actionable recommendations
  • Work with data engineering and analytic/data science partners to create opinionated datasets to unlock business insights.
  • Build and distribute actionable dashboards or reports. Work with stakeholders to ensure informed decisions follow from these sources
  • Gather cross-functional use cases for data access. Partner with Data Engineering teams to identify and enhance data sources

Qualifications

  • At least 4 years of experience working in a data-oriented role
  • BA/BS or MS degree in a quantitative area of study (Statistics, Mathematics, Economics, Finance, or Computer Science) or relevant work experience
  • Proficient in SQL and BigData (Databricks Experience a plus)
  • Experience with Tableau, Looker, Domo or equivalent data visualization tools
  • Experience working with large datasets
  • Knowledge of A/B and multivariate tools, as well as statistical models 
  • Demonstrates strong attention to detail, work ethic, sense of curiosity, accountability, and ability to execute projects of all sizes with vision & purpose
  • Strong interpersonal skills with the ability to motivate, collaborate and influence
  • Ability to deliver on multiple projects and meet tight deadlines
  • Self-driven, confident, resourceful, and resilient
  • Intellectual curiosity and interest in media industry or product

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

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: $115,000 - $145,000 (bonus and long-term incentive eligible)

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. 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, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

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Average salary estimate

$130000 / YEARLY (est.)
min
max
$115000K
$145000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Lead, Viewing Product Analytics, NBCUniversal

Are you ready to take the reins as a Data Lead for Viewing Product Analytics at NBCUniversal? This exciting opportunity is perfect for those passionate about transforming data into actionable insights in the entertainment industry. At NBCUniversal, we pride ourselves on producing world-class content, from film and television to streaming services like Peacock. Your role will be pivotal in partnering with various teams, understanding strategic roadmaps, and figuring out how metrics influence their decisions. You’ll drive the adoption of Databricks for self-serve analysis, allowing stakeholders to independently access and analyze key metrics. Your work will involve turning large datasets into trends that drive informed business decisions, creating dashboards and reports to empower stakeholders. With your at least four years of experience in a data-oriented role, you’ll not only interpret data but also develop tables and data sets to democratize access across the organization. Proficiency in SQL and visualization tools like Tableau will be crucial as you collaborate with data engineers and analysts to build a data culture that fosters exploration and analytics. Combine your analytical skills with intellectual curiosity and a passion for the media industry, and make a significant impact on how we engage our audiences worldwide. Together, we can reflect the ever-changing world through the content we create!

Frequently Asked Questions (FAQs) for Data Lead, Viewing Product Analytics Role at NBCUniversal
What are the main responsibilities of the Data Lead at NBCUniversal?

As a Data Lead in Viewing Product Analytics at NBCUniversal, your key responsibilities include collaborating with product teams to understand their roadmaps, driving the adoption of Databricks for self-service analysis, and democratizing data access by developing relevant datasets. You'll analyze large datasets to identify trends and transform them into actionable business insights, craft reports and dashboards, and work closely with stakeholders to ensure informed decision-making.

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What qualifications are required for the Data Lead position at NBCUniversal?

To qualify for the Data Lead role in Viewing Product Analytics at NBCUniversal, candidates should possess at least four years of experience in a data-oriented capacity and hold a BA/BS or MS degree in a quantitative field like Statistics, Mathematics, or Computer Science. Proficiency in SQL and experience with data visualization tools such as Tableau or Looker are essential for this position.

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How does the Data Lead at NBCUniversal promote a data-driven culture?

The Data Lead at NBCUniversal promotes a data-driven culture by driving the adoption of self-service analytical tools like Databricks, allowing stakeholders to access and explore data independently. By developing accessible datasets and building actionable dashboards, the Data Lead empowers teams across the organization to make informed decisions based on real-time data.

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What tools and technologies does the Data Lead utilize at NBCUniversal?

As a Data Lead in Viewing Product Analytics at NBCUniversal, you can expect to work with tools and technologies such as SQL for data manipulation, Databricks for data analysis, and visualization platforms like Tableau or Looker. Familiarity with A/B testing and statistical modeling is also beneficial for creating and interpreting analytics.

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What is the work environment like for Data Leads at NBCUniversal?

Data Leads at NBCUniversal operate in a hybrid work environment, typically contributing from the office at least three days per week. This allows for collaboration with team members while offering flexibility. NBCUniversal fosters a diverse and inclusive culture where employees' ideas and perspectives are valued, contributing to a collaborative working atmosphere.

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Common Interview Questions for Data Lead, Viewing Product Analytics
Can you describe your experience with data visualization tools as a Data Lead?

When answering this question, focus on your proficiency with tools like Tableau or Looker, highlighting specific projects where you used these tools. Discuss how you created dashboards and reports that provided insights to stakeholders, and emphasize your ability to convey complex data in an understandable format.

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How do you ensure data accuracy in your analysis?

To answer this question effectively, explain the methods you use to validate data, such as cross-referencing multiple data sources and conducting thorough testing. Share examples of how you've implemented quality checks in past projects to maintain high data integrity, which is crucial for making informed business decisions.

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How have you handled tight deadlines in a data-oriented role?

When discussing tight deadlines, detail your time management strategies and prioritization techniques. Provide a specific example of a prior project where you successfully met a tight deadline, showcasing your ability to remain focused, manage multiple tasks, and deliver quality results under pressure.

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Can you give an example of how you've identified trends in large datasets?

In your response, provide a concrete example of a project where you successfully analyzed a large dataset and identified critical trends. Discuss the tools and methodologies you used to perform the analysis and the impact your findings had on the organization's strategies or decision-making.

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What role do you believe collaboration plays in a data analysis environment?

When responding, discuss the importance of cross-functional collaboration in enhancing data interpretation and decision-making. Share specific instances where you collaborated with product teams or data engineers to drive successful outcomes, explaining how collective insights led to stronger results.

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Describe your experience with Databricks or similar platforms.

In your answer, detail your experience using Databricks for data analysis, including any specific projects where you employed this platform. Highlight how it facilitated self-service analysis, and discuss any challenges you faced and how you overcame them.

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What strategies do you use to keep stakeholders engaged with your data presentations?

To keep stakeholders engaged during presentations, emphasize interactive elements, storytelling techniques, and user-friendly visualizations. Share examples of how you've tailored your presentations to meet stakeholders' needs and encouraged discussion by aligning your insights with their objectives.

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How do you stay updated with the latest trends in data analytics?

Discuss your commitment to continuous learning in the rapidly evolving field of data analytics. Mention any courses, blogs, or industry conferences you attend to stay abreast of the latest tools and trends. Highlight your willingness to adopt new methods or technologies that can enhance your work.

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Explain a time when you had to influence a decision based on your analysis.

Provide a specific instance where your data analysis directly influenced a decision-making process. Emphasize your approach to presenting your findings persuasively, the results of your influence, and any metrics that demonstrate the success of your recommendations.

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How do you prioritize projects when managing multiple data requests?

In your answer, highlight your ability to assess urgency and impact when prioritizing projects. Discuss any frameworks or methods you use to evaluate requests and make data-driven decisions about which projects to focus on first, ensuring that you align with organizational goals.

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We are in business to create and deliver content so compelling it entertains, informs and shapes our world. We believe that the talent, creativity and diversity of our people are our greatest resources. We take our business seriously, but do no...

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DATE POSTED
April 11, 2025

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