Data Lead, Viewing Product Analytics - job 1 of 3

As a Data Lead in Viewing Product Analytics at NBCUniversal, your primary responsibilities include partnering with Viewing Product teams to align metrics with strategic roadmaps. You'll drive the adoption of Databricks for self-service analysis, enabling stakeholders to access and interpret key metrics independently. Additionally, you'll analyze large datasets, leveraging your experience to provide actionable insights and build informative dashboards that guide decision-making.

To qualify for the Data Lead position in Viewing Product Analytics at NBCUniversal, candidates should possess at least 4 years of experience in a data-oriented role, along with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, or Computer Science. Proficiency in SQL and familiarity with data visualization tools like Tableau or Looker is essential, as well as a demonstrated ability to work with large datasets and perform statistical analyses.

For the Data Lead role in Viewing Product Analytics at NBCUniversal, familiarity with SQL and BigData, particularly Databricks, is highly beneficial. Experience with data visualization tools such as Tableau, Looker, or Domo is also essential. Understanding A/B testing and statistical models will empower you to provide actionable recommendations based on your data insights.

NBCUniversal actively seeks to foster a diverse, equitable, and inclusive workplace. As part of its commitment, the company encourages applicants from all backgrounds to apply for the Data Lead in Viewing Product Analytics position. This dedication to diversity is reflected in the company's initiatives, ensuring that all employees feel supported and heard in their roles.

The salary range for the Data Lead position in Viewing Product Analytics at NBCUniversal is between $115,000 and $145,000, which includes eligibility for bonuses and long-term incentives. The comprehensive benefits package further enhances the overall compensation, providing company-sponsored medical, dental, and vision insurance, retirement plans, tuition reimbursement, and additional perks.

In responding to this question, consider sharing specific examples of your past work that involved data analysis, particularly any relevant experience with large datasets. Highlight the tools you used, such as SQL or Databricks, and detail how your analysis led to actionable insights and improvements in decision-making processes.

When answering this question, you should emphasize your attention to detail and systematic approach to data validation. Discuss methods you use, including cross-referencing data sources, performing consistency checks, and your process for regularly reviewing and recalibrating datasets to ensure accuracy before presenting findings.

Be ready to share your proficiency with specific data visualization tools you're familiar with, such as Tableau or Looker. You can elaborate on how you've utilized these tools to create impactful visualizations that helped stakeholders understand complex data sets, thus supporting their decision-making processes effectively.

In your response, focus on a particular instance where your data analysis led to a significant organizational change or decision. Detail the analytical methods you used, the insights you gleaned, and how you presented these findings to stakeholders to influence their choices.

Discuss your approach to managing your time and prioritizing tasks. Highlight strategies such as assessing the business impact of each project, setting deadlines based on urgency, and how you communicate with teams to ensure all projects progress smoothly while meeting critical timelines.

In your response, emphasize the importance of tailoring your communication to your audience. Discuss using clear, jargon-free language, visual aids, and storytelling techniques to convey complex data insights in an accessible manner that resonates with non-technical stakeholders.

A/B testing is crucial because it allows you to make data-driven decisions by comparing the efficacy of two versions. Elaborate on how you would set up an A/B test, the metrics you'd track, and how to interpret the results to inform future strategies or product enhancements.

Reveal your familiarity with statistical modeling techniques you have employed in your previous roles. Discuss specific models you've used, what types of data they applied to, and how these models helped answer key business questions or guided strategic initiatives.

Highlight your commitment to professional development by discussing your strategies for staying informed about industry trends. This may include attending workshops, participating in webinars, or following key influencers in data analytics and technology on social media to ensure you’re applying the latest tools and methodologies in your work.

Express your enthusiasm for joining NBCUniversal by aligning your passion for data analytics with the company’s mission of storytelling and entertainment. Speak to how the role resonates with your career goals and how your skills can contribute to the company’s success in informed decision-making.