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Senior Analyst, Product Experimentation - 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

We are seeking a Senior Analyst of experimentation to help support our A/B/N testing efforts across multiple Product teams (Viewing, Commerce, Personalization, and Editorial). With the vast amount of content available from NBCUniversal and the ever-evolving and fast-paced product development of Peacock, we will need a smart and capable individual to support the A/B and multivariate testing lifecycle, spanning from sifting through large amounts of data for insights into experimentation, generating informed hypotheses and objectives for data-informed prioritization, designing and conducting tests for statistical significance in continuous and iterative optimization, to analyzing testing results and presenting data-driven actions to a multifunctional team of stakeholders in business and technology.

The candidate should have technical experience and statistical skills with statistical modeling (e.g., hypothesis testing, multivariate statistics) and randomized controlled experimental design (e.g., KPIs, bucketing, sample size, power, statistical significance), A/B/N testing toolsets (e.g., Optimizely, Apptimize, Adobe Target, Split), a programming language for data analysis (e.g., SQL, Python, R), and full-stack streaming devices (e.g., Xfinity, tvOS, iOS, Android mobile/TV, Roku, Play Station, Xbox, Amazon Fire TV).

This role will sit within the larger Decision Sciences team. The goal of the Decision Sciences team is to deliver and champion intelligent use of data that drives a best-in-class customer experience and fuels product growth. The Senior Analyst, Product Experimentation, therefore, should be able to thrive in a collaborative working environment by partnering with other Decision Sciences teams, including Data Science, Data Engineering, Data Measurement, and other Peacock business units across products, content and marketing.

Responsibilities include, but are not limited to:

  • Driving A/B/N experiments in order to directly impact the company's optimization strategy for user acquisition, conversion, engagement, retention, and continuous CLV (customer lifetime value) growth
  • Partnering with Product and Marketing teams, as well as Engineering stakeholders, in order to translate business requirements into experiment designs of robust statistical and technical soundness, and ultimately actionable insights into continuous optimization
  • Designing, conducting, and analyzing A/B/N tests administered to treatment groups against control and holdout groups via statistical modeling in order to ensure analytical power and significance
  • Performing segmentation analyses and statistical modeling on user attributes, content personalization, marketing attribution to inform further testing opportunities
  • Developing reporting dashboards and visualizations in order to streamline the experimentation process and to present results to key stakeholders in an elegant fashion

Qualifications

  • BS in statistics, mathematics, analytics, or related field, or equivalent technical work experience
  • At least two years of experience in an A/B and multivariate testing role, preferably in digital media or video streaming
  • Statistical skills in applying hypothesis testing, calculating critical value, defining p-value, and using z-test, t-test, ANOVA, or chi-square test
  • Proficiency of at least one programming language for data analysis (i.e., Python, R) and cloud-based relational SQL database management systems (e.g., Google Cloud Platform BigQuery)
  • Hands-on experience setting up tests with A/B/N testing tools (e.g., Optimizely, Apptimize, Adobe Target, Split), or demonstrated mastery of experimental design and practical application of same techniques
  • Working knowledge of digital analytics platforms (e.g., Adobe Analytics, Google Analytics), data management platforms (e.g., mParticle), and visualization tools (e.g., Tableau, Domo)
  • Experience querying data in data warehouse systems (e.g., AWS, Snowflake, BigQuery)
  • Ability to translate statistical concepts and probability theories to a general audience
  • A basic understanding of complex machine learning frameworks (e.g., neural network, gradient boosting, etc.) is preferred, but not required

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: $85,000 - $115,000

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.

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

$100000 / YEARLY (est.)
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$85000K
$115000K

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 Senior Analyst, Product Experimentation, NBCUniversal

Are you a data enthusiast with a passion for experimentation? At NBCUniversal, we are on the lookout for a Senior Analyst in Product Experimentation to join our Decision Sciences team at our iconic location in New York, New York. This role is all about diving deep into the world of A/B/N testing and helping to optimize our digital experience across platforms like Peacock, NBC Sports, and many more. As a Senior Analyst, you will support various Product teams by transforming data into actionable insights, paving the way for user acquisition, engagement, and retention strategies that resonate with our diverse audience. If you enjoy collaborating across multifunctional teams while leveraging statistical modeling, hypothesis testing, and cutting-edge A/B/N testing tools like Optimizely and Adobe Target, this position is perfect for you. Your expertise will help inform high-impact decisions that move our products forward and enhance customer experiences. You’ll sift through vast datasets, design robust test frameworks, and analyze results to drive continuous improvement. This hybrid position requires at least two years of experience in experimentation, a strong foundation in statistics, and proficiency in data analysis languages like SQL or Python. With a competitive salary and a culture that embraces diversity, equity, and inclusion, NBCUniversal is dedicated to fostering an environment where every voice is heard. Join us, and let’s create extraordinary content together!

Frequently Asked Questions (FAQs) for Senior Analyst, Product Experimentation Role at NBCUniversal
What are the responsibilities of a Senior Analyst, Product Experimentation at NBCUniversal?

As a Senior Analyst, Product Experimentation at NBCUniversal, you will be responsible for driving A/B/N experiments that impact user acquisition, engagement, and retention strategies. You'll collaborate with Product and Marketing teams to design statistically sound experiments and provide actionable insights based on rigorous analysis. Additionally, you'll develop reporting dashboards that streamline the experimentation process and present findings to stakeholders.

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What qualifications are needed for the Senior Analyst, Product Experimentation role at NBCUniversal?

For the Senior Analyst, Product Experimentation position at NBCUniversal, candidates are expected to have a BS in statistics, mathematics, or related fields, along with a minimum of two years of experience in A/B testing, especially within digital media. Strong statistical skills, familiarity with A/B/N testing tools, and proficiency in programming languages for data analysis like Python or R are essential for this role.

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What tools does the Senior Analyst, Product Experimentation at NBCUniversal use?

The Senior Analyst, Product Experimentation at NBCUniversal utilizes a variety of tools essential for A/B/N testing, including Optimizely, Apptimize, and Adobe Target. Proficiency with programming languages like SQL and R, and digital analytics platforms such as Adobe Analytics or Google Analytics, are also pivotal in this role to drive data-driven results and optimizations.

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What is the work environment like for the Senior Analyst, Product Experimentation at NBCUniversal?

The work environment for a Senior Analyst, Product Experimentation at NBCUniversal is dynamic and collaborative. This hybrid position allows for flexibility, typically requiring a minimum of three days in-office per week. You'll work alongside a talented team of professionals, integrating insights from various departments to enhance the user experience on platforms like Peacock and NBC Sports.

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What career opportunities exist after working as a Senior Analyst, Product Experimentation at NBCUniversal?

Working as a Senior Analyst, Product Experimentation at NBCUniversal opens the door to several career advancement opportunities within the Decision Sciences team and beyond. You can grow into roles such as Senior Data Scientist, Product Manager, or even leadership positions within analytics, leveraging your experience to drive data strategy and executive decision-making.

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Common Interview Questions for Senior Analyst, Product Experimentation
Can you describe your experience with A/B testing?

In response, share specific examples of A/B tests you've conducted, detailing your role in designing, executing, and analyzing these tests. Highlight the tools you used, the insights you gained, and how your findings impacted product decisions.

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How do you determine statistical significance in your experiments?

Discuss your approach to calculating p-values, confidence intervals, and the importance of selecting appropriate sample sizes. Mention specific tests like t-tests or ANOVA that you’ve utilized to ensure your results are statistically valid.

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What do you consider when designing an experiment?

Outline the key factors, such as defining clear objectives, identifying key performance indicators (KPIs), ensuring robust control groups, and considering the potential impact on user experience. Providing an example of a well-structured experiment you designed could be beneficial.

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How do you handle conflicting results from A/B tests?

Explain your methodology for investigating unexpected results, which may include analyzing user segments, reviewing the tests for any biases, or considering external factors that could have influenced the outcome. Stress the importance of transparency and further testing.

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What programming languages are you proficient in, and how do you use them?

Discuss the programming languages you are comfortable with, such as SQL, Python, or R, and share specific examples of how you've utilized these tools for data analysis, reporting, and automation processes in your previous roles.

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Describe a time when you had to collaborate with cross-functional teams. What was your approach?

Share a relevant experience where you worked closely with product, engineering, or marketing teams. Emphasize your communication skills and how you ensured that all stakeholders were aligned and engaged throughout the experimentation process.

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How do you prioritize experiments in a fast-paced environment?

Explain your criteria for prioritization, which may include evaluating the potential impact on user experience, aligning with business goals, or assessing technical feasibility. Provide an example of how you successfully managed multiple experiments simultaneously.

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What analytics tools are you familiar with, and how have you used them?

List the analytics and visualization tools such as Tableau, Google Analytics, or Adobe Analytics you’ve used. Discuss specific projects where you leveraged these tools to generate insights and inform business decisions.

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What is your approach to managing unstructured data?

Discuss techniques you use to cleanse, structure, and analyze unstructured data in order to draw meaningful insights. Provide examples of tools or methodologies you've implemented to facilitate this process effectively.

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How do you ensure that your findings are communicated effectively to non-technical stakeholders?

Emphasize the importance of translating complex statistical concepts into simple, actionable insights. Mention the strategies you apply, such as using visual data representations and clear language, to ensure your findings resonate well with diverse audiences.

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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 13, 2025

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