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Nbcuniversal3
Analytics Engineer

Lead, Commerce & Growth Product Analytics

On-siteSeniorAnalytics EngineerJust posted
✦Role summaryAI-generated

Lead the Commerce & Growth Product Analytics team to drive acquisition improvements through data‑driven experimentation and AI‑powered self‑service solutions. Collaborate cross‑functionally to align on performance metrics and execute a roadmap that optimizes product experiences.

Skills required

About this role

The Product Analytics & Experimentation team supports a data-driven, results-focused product organization. We are looking for a Lead who thrives at the intersection of product analytics, data science, product development, and business strategy, who will bring a strong combination of technical expertise, analytical rigor, and product background.

Responsibilities

  • Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective perspective that aligns cross-functional teams on performance against key goals.

  • Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams, ensuring insights drive meaningful improvements.

  • Leverage AI tools to streamline workflows and build scalable self-service solutions for stakeholders

  • Develop and maintain reliable, high-performance data pipelines in Databricks in collaboration with Data Engineering.

  • Foster a culture of inclusion, empathy, analytical rigor, and teamwork, while driving the company's success.

Qualifications

  • Bachelor’s degree in a quantitative discipline or equivalent professional experience

  • 4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, etc.)

  • 4+ years of applied experience in acquisition, subscriptions, direct to consumer or media entertainment. Familiarity with data challenges specific to subscription and user behavior analytics.

  • Experience using AI-enabled tools to streamline work, solve problems, or create efficiencies

  • Experience performing analysis with large time series datasets.

  • Experience in defining data collection and measurement requirements.

Desired Characteristics

  • Prioritizes accuracy and quality, ensuring reliable, error-free results.

  • Possess a growth mindset and see failure as a necessary step towards advancing learning of yourself and those around you.

  • Collaborative and skilled in working across teams to align insights and technical solutions with business objectives.

Additional Requirements

  • Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.
  • 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: $125,000 - $165,000 (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.

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 AccessibilitySupport@nbcuni.com.

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