Sr. Analyst, Commerce & Growth Product Analytics

About the position

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

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 the Commerce Product & Growth teams, deriving insights that drive impact for the business.
• Work within large datasets to interpret trends and turn those into sound recommendations.
• Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making.
• Partner with Data Engineering teams to identify and enhance data sources.
• Prepare and inform material for senior level executive presentations.
• Leverage data visualization tools like Tableau to curate reporting for cross-functional teams.

Requirements

• 4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, dbt, Github, 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.
• Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
• Advanced SQL skills for analytics and data analysis (Python or R).
• Experience performing analysis with large time series datasets.
• Experience in defining data collection and measurement requirements.

Nice-to-haves

• Curious and passionate about democratizing data access and scalability; you operate with a bias for informed action.
• 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.

Benefits

• Medical, dental and vision insurance
• 401(k)
• Paid leave
• Tuition reimbursement
• A variety of other discounts and perks