Manager, Analytics - Subscription and Product

Details

Bloomberg Media is seeking a Manager of Analytics with deep experience in subscription and digital product analytics. This senior individual contributor will partner with leaders across Subscriptions, Product, Marketing, and Editorial, while supporting Commercial, Engineering, Research, Finance, and Strategy/Operations.

The role combines strategic thinking and hands-on technical skills, requiring expertise in SQL and Python, strong analytical storytelling, and the ability to influence product and business strategy. The successful candidate will independently lead complex analytical initiatives, shape measurement and analytics strategy, and serve as a trusted analytical partner across Bloomberg Media.

The role will also use advanced tools and methodologies, including machine learning, predictive analytics, and experimentation, to improve understanding of subscriber behavior and support business decision-making.

Responsibilities

• Perform advanced analysis across subscriber acquisition, conversion, engagement, retention, churn, lifecycle behavior, payments, product usage, content performance, and competitive performance.
• Lead complex, high-impact analytics projects focused on subscriber behavior, product performance, and opportunities to grow and strengthen Bloomberg Media’s subscription business.
• Partner with Product and Subscription teams to define analytical questions, evaluate customer journeys and product experiences, and translate findings into actionable recommendations.
• Collaborate with Data Engineering to provide high-quality data requirements for complex SQL or Python pipelines and ensure trusted sources of truth for key Bloomberg metrics.
• Define KPIs, measurement frameworks, and performance reporting with Product, Subscriptions, Marketing, Data Engineering, and Finance teams.
• Serve as a senior analytical resource for the GDSI team by providing technical and analytical guidance and helping resolve complex analytical challenges.
• Apply statistical methods, predictive modeling, experimentation, segmentation, and other advanced analytical techniques.
• Identify opportunities to use machine learning, predictive analytics, and automation to improve understanding of subscriber behavior and decision-making.
• Monitor industry standards, market shifts, competitive dynamics, and emerging subscription and digital product trends.
• Identify new opportunities for leveraging data across Bloomberg’s subscription and product ecosystem.
• Translate ambiguous business questions into structured analytical approaches, clearly communicating hypotheses, methodology, findings, and recommended actions.
• Communicate insights that inform subscription strategy, product vision, priorities, goals, and impact to leadership and across the organization.

Requirements

• Bachelor’s or Master’s degree in a research-related or quantitative field such as computer science, statistics, mathematics, economics, or a similar discipline.
• 5+ years of hands-on experience in analytics or related fields, with a strong focus on subscription, consumer, or digital product analytics.
• Technical expertise with SQL and Python, including complex queries and scalable analysis pipelines.
• Familiarity with large-scale data platforms and data management or digital analytics tools such as BigQuery, Google Analytics, or similar technologies.
• Strong data visualization and analytical storytelling skills using Mode, Looker, Tableau, or similar platforms.
• Experience with B2C subscription products, including acquisition, conversion, engagement, retention, churn, lifecycle behavior, and payments.
• Strong digital product analytics experience, including behavioral analysis of customer journeys, product adoption, feature performance, and growth opportunities.
• Strong background in statistics and advanced analytics, including predictive modeling, experimentation, segmentation, or related methods.
• Ability to independently own complex analytical initiatives from problem definition and methodology through analysis, recommendations, and communication.
• Ability to break down complex and ambiguous problems into structured, step-by-step analytical solutions.
• Highly effective communication and collaboration skills, with the ability to influence senior stakeholders and build partnerships across Product, Subscriptions, Marketing, Engineering, Finance, Editorial, and other cross-functional teams.

Benefits

Salary range: $70,000–$95,000 USD annually, plus benefits and bonus. Actual compensation may vary based on geographic location, work experience, market conditions, education or training, and skill level.

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) match, life insurance, and wellness programs.