Manager, Analytics - Subscription and Product

About the role

Bloomberg Media empowers global business leaders with breaking news, expert opinion, and proprietary data distributed on every platform, across every time zone. Our teams are agile, dynamic, and innovative, working hard and fast while maintaining the quality and accuracy we're known for. Our culture is wide open, encouraging collaboration and community engagement.

The Global Data, Strategy & Insights (GDSI) team drives Bloomberg Media's business through data-backed decision making. As Manager of Analytics, you will lead strategic analytics projects, from development and analysis to presentation, working alongside key decision makers across the Media business. This role requires deep experience in subscription and digital product analytics, combining strategic thinking with hands-on technical skills.

You will partner closely with leaders across Subscriptions, Product, Marketing, and Editorial, as well as other business units including Commercial, Engineering, Research, Finance, and Strategy/Operations. This highly visible, cross-functional role demands technical expertise in SQL and Python, strong analytical storytelling, and the ability to influence product and business strategy.

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 understanding subscriber behavior, evaluating product performance, and identifying growth opportunities for 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 the Data Engineering team to provide high-quality data requirements for complex SQL or Python pipelines, ensuring a trusted source of truth for key Bloomberg metrics.
• Partner with Product, Subscriptions, Marketing, Data Engineering, and Finance teams to define KPIs, measurement frameworks, and performance reporting that connect customer and product behavior to business outcomes.
• Serve as a senior analytical resource for the GDSI team, providing technical and analytical guidance and helping unblock complex analytical challenges.
• Apply statistical methods, predictive modeling, experimentation, segmentation, and other advanced analytical techniques to solve complex subscription and product questions.
• Identify opportunities to leverage machine learning, predictive analytics, and automation to deepen understanding of subscriber behavior and improve decision making.
• Monitor industry standards, market shifts, competitive dynamics, and emerging subscription and digital product trends to inform and advance analytical capabilities.
• Identify new opportunities for leveraging data across Bloomberg’s subscription and product ecosystem.
• Translate ambiguous business questions into structured analytical approaches, clearly articulating hypotheses, methodology, findings, and recommended actions.
• Clearly, consistently, and broadly 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 similar.
• 5+ years of hands-on experience in analytics or related fields, with a strong focus on subscription, consumer, or digital product analytics.
• Demonstrated technical expertise with SQL and Python, including experience writing complex queries and building 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 tools such as Mode, Looker, Tableau, or similar platforms.
• Experience with B2C subscription products, including acquisition, conversion, engagement, retention, churn, lifecycle behavior, and payments.
• Strong experience with digital product analytics, including using behavioral data to understand customer journeys, product adoption, feature performance, and opportunities for growth.
• 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 strong partnerships across Product, Subscriptions, Marketing, Engineering, Finance, Editorial, and other cross-functional teams.

Pay

Salary Range: 70,000 - 95,000 USD Annual + Benefits + Bonus. The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training, and skill level.

Benefits

• Comprehensive and generous benefits plan including medical, dental, vision, short and long term disability benefits, and 401(k) with company match.
• Paid holidays and paid time off.
• Merit increases and incentive compensation (exempt roles only).
• Life insurance and various wellness programs.