Manager, Analytics - Subscription and Product

Bloomberg; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Bloomberg seeks a Manager of Analytics for Bloomberg Media's GDSI team in New York. You will lead analytics initiatives around subscription and digital product data, shaping measurement, strategy, and actionable insights for leadership and cross-functional partners.

As a senior contributor, you will own complex analyses, develop predictive models, guide KPI frameworks, and partner with Product, Marketing, Engineering, and Editorial to drive growth and optimize the subscriber journey.

Qualifications

• 5+ years of hands-on analytics, focused on subscriptions or digital products.
• Strong SQL and Python; able to build scalable pipelines.
• Experience with BigQuery or similar data platforms.
• Excellent data visualization and storytelling with Mode/Looker/Tableau.
• Experience with B2C subscription products and metrics like acquisition, retention.
• Ability to own complex analytics from problem to recommendations and communicate insights.

Responsibilities

• Perform advanced analysis across subscriber acquisition, engagement, retention, churn, and payments.
• Lead analytics projects to understand subscriber behavior and product performance.
• Partner with Product and Subscription teams to define questions and translate findings into actionable recommendations.
• Collaborate with Data Engineering to define data requirements for pipelines.
• Define KPIs and reporting that connect customer behavior to business outcomes.
• Communicate insights to leadership and across the organization.

Skills

SQL

Python

BigQuery

Google Analytics

Data visualization

Mode

Looker

Tableau

Subscription analytics

Product analytics

Experimentation

Education

Bachelor’s or Master’s degree in quantitative field

Tools

BigQuery

Google Analytics

Mode

Looker

Tableau

Job description

Smarter, Faster, and as always - First. That's our philosophy. Bloomberg Media empowers global business leaders with breaking news, expert opinion, and proprietary data distributed on every platform, across every time zone. Like our products and solutions, our teams are agile, dynamic, and innovative. We work hard, and we work fast — while keeping up the quality and accuracy for which we're known. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We challenge each other. And through our countless volunteer projects, we help bring out the best in our communities around us, too. You can do amazing work here. Work you couldn’t do anywhere else. It’s up to you to make it happen.

Bloomberg runs on data, and data drives the market. Our GDSI team is an integral part of driving our business through data-backed decision making for Bloomberg Media. Individuals on the team lead strategic analytics projects, from development and analysis to presentation, working alongside key decision makers across the Media business.

The GDSI team is looking for a Manager of Analytics with deep experience in subscription and digital product analytics, who can bring both strategic thinking and hands‑on technical skills. You will partner closely with leaders across Subscriptions, Product, Marketing, and Editorial, while supporting additional business units including Commercial, Engineering, Research, Finance, and Strategy/Operations.

This highly visible, cross‑functional role will require technical expertise in SQL and Python, strong analytical storytelling, and the ability to influence product and business strategy. As a senior individual contributor, you will independently lead complex analytical initiatives, help shape measurement and analytics strategy, and serve as a trusted analytical partner to stakeholders across Bloomberg Media.

This role will also optimize the use of advanced tools and methodologies such as machine learning, predictive analytics, and experimentation, helping us stay competitive by leveraging the latest analytical techniques. Think of this role as part strategist, part executioner, part business insights partner, and part data architect.

We’ll trust you to:

• 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 opportunities to grow and strengthen Bloomberg Media’s subscription business.
• Partner closely with Product and Subscription teams to define analytical questions, evaluate customer journeys and product experiences, and translate findings into actionable product and business 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 our 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 our 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.

You’ll need to have:

• 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.