Analytics Manager - Subscriptions & Product Growth

Bloomberg L.P.; New York (NY); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

Benefits package

401(k) match

Paid holidays

Job summary

Bloomberg L.P. is seeking a Manager of Analytics for Subscription and Product in New York. You will drive advanced analytics across subscriber metrics, partnering with Product, Marketing, and Editorial to shape measurement and strategy.

The role requires deep SQL and Python expertise, experience with digital product analytics, and the ability to influence senior stakeholders with data-driven storytelling.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as CS, statistics, economics, or similar.
• 5+ years of hands-on analytics experience with a focus on subscription/digital products.
• Strong SQL and Python skills with experience building scalable analysis pipelines.
• Familiarity with large-scale data platforms and analytics tools.
• Excellent data visualization and storytelling abilities using industry tools.

Responsibilities

• Lead analytics projects across subscriber acquisition, engagement, retention, churn, and payments.
• Partner with Product, Subscriptions, Marketing, and Engineering to define metrics and actions.
• Translate complex questions into structured analytical approaches with clear hypotheses.
• Collaborate with Data Engineering to ensure reliable data pipelines and metrics.
• Communicate insights to leadership and cross-functional teams to inform strategy.
• Apply predictive analytics, experimentation, and segmentation to drive growth.

Skills

SQL

Python

BigQuery

Google Analytics

Mode

Looker

Tableau

Data storytelling

subscription analytics

Education

Bachelor's or Master’s degree in quantitative field

Tools

BigQuery

Google Analytics

Mode

Looker

Tableau

Job description

Bloomberg L.P. is seeking a Manager of Analytics for Subscription and Product in New York. You will drive advanced analytics across subscriber metrics, partnering with Product, Marketing, and Editorial to shape measurement and strategy.

The role requires deep SQL and Python expertise, experience with digital product analytics, and the ability to influence senior stakeholders with data-driven storytelling.