Senior Manager, B2B Marketing Analytics

Senior Manager, B2B Analytics

Dow Jones, New York

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest news‑gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation;
Barron’s, Market Watch, Investor’s Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

Reporting to the Vice President of B2B Marketing Data Science, this role will lead the evolution of Dow Jones’ B2B data science and analytics capabilities in support of our B2B business function. This position is responsible for driving data‑driven strategies that optimize opportunity generation, accelerate revenue growth, improve acquisition, and enhance retention performance.

The Senior Manager will design and implement advanced analytics frameworks, robust revenue measurement methodologies that inform capital allocation across demand generation, account‑based marketing, pricing, and customer lifecycle initiatives.

• Strategic Leadership: Develop and execute analytics projects driving key insights that drive pipeline growth and revenue.
• Build Capabilities and Drive Insights: Support development of propensity models, attribution models, market mix models and customer segmentation models to drive insights that facilitate business planning, forecasting and optimization.
• Executive Reporting and Opportunity Analysis: Develop executive level reports in BI tools (Looker, Tableau) to develop E2E customer journey insights and identify opportunity areas to drive future growth.
• Data Story Telling: Articulate clear, actionable insights derived from model results and effectively communicate complex technical concepts to a non‑technical audience.
• Data Infrastructure and Technology: Collaborate with data engineering teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security. Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data‑driven marketing.
• Stakeholder
  
  Collaboration:
  
  Engage proactively with cross‑functional teams, including marketing, sales, product development, and finance, to comprehend their specific business requirements and translate them into effective, data‑driven solutions.

• 9+ years of experience in marketing analytics, or data science.
• Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines; or equivalent experience.
• Experience supporting B2B or enterprise go‑to‑market models, ideally within media, information services, SaaS, or subscription‑based businesses.
• Strong expertise in advanced analytics, predictive modeling, forecasting, and funnel analysis.
• Understanding of B2B marketing and sales funnels, account‑based marketing (ABM), CRM systems, and pipeline management.
• Proficiency in BI tools, Python, R, SQL, and experience working with large‑scale, cloud‑based data environments.
• Strong commercial acumen and ability to communicate complex analytics to non‑technical, executive stakeholders.
• Proven ability to influence strategic decisions through data‑driven insights.
• Familiarity with marketing automation platforms, CRM platforms (e.g. Salesforce), and digital analytics tools is a plus.

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Insurance Plans
• Lifestyle programs & Wellness Resources
• Education Benefits
• Family Care Benefits & Caregiving Support
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program

Learn more about all our US benefits.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national…