Senior Manager, B2B Marketing Analytics

Dow Jones•New York, NY

23h

About The Position

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.

Requirements

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

Nice To Haves

Familiarity with marketing automation platforms, CRM platforms (e.g Salesforce), and digital analytics tools is a plus

Responsibilities

Develop and execute analytics projects driving key insights that drive pipeline growth and revenue
Support development of propensity models, attribution models, market mix models and customer segmentation models to drive insights that facilitate business planning, forecasting and optimization
Develop executive level reports in BI tools (Looker , Tableau) to develop E2E customer journey insights and identify opportunity areas to drive future growth
Articulate clear, actionable insights derived from model results and effectively communicate complex technical concepts to a non-technical audience
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
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