Senior Manager, Data Science, B2B at Dow Jones | United States | Rezi

Senior Manager, Data Science, B2B at Dow Jones

Senior Manager, Data Science, B2B

Dow Jones · United States

1 weeks ago

Senior Manager, Data Science, B2B

Dow Jones · United States

11 days ago
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About the Role

Leads the evolution of Dow Jones’ B2B data science and analytics capabilities in support of our B2B business function. Drives data-driven strategies to optimize opportunity generation, accelerate revenue growth, improve acquisition, and enhance retention performance. Designs and implements advanced analytics frameworks and revenue measurement methodologies to inform capital allocation across demand generation, ABM, pricing, and customer lifecycle initiatives.

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

Requirements

  • The willingness to work in our Midtown Manhattan office 3 days each week
  • 9+ years of experience in marketing analytics and/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

Skills

  • Data Science
  • Analytics
  • Marketing Analytics
  • B2B Marketing
  • Data-driven strategies
  • Advanced analytics
  • Revenue measurement
  • Demand generation
  • Account-based marketing (ABM)
  • Pricing
  • Customer lifecycle initiatives
  • Propensity models
  • Attribution models
  • Market mix models
  • Customer segmentation models
  • Business planning
  • Forecasting
  • Optimization
  • Executive Reporting
  • Opportunity Analysis
  • BI tools (Looker, Tableau)
  • Customer journey insights
  • Data Story Telling
  • Data Infrastructure
  • Data Quality
  • Data Accessibility
  • Data Security
  • Data Science tools
  • Data Science platforms
  • Data Science technologies
  • Stakeholder Collaboration
  • Predictive modeling
  • Funnel analysis
  • CRM systems
  • Pipeline management
  • Python
  • R
  • SQL
  • Cloud-based data environments
  • Commercial acumen
  • Marketing automation platforms
  • Salesforce
  • Digital analytics tools

Location

  • Midtown Manhattan

Work Type

  • Hybrid

Experience Level

  • Senior
  • 9+ years

Education Level

  • Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines; or equivalent experience

Salary/Compensations

  • 140,000.00 - 160,000.00

Benefits

  • 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

About the Company

  • Dow Jones’ B2B data science and analytics capabilities
  • Dow Jones - Marketing
  • Data Analytics/Warehousing & Business Intelligence
  • We’re committed to offering competitive and flexible compensation to attract top talent.
  • For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
  • For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
  • We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
  • Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.