Head of Consumer Data Analytics & Forecasting

Dow Jones; New York (NY); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Healthcare plans

Paid time off

Retirement plans

Comprehensive benefits

Education benefits

Job summary

Dow Jones in New York seeks a Manager, Consumer Data Analytics & Forecasting to lead data-driven insights that drive revenue growth and customer lifetime value. You will collaborate with marketing, product, and finance to design robust analyses and experiments, translate findings into decisions, and build scalable reporting and forecasting frameworks.

The role emphasizes leadership of a data team, KPI-focused storytelling, and roadmap-driven analytics across channels.

Qualifications

• Strong foundation in statistics, experimentation, and marketing analytics.
• Experience turning data into actionable strategies that drive revenue growth and CLV.
• Proven ability to partner with marketing, product, and finance to define questions and tests.

Responsibilities

• Revenue-focused analytics: link data work to conversions, retention, ARPU, CLV, ROAS.
• Statistical rigor: hypothesis testing, experiment design, regression, segmentation, forecasting, causal inference.
• Subscription & growth analytics: measure/optimize campaigns, funnels, pricing, personalization.
• Storytelling with data: translate analyses into narratives for senior stakeholders.
• Roadmapping & prioritization: create analytics roadmaps aligned to priorities.
• Team leadership: coach analysts, set quality standards, foster curiosity and impact.

Skills

Statistics & experimentation

Marketing analytics

Leadership & coaching

Communication to stakeholders

Problem solving

Education

Bachelor's/Master’s in Economics/Statistics/Analytics

Tools

Python

R

SQL

Excel

Job description

Dow Jones in New York seeks a Manager, Consumer Data Analytics & Forecasting to lead data-driven insights that drive revenue growth and customer lifetime value. You will collaborate with marketing, product, and finance to design robust analyses and experiments, translate findings into decisions, and build scalable reporting and forecasting frameworks.

The role emphasizes leadership of a data team, KPI-focused storytelling, and roadmap-driven analytics across channels.