Director, Marketing Analytics, Acquisition & Paid Media

Job Description:

Director, Marketing Analytics - Acquisition and Paid Media

Dow Jones, New York

About Dow Jones

Dow Jones is a global leader in business news and information, delivering trusted journalism and data to millions of consumers and organizations across print, digital, mobile, and live events. For over 130 years, our brands—including The Wall Street Journal, Barron's, MarketWatch, Factiva, OPIS, and Dow Jones Risk & Compliance—have been synonymous with authority, accuracy, and insight.

We continue to shape the future of information with advanced data analytics, world-class journalism, and innovative digital experiences.

About the Role

Reporting to the Vice President of Marketing Analytics & Planning, this role leads the Acquisition & Paid Media Analytics function for our consumer brands, including The Wall Street Journal, Barron's, and MarketWatch.

You will be the strategic analytics leader partnering with our Performance Marketing and Subscription Strategy teams to maximize marketing efficiency and digital subscription growth. The role would focus heavily on data and insights engine that informs where, how, and why we invest.

You will bring a strong grasp of marketing science, digital analytics, and experimentation to shape our acquisition playbook through evidence-based recommendations. Working across Marketing, Finance, and Data teams, you'll drive unified measurement frameworks, ROI modeling, and forecasting tools that power smarter, faster decisions at scale.

You Will:

1. Lead Data-Driven Acquisition Insights

• Partner with the Performance Marketing team to translate data into actionable guidance on audience targeting, channel mix, and offer performance.
• Deliver insights that enhance media efficiency, optimize funnel conversion, and elevate the overall impact of paid and owned channels.

2. Build the Measurement & Optimization Framework

• Develop and evolve the analytical backbone for acquisition—integrating MMM, attribution, and incrementality testing to understand true media contribution.
• Create visibility through advanced dashboards and scorecards linking spend, conversions, and LTV outcomes.

3. Shape Strategy Through Analytics Partnership

• Collaborate with the Subscription Strategy team to inform pricing, offer tests, and acquisition funnel design using quantitative evidence and experimentation results.
• Serve as a thought partner to senior marketing leaders, connecting data insights to broader business priorities.

4. Drive Experimentation and Continuous Improvement

• Champion a culture of test-and-learn across campaigns and channels.
• Design structured experiments to evaluate media, creative, and messaging impact using causal inference and matched-market methods.

5. Forecasting & Scenario Planning

• Partner with Finance and Marketing leadership to develop forecasts, budget sensitivity models, and ROI simulations to guide quarterly and annual investment planning.

6. Data Infrastructure & Automation Enablement

• Work with Data Engineering and MarTech to ensure reliable data pipelines, tagging infrastructure, and automation of marketing reporting and model refreshes.
• Advance dynamic and predictive models for ongoing optimization and pricing intelligence.

7. Executive Storytelling & Influence

• Synthesize complex analytical findings into clear, compelling narratives that shape marketing and investment decisions.
• Present insights and recommendations to senior leadership across Marketing, Finance, and the broader organization.

You Have:

• 12+ years of experience in marketing analytics or performance media optimization, ideally in subscription, e-commerce, or digital consumer businesses.
• Proven success in using data to drive acquisition growth and media efficiency across paid, owned, and organic channels.
• Strong proficiency in digital analytics platforms (Adobe Analytics, GA4), media measurement tools, and visualization suites (Tableau, Power BI, Looker).
• Experience applying media mix modeling (MMM), incrementality testing, and forecasting techniques to inform marketing strategy.
• Technical fluency in SQL, Python, or R for data manipulation, modeling, and automation.
• Strong grasp of customer segmentation, lifetime value analysis, and