Manager, Data Analytics & Forecasting

Job Description:

Manager, Consumer Data Analytics & Forecasting

Dow Jones New York, NY   Job ID   52796

     

About the Role:

The Dow Jones Data Science team is looking for a Data-driven Analytics & Insights Manager with a strong foundation in statistics, experimentation, and marketing analytics, known for turning complex data into clear, actionable strategies that drive measurable revenue growth, profitability, and customer lifetime value. Expert at partnering with marketing, product, and finance to define the right questions, design robust analyses and tests, and translate findings into decisions that move key KPIs. Comfortable working across large, messy datasets and modern analytics stacks, with a track record of building scalable reporting, forecasting, and insight frameworks that improve decision quality at all levels of the organization

You Will:

• Revenue-focused analytics: Connects data work directly to business outcomes → conversion, retention, ARPU, CLV, ROAS, payback

• Statistical rigor: Hands-on with hypothesis testing, experiment design, regression, segmentation, forecasting, and causal inference concepts.

• Subscription & growth analytics: Deep experience measuring and optimizing campaigns, business strategies, funnels, pricing, and personalization across channels.

• Storytelling with data: Distills complex analyses into simple narratives and visuals that influence senior stakeholders and drive decisions.

• Roadmapping & prioritization: Builds clear analytics roadmaps aligned to business priorities 

• Team leadership: Coaches analysts, sets standards for quality and speed, and creates a culture of curiosity and impact.

You Have:

• Bachelor's or Master’s degree in Economics, Finance, Data Science, Marketing Analytics, or equivalent experience.

• 7-10 years of experience in Marketing Analytics focused on the Media Industry

• Advanced proficiency in statistics and experimentation (A/B testing, hypothesis testing, regression, segmentation, forecasting, causal inference) to support confident decision-making.

• Hands-on experience building KPI frameworks, measuring success of business strategies , scalable dashboards and forecasting models that improve visibility into performance and enable proactive course correction.

• Advanced proficiency in Python, R , SQL, Excel, and other statistical tools 

• Strong communication skills, including experience presenting to senior stakeholders

• Ability to work under tight deadlines

Our 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

• Financial Health Programs

• Cybersecurity Protection

Learn more about all our US benefits

Equal Opportunity Employer

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

Reasonable Accommodation

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 [email protected]. 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.

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Business Area:

Dow Jones - Marketing

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Base Pay Range: 110,000.00 - 140,000.00

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

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.