Manager, Data Analytics & Forecasting

About the Role Manager, Consumer Data Analytics & Forecasting – Dow Jones – New York, NY Job ID 52796 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. The role focuses on turning complex data into clear, actionable strategies that drive measurable revenue growth, profitability, and customer lifetime value. You will partner with marketing, product, and finance to define key questions, design robust analyses and tests, and translate findings into decisions that impact core KPIs. Comfortable working across large, messy datasets and modern analytics stacks, you have 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: connect 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: distill complex analyses into simple narratives and visuals that influence senior stakeholders and drive decisions. Roadmapping & prioritization: build clear analytics roadmaps aligned to business priorities. Team leadership: coach analysts, set standards for quality and speed, and create 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. 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 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. Reasonable Accommodation – We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at View email address on click.appcast.io. 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. #J-18808-Ljbffr