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New York, New York, United States
Onsite
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 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.
Business Area:
Dow Jones - MarketingJob Category:
Data Analytics/Warehousing & Business IntelligenceUnion 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.