Senior Analyst, People Insights

Our People Insights team is seeking a London-based Senior Analyst, People Insights, reporting to the Sr. Manager, People Insights. This role sits at the intersection of quantitative modeling and data storytelling, critical to expanding our analytical depth across our global workforce.

You will serve as the regional point of contact for HR functions across EMEA & APAC and act as the team’s primary quantitative modeler, equally comfortable building models as you are presenting regression outputs to leadership. This is a unique opportunity to apply data to complex business challenges, from attrition prediction to workforce scenario modeling. We are looking for a candidate who combines deep quantitative and stakeholder management skills with a strong foundation in People systems and data processes.

You Will

• Partner with EMEA & APAC HR and business leaders to translate complex workforce challenges into actionable, hypothesis-driven analytical projects.
• Design, build and validate predictive statistical models (e.g., attrition, headcount, talent forecasting) to drive strategy.
• Translate complex quantitative outputs into clear, compelling narratives tailored for non-technical stakeholders.
• Partner with the People team to identify process optimization opportunities through data-driven recommendations.
• Maintain high data integrity via regular audits while ensuring ethical, transparent handling of sensitive information in compliance with GDPR and local regulations.
• Support regional compliance by extracting, cleaning and validating workforce datasets under tight deadlines.
• Proactively evolve our analytics capabilities by identifying improved methods, tools and emerging AI solutions to strengthen the people analytics function.

You Have

• Demonstrable experience in People Analytics or HR Data Science in a consultative/technical capacity.
• Proficiency in SQL, Tableau, Excel, or similar data visualization and manipulation tools.
• Strong expertise in advanced analytics and statistical modeling.
• Working knowledge of HRIS platforms such as Workday, SuccessFactors or Oracle, as well as a solid understanding of core HR processes and People data.
• Ability to translate technical data into clear, actionable advice.

Preferred

• Experience with ETL tools (e.g., Alteryx) and automating analytics pipelines.
• Interest in leveraging AI to optimize and automate HR analytics.

Benefits

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Insurance Plans
• Education Benefits
• Family Care Benefits
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program

Visa Sponsorship

Dow Jones does not provide visa sponsorship for this position. Applicants must have the legal right to work in the UK at the time of application and must be able to maintain that right for the duration of their employment without requiring visa sponsorship from Dow Jones.

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

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Business Area

Dow Jones - People

Job Category

Data Analytics/Warehousing & Business Intelligence

Union Status

Non-Union role

About Dow Jones

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest newsgathering operations globally.

It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

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