Senior Analyst of People Insights

Dow Jones; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Parental leave 20 weeks

Caregiver leave 4 weeks

Remote work up to 4 weeks/year

Volunteer day

Headspace

ClassPass

Well-being rewards

Descripción de la vacante

Dow Jones is seeking a London-based Senior Analyst in People Insights to lead quantitative modeling and data storytelling across EMEA and APAC. You will partner with HR leaders to translate workforce challenges into actionable analytics projects and present results to senior stakeholders.

The role focuses on building predictive models, ensuring data integrity, and driving data-driven decisions that improve talent strategies across the global workforce.

Formación

• Proficiency in SQL, Tableau and Excel.
• Strong analytics and statistical modeling skills.
• Experience in People Analytics or HR Data Science.
• Familiarity with HRIS platforms and ETL tools.

Responsabilidades

• Serve as regional quantitative modeler for EMEA & APAC HR functions.
• Design, build and validate predictive models for attrition, headcount and forecasting.
• Translate complex outputs into clear narratives for leadership.

Conocimientos

SQL

Tableau

Excel

Data storytelling

Statistical modeling

People Analytics

HR Data Science

AI in analytics

Herramientas

Workday

SuccessFactors

Oracle HRIS

Alteryx

Descripción del empleo

• 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
• 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

Benefits

• 20 weeks of parental leave
• 4 weeks of paid caregiver leave
• Up to 4 weeks of remote work per year
• 1 paid volunteer day annually
• $700 caregiver reimbursement
• Headspace emotional wellness membership
• ClassPass fitness and wellness membership
• Financial rewards for well-being activities

Proficiency in SQL, Tableau, Excel, or similar data visualization and manipulation toolsAbility to translate technical data into clear, actionable adviceStrong expertise in advanced analytics and statistical modelingDemonstrable experience in People Analytics or HR Data Science in a consultative/technical capacityWorking knowledge of HRIS platforms such as Workday, SuccessFactors or Oracle, as well as a solid understanding of core HR processes and People dataExperience with ETL tools (e.g., Alteryx) and automating analytics pipelinesInterest in leveraging AI to optimize and automate HR analytics