People Analytics Manager (m/f/d)

The Stepstone Group; Düsseldorf; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Company pension scheme

Life Assurance Cover

Volunteering days

Job bike

Discounted parking or job ticket

Discounted WellHub membership

In-house gym

In-house barista

Bring your dog to the office

Job summary

The Stepstone Group is reshaping the labour market by delivering workforce insights and AI-powered analytics to support people strategy across our global footprint.

As part of the People Analytics team, you will partner with People Partners and senior stakeholders to enhance workforce planning, data quality, and organizational effectiveness, while driving scalable reporting solutions and data governance.

Qualifications

• Experience in People Analytics or related analytic fields with strong statistical skills.
• Interest in AI and emerging technologies to improve organisational outcomes.
• Ability to translate data into actionable recommendations for senior stakeholders.
• Understanding of data governance, privacy and responsible AI; familiarity with BI tools.
• Familiarity with HR systems, ideally Workday; strong collaboration across teams.

Responsibilities

• Analyse workforce trends across hiring, retention, engagement and performance.
• Develop KPI definitions, reporting standards and governance; create dashboards.
• Advise senior leaders on workforce trends and people strategy with evidence-based insights.
• Improve data quality and governance; promote responsible use of data and AI.
• Drive self-service analytics adoption and broaden access to trusted insights.

Skills

People Analytics

Workforce Analytics

Business Analytics

AI interest

Data storytelling

Tools

Power BI

R

Workday

Job description

Company Description

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.

Job Description

Join our team and you’ll be responsible for delivering workforce insights and driving data-driven decision-making through advanced analytics, AI and scalable reporting solutions.

Working in the People Analytics department, you will partner with People Partners and senior stakeholders to improve workforce planning, data quality and organisational effectiveness.

You will play a vital role as we reimagine the labour market to make it work for everybody.

Your responsibilities:

• Advanced Analytics, AI & Insights: Analyse workforce trends across hiring, retention, engagement, performance and organisational effectiveness. Apply statistical, predictive and scenario-based methods, leverage AI, evaluate People initiatives and identify opportunities to improve workforce outcomes and planning.
• People Reporting & KPI Governance: Develop KPI definitions, reporting standards and governance. Maintain a single source of truth, define requirements for dashboards and data products, ensure consistent metrics and methodologies, and partner with People Applications on scalable reporting solutions.
• Stakeholder Partnership & Consulting: Together with our People Partners advise senior leaders on workforce trends, organisational health and people strategy. Translate complex analyses into actionable recommendations, challenge assumptions, promote evidence-based decisions and prioritise high‑value analytical opportunities.
• Data Governance & Quality: Improve People data quality and integrity with process owners and the wider People Team. Define governance requirements, ensure responsible, ethical and compliant use of People data and AI, and promote data literacy and analytical best practices.
• Self‑Service Analytics & Capability Building: Drive self‑service analytics adoption, improve access to trusted workforce insights, monitor dashboard usage and identify improvements. Strengthen analytics capabilities and data‑driven decision‑making across the organisation.

Qualifications

• Experience in People Analytics, Workforce Analytics, Business Analytics or a related field, with strong analytical skills and experience applying statistical and advanced analytical methods.
• Interest in AI and emerging technologies, combined with curiosity, commercial awareness and a passion for improving organisational outcomes through data.
• Ability to translate complex data into compelling insights and actionable recommendations, influence senior stakeholders and promote evidence‑based decision‑making.
• Understanding of data governance, data quality, privacy and responsible AI, alongside experience with visualisation tools such as Power BI, R or similar technologies.
• Familiarity with HR systems and People data ecosystems, ideally Workday, and strong collaboration skills to build trusted relationships across People teams and the wider business.

Additional Information

We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it.

• 30 days of holidays + 1 Cultural Heritage Day + 2 extra days for Christmas and New Year's Eve
• Hybrid working model
• Company pension scheme
• Life Assurance Cover
• Volunteering days
• Job bike
• Discounted parking or job ticket
• Discounted WellHubmembership
• In‑house gym
• In‑house barista
• And you can bring your dog to the office!

Our commitment

Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.