Senior Lead, People Analytics

ON.com LLC; Zürich; Vor Ort; CHF 150.000 - 190.000; Vollzeit

Zusammenfassung

On is seeking a Senior Lead, People Analytics to architect and own the data platform that powers our global HR analytics. You will build data pipelines, a governed semantic layer, and an AI-enabled analytics workflow, partnering with data scientists to advance statistical modeling and predictive insights.

You will deliver dashboards and reports on headcount, talent acquisition, engagement, and attrition, while ensuring data governance and presenting data-driven recommendations to HR and business

Qualifikationen

• 7+ years of experience in People Analytics or related data science field.
• Strong data engineering skills: pipelines, data models, governed semantic layer.
• Proficiency in R, Python, SQL, and Excel for analysis and modeling.
• Experience with a modern BI tool (Looker, Power BI, or similar).
• Familiarity with HRIS platforms and reporting modules is a plus.
• Interest in AI and agentic workflows for HR analytics.

Aufgaben

• Own the data engineering backbone of the People Analytics Platform, ensuring governed, reliable data.
• Build and maintain the semantic/metric layer as a single source of truth across dashboards and reports.
• Support AI and agentic layer development, embedding LLM-assisted workflows into HR analysis.
• Collaborate with data scientists to apply regression, clustering, and causal inference.
• Develop dashboards and analyses on employee lifecycle metrics like headcount, recruiting, engagement, and attrition.
• Translate business requirements into technical solutions and high-impact analytics projects.
• Ensure data governance and integrity across HR systems.
• Create compelling data-driven stories and presentations for stakeholders.

Kenntnisse

Data engineering

Data modeling

SQL

Python

R

Excel

Looker/Power BI

Snowflake

Databricks

BigQuery

Stakeholder management

Tools

Snowflake

Databricks

One Model

BigQuery

Jobbeschreibung

As the Senior Lead, People Analytics, you will be the architect of our new People Analytics platform and a strategic partner for our global people agenda. Reporting to the Head of People Analytics and as part of the People Analytics team, you will empower the organisation with data-driven insights, build the data pipelines and platform the whole team runs on, push our statistical and predictive modeling further, and champion the next frontier of AI and agentic automation to unlock human potential at On.

Your Mission

• Own the data engineering backbone of our People Analytics Platform: pipelines, data modeling, and orchestration, so the rest of the team's dashboards and analyses sit on governed, reliable data.
• Build and maintain the semantic/metric layer as the single source of truth, ensuring definitions are consistent across every dashboard and report.
• Support the build-out of our AI and agentic layer: from an internal AI co-pilot to embedding LLM-assisted workflows into the HR team's day-to-day analysis and reporting.
• Partner closely with our data scientist to strengthen our statistical and predictive modeling bench applying regression, clustering, and causal inference techniques to separate correlation from real impact.
• Develop and deliver insightful dashboards, reports, and analyses on the full employee lifecycle and key HR metrics, including headcount, talent acquisition, employee engagement, and attrition.
• Act as a technical subject matter expert for People Analytics, providing guidance and support to HR and business leaders. Collaborate with stakeholders to translate business requirements into technical solutions and high-impact analytical projects.
• Ensure Data Governance and integrity across all our HR systems.
• Storytelling & Influence: Develop and deliver compelling, data-driven stories and presentations that effectively communicate insights and recommendations.

Your story

• You bring 7+ years of experience in People Analytics or a related data science field, with a deep understanding of HR data and metrics.
• You have strong data engineering skills: building and maintaining pipelines, data models, and a governed semantic layer using tools such as Snowflake, Databricks, One Model, or BigQuery.
• You have strong technical skills in R, Python, SQL, and Excel for data analysis and modeling, plus a modern BI tool (Looker, Power BI, or similar).
• You possess a strong, hands‑on understanding of statistical analysis and modeling techniques (regression, clustering) and ideally causal inference methods that go beyond correlation.
• Prior familiarity with HRIS platforms (e.g., Workday, SAP HR, SuccessFactors, Oracle HCM) and their reporting modules (e.g. Prism,...) is a strong plus, though not a strict requirement.
• You are genuinely energized by AI: comfortable or willing to learn building agentic workflows and AI-assisted tooling, not just prompting for one-off answers.
• You have excellent communication and stakeholder management skills, with the ability to translate complex data into clear and actionable insights.

Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail.

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well‑being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.