Manager, People Analytics

Accountabilities

• Lead and mentor a multidisciplinary product squad comprising People Data Scientists, Software Engineers, and UX Designers.


• Own the development of people analytics products that transform workforce data into strategic insights and practical business outcomes.


• Bridge people science, business requirements, and software engineering by translating human and organizational objectives into clear technical and research priorities.


• Move beyond descriptive reporting toward predictive and prescriptive analytics, including identifying patterns and signals that can inform workforce decisions.


• Translate complex data models, research findings, and analytical outputs into clear, compelling narratives for business leaders and managers.


• Guide the development of AI-powered tools and agents capable of surfacing relevant workforce insights in a timely and accessible way.


• Establish and maintain strong data stewardship practices, ensuring that People data is secure, reliable, privacy-conscious, and compliant with applicable requirements such as GDPR.


• Help develop a trusted People Data ecosystem that provides consistent, high-quality information across People-related products and services.


• Identify opportunities to use technology and automation to improve workplace effectiveness while creating more capacity for high-value human interactions.


• Build and execute strategic roadmaps, ensuring teams are aligned, supported, and able to deliver high-quality outcomes.


• Promote data literacy, responsible data use, experimentation, and continuous improvement across the wider organization.

• Academic background in data science, mathematics, engineering, or another quantitatively focused discipline, with strong foundations in statistics and analytical methods.


• Demonstrated experience with data science, data wrangling, databases, SQL, software engineering, or related technical disciplines.


• Strong coding or scripting capabilities in languages such as Python, R, JavaScript, or comparable technologies.


• Experience with data visualization and analytics platforms such as Superset, Tableau, or similar tools.


• Ability to translate ambiguous business questions into clearly defined research objectives and select appropriate analytical or research methodologies.


• Proven ability to synthesize complex findings and communicate them effectively to technical and non-technical audiences.


• Demonstrated leadership experience, including managing, mentoring, coaching, and motivating multidisciplinary technical professionals.


• Strong product mindset and the ability to develop and execute well-structured roadmaps.


• Curiosity, adaptability, resilience, and willingness to challenge established approaches and explore new technologies.


• Strong interest in AI, data platforms, automation, and open-source technologies.


• Excellent written and spoken English with strong communication and presentation skills.


• High standards for precision, reliability, accessibility, collaboration, and quality.


• Strong personal accountability, self-motivation, and commitment to delivering meaningful outcomes.


• Experience with dbt, Airbyte, Ranger, Superset, Temporal, or Trino is an advantage.


• Familiarity with Docker, Kubernetes, agentic engineering, product management, or UX and design is a plus.


• Willingness to travel internationally approximately 2–4 times per year for company events lasting up to two weeks.

• Remote-first working environment for professionals based in the Americas or EMEA.


• Compensation determined according to geographic location, experience, and performance.


• Performance-driven annual bonus or commission in addition to base compensation.


• Bi-annual compensation reviews.


• Personal learning and development budget of USD 2,000 per year.


• Company recognition and rewards programs.


• 40 days of annual leave per year, including public holidays and company-wide holiday periods.


• Maternity and paternity leave.


• Team Member Assistance Program and wellness platform.


• Twice-yearly in-person team sprints and opportunities to collaborate with colleagues internationally.


• Opportunities to travel to new locations for company events and meet distributed colleagues.


• Priority Pass lounge access for eligible travel.


• Inclusive working environment with support for reasonable travel accommodations where required.

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