Manager, People Analytics
New
J
JobgetherPeople Analytics
Remote-first working environment for professionals based in the Americas or EMEA.Full-TimeManager
SalaryCompensation determined according to geographic location, experience, and performance.
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Required Skills
- PythonSQLArtificial IntelligenceJavascriptProduct ManagementTableauData scienceData visualizationR
Requirements
- 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.
- Willingness to travel internationally approximately 2–4 times per year for company events lasting up to two weeks.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
