People Analytics Associate | Global Team | Nairobi (Re-Advertisement) at Sistema Biobolsa

The People Analytics Associate, will play a pivotal role in delivering data-driven insights that shape Sistema.bio's people strategy. The role involves collaborating with People and Finance leaders across regions, and harnessing the power of workforce data to optimize HR processes, drive operational efficiency, and inform strategic decision-making.
You’ll be in charge of:

• Analyzing People data and presenting insights to HR leaders and stakeholders in clear, actionable formats.
• Providing data-driven recommendations to improve HR practices, including recruitment, performance management, and employee engagement initiatives.
• Identifying patterns in data, addressing gaps in people reporting, and ensuring source data accuracy through new reports and analyses.
• Ensuring strict compliance with data protection laws and organizational policies in managing HR data.
• Continuously refining data collection, analysis, and reporting practices, and implementing new tools or methodologies as needed.
• Supporting key projects like annual compensation and benefits reporting, end-of-year performance reviews, and workforce planning through data analysis.
• Leading the design, implementation, and analysis of employee engagement surveys and pulse surveys.

More about YOU:

• Bachelor’s degree in Human Resources, Data Analytics, Business Administration, or a related field.
• 4+ years of experience in HR data analysis or a similar role, preferably in a global organization.
• Expertise in data analysis tools such as Excel, Google Spreadsheets, Power BI and HRIS platforms.
• Solid understanding of HR metrics, processes, and best practices.
• Exceptional analytical and problem-solving skills, with the ability to turn complex data sets into actionable insights.
• Excellent communication skills, capable of presenting data in an engaging and relevant manner to diverse audiences.
• Strong attention to detail, ensuring data accuracy and compliance with privacy regulations.
• Proactive approach to improving data systems and workflows, with the ability to work independently or collaboratively in a fast-paced environment.