846 Hr Analytics jobs in Kenya

• Collect, clean, and organize HR data from various sources, including HRIS, payroll, and recruitment platforms.
• Develop and maintain HR dashboards and reports to track key metrics such as headcount, turnover rates, time-to-hire, and employee satisfaction.
• Analyze trends in employee data to identify patterns, predict future needs, and recommend proactive solutions.
• Conduct in-depth analysis on specific HR initiatives, such as compensation benchmarking, diversity and inclusion metrics, and employee engagement surveys.
• Collaborate with HR business partners and leaders to understand their data needs and provide relevant analytical support.
• Ensure data accuracy, integrity, and confidentiality.
• Develop and document data definitions, methodologies, and reporting processes.
• Present findings and recommendations to HR leadership and other stakeholders in a clear and concise manner.
• Stay updated on HR analytics best practices and emerging technologies.
• Support ad-hoc data requests and projects as needed.

• Bachelor's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Proven experience as an HR Analyst or in a similar data analysis role, preferably within HR.
• Proficiency in HR Information Systems (HRIS) and data analysis tools (e.g., Excel, SQL, R, Python).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong understanding of HR principles and metrics.
• Excellent analytical, quantitative, and problem-solving skills.
• Strong communication and presentation skills, with the ability to convey complex data insights effectively.
• Ability to work independently and manage priorities in a remote environment.
• High attention to detail and commitment to data accuracy.

• Collecting, cleaning, and organizing HR data from various sources.
• Analyzing HR metrics such as employee turnover, recruitment data, performance metrics, and compensation.
• Identifying trends and patterns in HR data to provide actionable insights and recommendations.
• Developing and maintaining HR dashboards and reports for senior management.
• Supporting workforce planning initiatives through data-driven analysis.
• Assisting in the evaluation and implementation of HR technology solutions.
• Ensuring data accuracy, integrity, and compliance with data privacy regulations.
• Collaborating with HR business partners and other stakeholders to understand their data needs.
• Conducting ad-hoc data analysis to address specific HR-related questions.
• Contributing to the development of HR strategies and policies based on data insights.

• Collect, clean, and analyze large datasets related to all aspects of human resources.
• Develop and maintain comprehensive HR dashboards and reports using data visualization tools.
• Identify key HR metrics and KPIs to track workforce performance and measure the impact of HR initiatives.
• Conduct analyses on employee recruitment, retention, engagement, performance, and compensation.
• Develop predictive models for workforce planning, talent acquisition, and employee turnover.
• Partner with HR stakeholders to understand their data needs and provide analytical support.
• Ensure data accuracy, integrity, and compliance with privacy regulations.
• Present complex data findings and recommendations to HR leadership and other stakeholders in a clear and concise manner.
• Stay current with HR analytics best practices and emerging technologies.
• Recommend improvements to HR processes and policies based on data-driven insights.

• Bachelor's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Minimum of 5 years of experience in HR analytics or a similar data analysis role with a focus on HR.
• Proficiency in HRIS systems (e.g., Workday, SAP SuccessFactors, Oracle HCM) and strong SQL skills.
• Advanced knowledge of statistical analysis techniques and data modeling.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Strong understanding of HR functions, metrics, and best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superior communication and presentation skills, with the ability to translate technical findings into business insights.
• Ability to work independently and manage multiple projects in a remote environment.

About The Role
BURN is seeking a detail-obsessed analyst to own internal payroll audits (employees, contractors, and sales agents), strengthen payroll controls, and turn HR data into decision-ready insights. You'll design and run recurring payroll audits and reconcile variances. You'll also build dashboards across hiring, engagement, compensation, and performance, and act as a BCP backup for payroll execution. As we transition personnel records to Microsoft Dynamics NAV/Business Central, you'll champion data quality, retention/privacy, and enable system change-logs for auditability. This role is critical to payroll accuracy, People data integrity, operational efficiency, and compliance.

Duties And Responsibilities

• Payroll audit & compliance

• Design and run recurring internal payroll audits (e.g., monthly/quarterly): validate gross-to-net, statutory deductions, benefits, and bank details; investigate anomalies; document findings and remediation

• Establish and monitor payroll internal controls: segregation of duties, maker-checker approvals, access controls, audit trails, and regular reconciliations
• Sales-agent commission audits: reconcile ERP sales data to commissionable events; test plan logic, rate tables, caps/floors, clawbacks, and draws; sample transactions, recalc payouts, and sign off pre-pay

• Coordinate with Finance/Legal on external inquiries, employment verifications, and support for regulatory or investor audits; maintain audit workpapers and evidence

• HR data analytics & reporting

• Build and maintain dashboards/KPIs across hiring funnels, engagement, compensation, attendance/leave, and performance; deliver trends, variance/exceptions, and predictive insights to leadership.

• Aid the HR Team to maintain clean HR data, with employee data moving 100% to the Microsoft NAV ERP - define data mappings, quality checks, and reconciliations
• Run ad-hoc analysis as needed
• Payroll operations (BCP)
• Serve as a documented BCP resource to execute payroll end-to-end when needed; keep SOPs current, with test runs and checklists

Skills and Experience

• Bachelor's degree in a relevant field (Accounting/Finance, Data/Analytics, HR, or similar)
• 3–5+ years in payroll audit/compliance, HR data analysis, or related analytical roles
• Hands-on experience with HRIS/ATS and ERP (Microsoft Dynamics NAV/Business Central preferred); advanced Excel/Sheets
• Strong grasp of internal controls (preventive/detective/corrective), reconciliations, sampling, and evidence retention
• Excellent communication - able to explain complex findings to technical and non-technical stakeholders; crisp documentation

Qualified Female Candidates encouraged to Apply
BURN
does not charge a fee at any stage of the recruitment process (application, interview, meeting, processing, training, or any other fees).
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• Analyze and interpret geological data from various sources.
• Develop and maintain geological databases.
• Perform spatial analysis and create geological maps and models.
• Conduct statistical analysis and predictive modeling for resource assessment.
• Generate comprehensive geological reports and presentations.
• Collaborate virtually with cross-functional technical teams.
• Stay updated on geological software and data analysis techniques.
• Identify and evaluate potential mineral exploration targets.

• MSc or PhD in Geology or a related earth science field.
• Significant experience in geological data analysis and interpretation.
• Proficiency in geological modeling software (e.g., Leapfrog, Petrel) and GIS.
• Strong programming skills (Python, R) for data analysis.
• Excellent understanding of geological principles and exploration techniques.
• Proven ability to work independently and manage remote projects.
• Strong written and verbal communication skills for technical reporting.

• Analyze and interpret various geological datasets such as seismic, well logs, geochemical, and geophysical data.
• Utilize geological software (e.g., Leapfrog, Petrel, ArcGIS) for 3D modeling, visualization, and interpretation of subsurface structures.
• Identify and evaluate potential exploration targets based on geological principles and data analysis.
• Prepare detailed geological reports, maps, and cross-sections to document findings and recommendations.
• Collaborate remotely with exploration teams, geophysicists, and engineers to integrate data and refine interpretations.
• Contribute to the development of exploration strategies and project planning.
• Assess geological risks and uncertainties associated with exploration projects.
• Stay updated on the latest advancements in geological techniques, software, and exploration technologies.
• Present geological findings and project updates to management and stakeholders.
• Maintain accurate and organized geological databases and project files.
• Assist in the design and planning of geological field programs (if applicable, though this role is primarily remote).
• Ensure all interpretations and reporting adhere to industry best practices and safety standards.
• Provide expert geological input for resource estimation and feasibility studies.
• Critically evaluate data quality and implement data validation procedures.
• Foster a collaborative spirit within the remote technical team.

• Master's degree or Ph.D. in Geology, Earth Science, or a related field.
• Minimum of 5 years of experience in exploration geology, particularly in mining or resource exploration.
• Demonstrated proficiency with geological modeling and interpretation software (e.g., Leapfrog Geo, Petrel, Vulcan, ArcGIS).
• Strong understanding of structural geology, stratigraphy, mineralogy, and geochemistry.
• Proven experience in interpreting seismic data, well logs, and other exploration datasets.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Exceptional written and verbal communication skills, with the ability to present complex geological information clearly.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Familiarity with data analysis and visualization techniques.
• Experience with scripting languages (e.g., Python) for data manipulation is a plus.
• Must be adaptable and able to thrive in a fully remote work environment.