229 Inventory Analyst jobs in Nairobi

• Developing and implementing efficient inventory control procedures and policies.
• Managing the receiving, warehousing, and distribution operations of goods.
• Maintaining accurate inventory records through regular cycle counts and audits.
• Analyzing inventory data to forecast demand, identify slow-moving items, and optimize stock levels.
• Implementing strategies to minimize stockouts, overstocking, and product obsolescence.
• Overseeing the efficient picking, packing, and shipping of customer orders.
• Utilizing warehouse management systems (WMS) and inventory software to track and manage stock.
• Identifying and implementing process improvements to enhance warehouse efficiency and accuracy.
• Ensuring compliance with all safety regulations and warehouse best practices.
• Collaborating with cross-functional teams to align inventory management with business needs.

• Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
• Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
• Analyze game footage and athlete movements to extract key performance indicators (KPIs).
• Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
• Create comprehensive reports and visualizations to communicate findings effectively.
• Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
• Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
• Contribute to the development of new data collection and analysis methodologies.
• Ensure data integrity and confidentiality.
• Present findings and recommendations in a compelling manner to stakeholders.

• Design, develop, and implement HR analytics strategies and solutions.
• Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
• Develop and maintain HR dashboards and reports to visualize key metrics and insights.
• Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
• Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Ensure data integrity, accuracy, and compliance with data privacy regulations.
• Stay current with the latest trends and best practices in HR analytics and people data science.
• Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
• Collaborate with IT and data management teams to ensure robust data infrastructure.

• Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
• Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
• Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication and presentation skills.
• Ability to work independently and manage multiple complex projects in a remote environment.
• Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
• Demonstrated ability to influence stakeholders and drive data-informed decision-making.
• Strong ethical grounding and commitment to data privacy.

• Collect, clean, and process large datasets from various sports events and platforms.
• Develop and implement statistical models to analyze player performance, team strategies, and game outcomes.
• Create compelling data visualizations and reports to communicate findings to coaches, management, and other stakeholders.
• Identify key performance indicators (KPIs) and track progress towards strategic goals.
• Conduct predictive analysis to forecast game results, player development, and injury risks.
• Collaborate with coaching staff to translate data insights into practical game plans and training regimes.
• Stay abreast of the latest trends and advancements in sports analytics, data science, and related technologies.
• Develop and maintain databases and dashboards for real-time performance monitoring.
• Contribute to the development of innovative analytical tools and methodologies.
• Present findings and recommendations clearly and concisely to diverse audiences.
• Assist in scouting and player recruitment by analyzing potential talent based on performance metrics.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Sports Science, or a related quantitative field.
• Proven experience in sports analytics, data analysis, or a similar role.
• Proficiency in statistical programming languages such as R, Python, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical modeling, machine learning, and predictive analytics techniques.
• Deep knowledge of sports rules, strategies, and common performance metrics across multiple disciplines.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently, manage time effectively, and collaborate remotely.
• Experience with the sports landscape in **Mombasa, Mombasa, KE** is a plus, but not mandatory for this remote position.

• Design, develop, and implement sophisticated statistical models and algorithms to analyze sports performance data.
• Identify trends, patterns, and insights that can enhance athletic performance, strategy, and fan experience.
• Collaborate with coaches and athletes to understand their data needs and provide tailored analytical support.
• Lead and mentor a team of junior sports analysts, fostering a culture of innovation and continuous learning.
• Develop and maintain robust data pipelines and ensure data integrity.
• Create compelling data visualizations and reports to communicate findings to diverse audiences.
• Contribute to the development of new analytical tools and platforms.
• Stay current with advancements in sports analytics, machine learning, and relevant technologies.
• Present findings and recommendations to senior management and key stakeholders.
• Manage multiple analytical projects concurrently, ensuring timely delivery and impactful results.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in sports analytics or a related field, with a proven track record of leadership.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various sports and their underlying performance metrics.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Demonstrated ability to lead and manage a team in a remote setting.
• Strong problem-solving skills and a passion for sports innovation.

• Collect, clean, and analyze large datasets related to supply chain operations.
• Develop and maintain dashboards and reports for monitoring supply chain performance.
• Identify trends, patterns, and anomalies in supply chain data.
• Provide data-driven recommendations for optimizing inventory, logistics, and procurement.
• Build predictive models for demand forecasting and risk assessment.
• Collaborate with cross-functional teams to implement data-driven improvements.
• Communicate complex analytical findings to non-technical stakeholders.
• Stay current with best practices in data analysis and supply chain management.
• Evaluate and recommend new analytical tools and technologies.
• Ensure data accuracy and integrity throughout the supply chain.

• Master's degree in Supply Chain Management, Operations Research, Statistics, Data Science, or a related quantitative field.
• 5+ years of experience in data analysis, with a focus on supply chain or logistics.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data analysis and visualization tools (e.g., Python, R, Tableau, Power BI).
• Deep understanding of supply chain processes and KPIs.
• Experience with forecasting techniques and inventory management principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively in a remote, collaborative environment.
• Experience with optimization modeling is a plus.

• Develop and implement comprehensive inventory control policies and procedures.
• Oversee all aspects of warehouse operations, including receiving, storage, and dispatch.
• Manage and optimize the Warehouse Management System (WMS).
• Conduct regular inventory audits and cycle counts to ensure accuracy.
• Analyze inventory data to forecast demand and plan procurement.
• Minimize inventory holding costs while meeting service level agreements.
• Negotiate with suppliers and logistics providers for optimal service and cost.
• Implement process improvements to enhance warehouse efficiency and productivity.
• Manage and mentor the remote logistics and warehouse team.
• Ensure compliance with safety regulations and operational standards.

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
• 5+ years of experience in warehouse management and inventory control.
• Proven experience with Warehouse Management Systems (WMS) implementation and management.
• Strong understanding of inventory planning, forecasting, and control methodologies.
• Excellent leadership, analytical, and problem-solving skills.
• Experience in managing remote teams and operations.
• Proficiency in logistics software and data analysis tools.
• Strong communication and negotiation abilities.

• Develop and implement robust inventory management strategies to ensure optimal stock levels and minimize carrying costs.
• Oversee the accurate tracking of all incoming and outgoing inventory using a Warehouse Management System (WMS).
• Conduct regular cycle counts and physical inventories to verify stock accuracy and identify discrepancies.
• Analyze inventory data to forecast demand, identify trends, and make recommendations for stock adjustments.
• Manage relationships with suppliers regarding inventory levels, lead times, and order fulfillment.
• Implement and enforce inventory control policies and procedures to prevent loss, damage, or obsolescence.
• Collaborate with procurement, logistics, and sales teams to ensure alignment on inventory needs.
• Identify opportunities for process improvements to enhance inventory accuracy and efficiency.
• Train and mentor warehouse staff on inventory best practices and WMS usage (where applicable remotely).
• Generate regular reports on inventory levels, turnover rates, and stock aging.
• Ensure compliance with all relevant health, safety, and security regulations within warehouse environments.

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
• Minimum of 5 years of progressive experience in warehouse inventory management.
• Proven experience with Warehouse Management Systems (WMS) and inventory control software.
• Strong analytical and problem-solving skills, with the ability to interpret complex inventory data.
• Excellent understanding of supply chain principles and best practices.
• Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote setting.
• Demonstrated ability to manage and optimize inventory levels, reduce carrying costs, and improve stock accuracy.
• Proficiency in Microsoft Excel and other relevant analytical tools.
• Detail-oriented with a commitment to accuracy and process excellence.
• Ability to work independently, prioritize tasks, and meet deadlines in a remote environment.
• Experience in overseeing remote warehouse operations or coordinating with multiple warehouse sites is a plus.

About Skillmind Software Limited

Skillmind Software Limited is a leading technology solutions provider specializing in SaaS, ERP, and AI-driven digital transformation across Africa. We develop and implement products such as CloudHR, CloudWage, TimeTrax, HR Genie, WizERP, and WizPOS, serving enterprises across multiple industries including hospitality, manufacturing, logistics, and professional services.

We are committed to innovation, reliability, and excellence — building products that simplify business processes and empower organizations through technology.

Position Overview

We are seeking an experienced and hands-on IT Technical Lead to provide both technical leadership and development oversight across our software projects. The ideal candidate will guide, mentor, and support a cross-functional team of developers while also contributing directly to software design, architecture, and development.

This role requires a strong foundation in full-stack development, modern cloud architectures, and agile delivery practices. The incumbent will collaborate closely with the CTO, Project Managers, and Product Owners to ensure technical excellence and timely delivery of projects.

Key Responsibilities

Technical Leadership & Mentorship

• Lead and mentor software developers (backend, frontend, QA, DevOps).
• Conduct regular code reviews, design reviews, and technical sessions.
• Guide the team on best practices for coding standards, testing, and deployment.

Software Design & Development

• Architect and develop scalable web and enterprise solutions using modern frameworks.
• Write clean, maintainable, and efficient code across multiple projects.
• Participate in sprint planning, backlog grooming, and solution design.

Project Oversight

• Ensure technical feasibility and robustness of project implementations.
• Collaborate with UI/UX, QA, and DevOps teams to streamline development workflows.
• Monitor progress, identify technical risks, and propose mitigation strategies.

Innovation & Research

• Evaluate emerging technologies, frameworks, and tools for potential adoption.
• Drive automation, CI/CD pipeline improvements, and performance optimizations.
• Support AI and integration initiatives (Sage, SAP, Odoo, HR Genie).

Stakeholder Collaboration

• Work closely with management and product teams to translate business needs into technical requirements.
• Provide regular technical updates and documentation for management reporting.

Required Skills and Experience

• Education:
  Bachelor's degree in Computer Science, Software Engineering, or related field.
• Experience:
  Minimum 5+ years in software development with 2+ years in a technical leadership or senior engineering role.

Technical Skills:

• Strong expertise in at least two programming languages (e.g., Python, C#, JavaScript/TypeScript, or PHP).
• Experience with Django, .NET, , or React frameworks.
• Proficiency in SQL/MySQL, RESTful APIs, and microservice architectures.
• Familiarity with cloud platforms (Azure/AWS/GCP) and containerization (Docker/Kubernetes).
• Exposure to AI/ML integrations and ERP/HRIS systems (Sage, SAP, Odoo) is a plus.

Soft Skills:

• Excellent communication and interpersonal skills.
• Strong problem-solving and analytical thinking.
• Ability to work under pressure and manage multiple projects concurrently.
• Passion for mentoring and leading by example.

What We Offer

• Competitive salary (commensurate with experience)
• Performance-based bonuses
• Opportunity to lead impactful digital transformation projects
• Exposure to international markets and clients
• Collaborative and innovative work culture