438 Statistical Analysis jobs in Nairobi

• 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.

About BasiGo
BasiGo is an early stage e-mobility start-up looking to create the future of clean, electric public transportation in Africa. Through our products, technology, and service model, BasiGo aims to revolutionize and decarbonize public transport in sub-Saharan Africa, enabling the continent to be a global leader in affordable, modern, low-carbon public transport.

Key Responsibilities

• Data Analysis & Insights
• Collect, clean, and analyze operational, financial, and customer data to identify trends, patterns, and anomalies.
• Produce regular and ad-hoc reports for internal teams (operations, finance, customer experience, engineering) to support data-driven decision making.
• Build intuitive dashboards and visualizations that track KPIs according to departments or projects.
• Partner with business units to define metrics, validate data, and turn analysis into actionable recommendations.
• Support Model Development & Research
• Assist the data science team in preparing datasets for machine learning models in areas such as credit scoring, predictive maintenance, route optimization, and driver behavior scoring.
• Document data sources, assumptions, and model inputs for transparency and reproducibility.
• Data Infrastructure & Quality
• Work closely with engineering to ensure data pipelines are reliable, accurate, and scalable.
• Validate and reconcile data from multiple systems (e.g., telematics, Jani digital fare collection, billing, CRM, financial systems).
• Establish basic data quality checks and flag anomalies proactively.
• Stakeholder Engagement
• Act as a bridge between technical and non-technical teams, translating data findings into clear, actionable insights.
• Support training sessions and workshops to build data literacy across the organization.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• 2–4 years of professional experience in data analysis or business intelligence.
• Proficiency in SQL for data extraction and transformation.
• Strong skills in Python (Pandas, NumPy, matplotlib/Seaborn/Plotly) or R for analysis and visualization.
• Experience with BI/dashboarding tools (e.g., AWS QuickSight, Power BI, Tableau, Looker).
• Solid understanding of data cleaning, statistical analysis, and basic machine learning concepts.
• Familiarity with cloud platforms (AWS preferred) is an advantage.
• Excellent communication skills with the ability to explain data insights to non-technical audiences.
• Knowledge of the Kenyan public transport sector or fintech/mobility data is a plus.

What We Offer

• The opportunity to work at the cutting edge of e-mobility and sustainable transport in Africa.
• A role with real business impact, supporting data-driven decision making across the company.
• Competitive salary and benefits.
• Professional growth opportunities, including mentorship from senior data science leaders and exposure to advanced modeling projects
• A collaborative, mission-driven culture where your contributions directly shape the future of clean mobility.

Attitude and Approach

• Proactive, detail-oriented, and able to handle multiple priorities.
• Growth mindset and eagerness to learn advanced data analysis techniques.
• Team player who thrives in a fast-paced start-up environment.
• Curious, analytical, and passionate about using data to solve real-world problems.

BasiGo is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, age, national origin, ethnic background, disability, pregnancy, sexual orientation or any other protected characteristic established by law.

Job Description/Requirements
Job Title:
Data Analyst

Department
Commercial

Reporting Line
Head of Commercial

Location:
Job Grade
Nairobi, Kenya

HAY 14

About ENGIE BU Africa ENGIE Energy Access
ENGIE Energy Access is a leading Pay-As-You-Go (PAYGo) and mini-grids solutions provider in Africa, with a mission to deliver affordable, reliable and sustainable energy solutions and life-changing services with exceptional customer experience. The company is a result of the integration of Fenix International, ENGIE Mobisol and ENGIE PowerCorner; and develops innovative, off-grid solar solutions for homes, public services and businesses, enabling customers and distribution partners access to clean, affordable energy. The PAYGo solar home systems are financed through affordable installments from $0.14 per day and the mini-grids foster economic development by enabling electrical productive use and triggering business opportunities for entrepreneurs in rural communities.

With over 1,700 employees, operations in nine countries across Africa (Benin, Cote d'Ivoire, Kenya, Mozambique, Nigeria, Rwanda, Tanzania, Uganda and Zambia), over 1 million customers and more than 5 million lives impacted so far, ENGIE Energy Access aims to remain a leading clean energy company, serving millions of customers across Africa by 2025.

Job Purpose/Mission
Reporting to the Head of Commercial, the Business Analyst is responsible for management, collection and analyzing of data that will provide insights and help focus efforts towards achievement of the company's goals.

Responsibilities

• Collate and analyse data for reports.
• Generate reports to assist teams in focusing field activities and enhance the monitoring, evaluation, and learning.
• Working with finance department unit, ensure that sales commissions are collated and processed in a timely fashion
• Monitor sales cycle trends and flag out any anomalies e.g. low lead generation, weak conversion, new growth areas
• Working with field teams, collate farmer issues and analyze (system or user) before forwarding to relevant departments for resolution and follow through for closure.
• Track issues that come in via customer experience and credit and ensure they are routed to the relevant departments within the company for resolution within agreed SLAs
• Develop and present where necessary reports to both internal as well as external stakeholders.
• Support product development strategies, execution and implementation of enhancements
• Compiling, analyzing, and interpreting quantitative data for adhoc and regular market intelligence analysis

Knowledge And Skills
Experience
:

• Have practical knowledge and relevant work experience of not less than 2 years as a Data Analyst
• Knowledge and expertise in re-engineering of business processes, including project management and problem-solving skills with excellent communication skills and ability to engage customers, vendors, partners, and internal cross functional teams

Qualifications

• Be a holder of a bachelor's degree, preferably in Business, Science or IT gained from a recognized institution

Language(s)

• English
• French is a plus

Technology

• Very Strong experience in technology required for the role
• Experience in Data analysis tool

Business Unit: GBU Flexible Gen & Retail

Division: Energy Access

Legal Entity: Engie Mobisol Kenya Limited

Professional Experience: Skilled ( >3 experience <15 years)

Education Level: Post Graduate Diploma (MBA, PhD)

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Job description Data analyst

Location
: Nairobi/Kenya

Experience Level
: Open to all passionate individuals with the right skills and aslo skilled in web scraping.

Compensation: Profit-sharing model (No salary initially, compensation after the first profit cycle)

About Arxern

Arxern is a startup leveraging cutting-edge technology, to address challenges in Kenya's financial sector. Build a tech-first investment platform for Kenyan investors to track, analyze, and automate portfolios . we are on a mission to transform Kenya's fintech landscape and foster economic growth. Join our dynamic team and unlock new opportunities for growth and success. Be part of something impactful and take your skills to the next level

What We Offer

An opportunity to be part of a purpose-driven startup at the forefront of innovation. A collaborative and dynamic work environment where your contributions directly impact our growth.

Profit-sharing compensation model

Your efforts will be rewarded when we succeed together. A chance to make a meaningful difference in Kenya's financial sector. How to Apply If you're excited about leveraging data to drive innovation and want to be part of Arxern's journey to transform Kenya's investment market, we'd love to hear from you Send your application and CV to Join us in creating solutions that will shape Kenya's future Industry Tech Employment Type Full-time Industry Technology, Information and Internet

Role Description

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for performing data analytics and data modeling, conducting statistical analyses, and applying analytical skills to interpret data. The Data Analyst will also be tasked with effectively communicating findings and insights to both technical and non-technical stakeholders. Daily tasks include data collection, data cleaning, data visualization, and generating reports.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Knowledge and experience in Statistics
• Proficiency in Data Modeling
• Excellent Communication skills to convey complex information
• Proficiency in using data analytics tools and programming languages such as Python, R, or SQL is preferred
• Experience with AI and machine learning techniques is a plus
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Ability to work independently and collaboratively in a remote setting
• Attention to detail and problem-solving skills

Company Description

Tezzra Technologies is your partner in digital transformation, offering customized IT solutions to drive efficiency, enhance security, and foster growth in a rapidly evolving digital landscape. Our expertise spans IT support, cloud solutions, integrations, and AI, providing businesses with the tools needed to thrive. We are committed to delivering innovative solutions that address the unique challenges of each client.

Role Description

This is a full-time hybrid role for a Data Analyst located in Nairobi County, Kenya, with some work-from-home flexibility. The Data Analyst will be responsible for analyzing complex data sets, generating meaningful insights, and presenting findings to support business decisions. Daily tasks include data modeling, performing statistical analysis, and collaborating with cross-functional teams to implement data-driven strategies.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Effective Communication skills, both written and verbal
• Ability to work independently and collaboratively in a hybrid work environment
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
• Experience with data visualization tools such as Tableau or Power BI is a plus

About the Role

We're looking for a Data Analyst & Integrations Associate to join our growing Analytics team. You'll work directly with the IT, CRM, and Analytics Manager to manage data flows, support analytics and reporting, and ensure real-time integration with external platform providers.

This role sits at the intersection of data science, systems integration, and day-to-day operations. If you're someone who enjoys solving practical data challenges, understands how systems talk to each other, and can work comfortably across both structured reporting and fast-paced environments, this is for you.

What You'll Do

·   Integrate with external platform providers (via APIs, SFTP, or direct database access) to extract, process, and monitor real-time data feeds

·   Own and manage data pipelines - transforming raw data into analytics-ready formats

·   Support internal reporting and dashboard development across departments

·   Write and optimize SQL queries (especially in PostgreSQL) for both ad-hoc and recurring needs

·   Help automate routine analytics workflows and identify opportunities for smarter, faster processes

·   Collaborate with teams across Marketing, CRM, Finance, and Operations to make sure data is accurate and actionable

·   Monitor and manage server-side processes and data flow, troubleshoot issues, and escalate when needed

What You Should Have

Technical Skills

·   Strong hands-on experience with PostgreSQL (queries, views, procedures, performance tuning)

·   Solid working knowledge of Microsoft tools - especially Excel (Power Query, PivotTables), Power BI, Azure and more

·   Good understanding of APIs, webhooks, and SFTP data integrations

·   Comfortable working with servers - scheduling jobs, writing scripts, basic troubleshooting

·   Experience with real-time or streaming data is a strong plus

·   Bonus: Familiarity with Python or another scripting language for light automation or ETL work

Soft Skills & Fit

·   Analytical and detail oriented - you enjoy working with data and figuring things out

·   Curious and proactive - you don't wait for instructions, you seek solutions

·   Strong communicator - able to simplify complex technical issues for non-technical teams

·   Collaborative and adaptive - comfortable working in a fast-moving, startup-style environment

·   Data-disciplined - you understand the importance of clean, accurate, trustworthy data

What We Offer

·   A front-row seat in a fast-growing company with room to evolve your role

·   Hands-on exposure to real-world, high-volume data

·   Opportunities to grow into more advanced data science or platform management roles

·   Competitive salary and a flexible, learning-oriented work environment

·   A culture that values data, ownership, and execution

How to Apply

After applying on LinkedIn.

Send your CV and a brief message explaining why you're a great fit to:

• Use the subject line:
  Data Analyst & Integrations Role – "Your Name"