2,024 Data Analyst jobs in Kenya

• Process and quality control raw geophysical data (e.g., seismic, magnetic, gravity, electromagnetic).
• Perform advanced data interpretation to identify geological structures and potential resource targets.
• Develop and maintain geophysical databases and models.
• Generate comprehensive reports and visualizations of findings.
• Collaborate with geologists and other geoscientists to integrate geophysical data with other geological information.
• Stay abreast of the latest advancements in geophysical methods and software.
• Contribute to the planning and design of geophysical surveys.
• Troubleshoot and resolve data processing issues.
• Ensure data integrity and adherence to company standards.

• Master's or Ph.D. in Geophysics, Earth Sciences, or a related field.
• Minimum of 5 years of experience in geophysical data processing and interpretation, preferably in the mining or exploration industry.
• Proficiency in industry-standard geophysical software (e.g., Petrel, Oasis Montaj, Geosoft).
• Strong programming skills (e.g., Python, MATLAB) for data analysis and automation are highly desirable.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities, with the capacity to present complex technical information clearly.
• Proven ability to work independently and manage time effectively in a remote setting.
• Must have a reliable internet connection and a suitable home office environment.

• Analyze geological and geophysical data from exploration, drilling, and mining operations.
• Develop and interpret geological models to identify potential ore bodies and estimate resource volumes.
• Utilize advanced statistical methods and data mining techniques to extract meaningful insights from complex datasets.
• Generate detailed reports, maps, and visualizations of geological data for internal stakeholders.
• Collaborate remotely with exploration teams, mine engineers, and management to inform strategic decisions.
• Evaluate and recommend areas for further exploration based on data analysis and geological interpretation.
• Ensure data integrity and accuracy throughout all stages of analysis.
• Stay abreast of new technologies and methodologies in geological data analysis and interpretation.
• Contribute to the development of exploration and mine planning strategies.
• Maintain up-to-date knowledge of mining regulations and best practices.
• Perform risk assessments related to geological uncertainties in resource estimation.
• Assist in the selection and implementation of geological software and tools.
• Communicate complex geological findings clearly and concisely to both technical and non-technical audiences.

• Master's degree or PhD in Geology, Geophysics, or a related Earth Science field.
• Minimum of 5 years of experience in geological analysis, resource estimation, or exploration geology.
• Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, ioGAS).
• Strong expertise in data analysis, statistical modeling, and programming languages (e.g., Python, R) is highly desirable.
• Experience with GIS software (e.g., ArcGIS, QGIS) and data visualization tools.
• Excellent analytical and problem-solving skills.
• Ability to interpret complex geological data and translate it into actionable business insights.
• Strong written and verbal communication skills for effective remote collaboration.
• Ability to work independently and manage projects effectively in a remote environment.
• Familiarity with mining industry best practices and safety standards.
• Experience with machine learning techniques applied to geological data is a significant plus.

Company Description
Infotrak Research and Consulting is a full service research company that was founded in 2004 following the vision of the founder to provide the Pan African Market with suitable information solutions required to sustain the ever-growing economies in the continent.

Headquartered in Nairobi, Kenya, Infotrak also has affiliate offices in Uganda, Tanzania, Nigeria and field contacts in more than 12 other countries in Sub Saharan Africa. The firm attributes its rapid growth to not only innovation, high level of professionalism and dynamism, but also on the excellent caliber of personnel who have been described by many as "Business minds who specialize in research".

Services provided include: Customer & Employee Satisfaction Surveys, Market Segmentation Studies, Brand Health checks, Consumer Usage and attitude studies, advertising awareness/impact surveys, advertising pre-post testing, media surveys, pricing studies, new product research, market feasibilities, formative research, perception surveys, KAP studies etc.

Job Description
We are seeking a highly skilled and detail-oriented Data Analyst with a minimum of five (5) years' experience in data analytics to join our dynamic team. The ideal candidate should have a strong background in statistical analysis, data management, and visualization.

Key Responsibilities:

• Process, clean, and validate large datasets from various sources.
• Prepare survey sampling designs.
• Perform statistical analysis and interpretations to identify trends, patterns, and correlations.
• Develop dashboards, reports, and data visualizations to support business objectives.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Apply advanced analytical techniques to solve complex problems.
• Ensure data integrity, confidentiality, and compliance with relevant policies and regulations.
• Implement process improvements and data-driven strategies to optimize performance.

Qualifications

• Bachelor's degree in Statistics or a related field. Master's degree will be an added advantage.
• Minimum of five (5) years' proven experience in data analytics, statistical modelling, and reporting.
• Proficiency in statistical tools and programming languages (e.g., SPSS, STATA, MS Excel, R, and Python).
• Strong experience with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information

This job is full time job and the applicant must be willing to work outside of the country.

If you meet the above requirements, send your CV with a cover letter and testimonials to

the contact address provided.

NB: Ladies are strongly encouraged to apply.

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 Summary
The Data Analyst is responsible for developing and implementing data-driven strategies to support the company's business objectives. This includes analyzing large datasets to uncover trends, predict risks, and inform decisions related to pricing, underwriting, claims, and customer behavior, overall sections/business performance. The role ensures the company leverages its data assets to improve profitability, efficiency, and customer satisfaction.

Job Description
Accountability

• Assisting the departments/business in analyzing data and metrics to identify trends that are useful in decision making.
• Assisting in all phases of project work, including problem identification, formulation, model development, and deployment.
• Analyse source data and data flows, working with structured and unstructured data to determine trends and assist in better decision-making.
• Support in the development and enhancements of Macros in configuring data sets to specified or standard reporting templates for aggregation from multi systems.
• Build and maintain statistical models to forecast trends, assess risk, and optimize pricing and underwriting decisions. This may involve using techniques such as regression analysis, machine learning, and time-series forecasting.
• Analysing business performance and ensure alignment with the organization's long-term vision and strategic objectives.
• Collaborate with departments like underwriting, claims, and sales to identify areas for improvement and implement data-driven solutions to enhance operational efficiency.
• Conduct comprehensive analysis of policy, claims, and sales data to provide actionable insights. Develop and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) and present findings to senior management.
• Business Case Support: Contribute to the development of business cases for proposed projects.
• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
• Apply AI and Machine Learning technology to solve complex, business problems
• Analyze and visualize diverse sources of data, interpret results in a business context, and report results clearly and concisely
• Communicate and present analytical models to the department management
• Work collaboratively with different business partners and be able to present results in a clear and concise manner.
• Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
• Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
• Assist with developing and deploying AI educational workshops/seminar series for the staff to accelerate AI adoption.

Accountability: People & Culture

• Fostering a corporate culture that promotes ethical practices and good corporate citizenship while maintaining a conducive work environment.
• Collaborate with cross-functional teams to develop initiatives that promote a positive and inclusive company culture.
• Individualized Development Planning: Create personalized development plans that align with your career aspirations and the organization's objectives.

Accountability : Risk Management

• Compliance: Stay updated with insurance regulations and best practices to ensure compliance with industry standards
• Adherence to the laws and regulations of Kenya, the policies and regulations within the insurance industry and all internal company policies and procedures.
• Ensuring compliance with applicable statutory and regulatory requirements and establishing mitigation measures against emerging business risks.
• Drive a culture of proactive compliance in the function.

Education And Qualifications Required (Essential)

• Bachelor's degree in Computer Science, Data Science, Engineering, Actuarial, Statistics, Economics, Mathematics, Business or other relevant qualifications.
• Diploma in Insurance/relevant Insurance professional Qualification will be an added advantage.
• Analytical Skills
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Scalable Computing.
• 2-3 years relevant experience
• Have experience in operating in complex business environments and/or regulated sectors and have the personal qualities to develop strong stakeholder relationships

Technical Skills

• Programming Languages: Proficiency in Python or R for data manipulation, statistical analysis, and modeling.
• Database Management: Strong skills in SQL for querying and managing large datasets.
• Business Intelligence Tools: Experience with data visualization and dashboard tools.
• Statistical Software: Familiarity with statistical software (e.g., SAS, SPSS).

Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)