4,208 Data Analyst Positions jobs in Kenya

• Collect, clean, and analyze large datasets related to financial performance, market trends, and operational metrics.
• Develop, maintain, and enhance complex financial models for forecasting, budgeting, and scenario analysis.
• Conduct in-depth variance analysis, investigating discrepancies and providing explanations for financial deviations.
• Prepare and present clear, concise, and accurate financial reports and dashboards to senior management and stakeholders.
• Identify key financial drivers and trends, providing actionable insights and strategic recommendations.
• Collaborate with accounting and finance teams to ensure data integrity and accuracy.
• Design and implement data-driven solutions to improve financial reporting processes and efficiency.
• Assess the financial feasibility of new business initiatives and investment opportunities.
• Stay abreast of industry best practices and emerging trends in financial analysis and data science.
• Manage multiple projects simultaneously, meeting deadlines in a remote setting.

• Master's degree in Finance, Accounting, Economics, Statistics, or a related quantitative field.
• Minimum of 6 years of experience in financial analysis, data analysis, or a similar role.
• Proven experience in building and maintaining sophisticated financial models.
• Expertise in statistical analysis, data mining, and data visualization techniques.
• Proficiency in SQL, Python, R, or other relevant programming languages for data analysis.
• Advanced knowledge of financial software, ERP systems, and BI tools (e.g., Tableau, Power BI).
• Strong understanding of accounting principles and financial reporting standards.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superior written and verbal communication skills, with the ability to explain complex financial concepts to non-technical audiences.
• Demonstrated ability to work independently and collaboratively in a remote environment.

• Collect, clean, and organize large datasets from various financial sources.
• Perform detailed financial analysis, including variance analysis, trend analysis, and forecasting.
• Develop and maintain complex financial models for budgeting, forecasting, and valuation purposes.
• Identify key financial drivers and KPIs, and monitor performance against targets.
• Prepare comprehensive financial reports, dashboards, and presentations for executive leadership.
• Conduct market research and competitive analysis to inform financial strategies.
• Collaborate with cross-functional teams, including finance, accounting, and operations, to gather data and ensure accuracy.
• Assess financial risks and opportunities, providing recommendations for mitigation and improvement.
• Stay updated on financial regulations, industry best practices, and economic trends.
• Automate reporting processes where possible to enhance efficiency and accuracy.

• Bachelor's or Master's degree in Finance, Economics, Accounting, Statistics, or a related quantitative field.
• Minimum of 5 years of progressive experience in financial analysis, data analysis, or a related field.
• Proven expertise in financial modeling, forecasting, and valuation techniques.
• Proficiency in data analysis tools such as Excel (advanced), SQL, Python, or R.
• Experience with financial reporting software and ERP systems is highly desirable.
• Strong understanding of accounting principles and financial statements.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex financial information clearly and concisely.
• Ability to work independently and collaboratively in a team environment.
• Experience working in a hybrid remote/in-office setup. This role is based in Nakuru, Nakuru, KE , with a hybrid work arrangement.

• Analyze financial data to identify trends, patterns, and potential risks and opportunities.
• Develop and maintain complex financial models for forecasting, budgeting, and valuation.
• Create and present clear, concise financial reports and dashboards for senior management and stakeholders.
• Collaborate with accounting teams to ensure data accuracy and integrity.
• Provide insights and recommendations to support strategic financial planning and decision-making.
• Identify key performance indicators (KPIs) and develop methods for tracking and measuring financial performance.
• Perform ad-hoc financial analysis and reporting as required.
• Stay current with industry trends and best practices in financial analysis and data science.
• Assist in the implementation of new financial systems and tools.
• Communicate complex financial information to non-financial audiences effectively.

• Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related quantitative field. Master's degree or relevant professional certification (CFA, CMA) is a plus.
• Minimum of 5 years of experience in financial analysis, data analysis, or a related role.
• Proven experience in financial modeling, forecasting, and budgeting.
• Strong proficiency in advanced Excel, SQL, and financial analysis software.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Excellent understanding of accounting principles and financial statements.
• Strong analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex financial data clearly.
• Experience working in a remote team environment is highly valued.
• Familiarity with ERP systems and data warehousing concepts.

• Develop and maintain financial models for budgeting, forecasting, and scenario analysis.
• Design and implement automated reporting solutions to track financial KPIs.
• Conduct in-depth analysis of financial data to identify trends, anomalies, and areas for improvement.
• Collaborate with cross-functional teams to gather data requirements and deliver analytical insights.
• Prepare comprehensive presentations and reports for senior management.
• Ensure data accuracy, integrity, and consistency across all financial reporting.
• Stay updated on industry best practices and emerging technologies in financial analytics.

• Bachelor's degree in Finance, Economics, Statistics, or a related quantitative field. A Master's degree is a plus.
• 5+ years of experience in financial analysis, data analysis, or a similar role.
• Advanced proficiency in Microsoft Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of financial accounting principles and reporting.
• Experience with statistical programming languages like Python or R is highly desirable.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage projects and deadlines effectively in a remote setting.
• Proven ability to work independently and as part of a collaborative team.

Company Description

Tezzra Technologies is a partner in digital transformation, delivering customized IT solutions to drive efficiency, enhance security, and unlock growth for businesses in today's fast-changing digital world. We excel in IT support, cloud solutions, integrations, and AI, empowering businesses to stay ahead in the digital race.

Role Description

This is a full-time hybrid role for a Business Data Analyst based in Nairobi County, Kenya, with some work-from-home flexibility. The Business Data Analyst will be responsible for collecting and analyzing data, developing data models, interpreting statistical results, and providing actionable insights. Effective communication of data-driven findings and recommendations to stakeholders is a critical part of the role.

Qualifications

• Strong Analytical Skills and experience in Data Analytics
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills to convey complex data insights clearly
• Proficiency with data analysis tools and software
• Ability to work independently as well as collaboratively in a hybrid work environment
• Bachelor's degree in Data Science, Statistics, Business Analytics, or related field
• Experience in the IT industry is a 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)