621 Research Analyst jobs in Nairobi

• Perform comprehensive financial statement analysis for publicly traded and private companies.
• Develop and maintain financial models, including discounted cash flow (DCF), comparable company analysis, and precedent transactions.
• Conduct industry and market research to identify trends, opportunities, and risks.
• Prepare detailed investment research reports, presentations, and memos for senior management and investment committees.
• Evaluate the financial performance and potential of investment opportunities across various sectors.
• Monitor macroeconomic factors and their potential impact on investment portfolios.
• Assist in due diligence processes for potential acquisitions or investments.
• Collaborate with portfolio managers and other stakeholders to provide analytical support.
• Stay current with financial regulations, market developments, and valuation methodologies.
• Ensure accuracy and integrity of all financial data and analyses.
• Present findings and recommendations clearly and concisely.

• Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field.
• Proven experience as a Financial Analyst, Investment Analyst, or in a similar role within the banking or finance sector.
• Strong understanding of financial modeling, valuation techniques, and accounting principles.
• Proficiency in financial data analysis tools and software (e.g., Bloomberg Terminal, FactSet, Refinitiv Eikon).
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to present complex financial information effectively.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
• Experience with Python, R, or other statistical programming languages is a plus.
• CFA charterholder or candidate progressing towards CFA is highly desirable.
• High ethical standards and attention to detail.

A Business Data Analytics and Research intern plays a crucial role in organizations by leveraging data to drive strategic decision-making, conducting research to identify market trends, and optimizing business operations. Below are key responsibilities and skills typically associated with this role:

Key Responsibilities:

1. Data Collection and Analysis
   :

2. Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.

3. Use statistical tools to interpret data sets, identifying patterns and trends that inform business decisions.

2.Data Visualization, Reporting and Presentation
:

• Prepare and present detailed reports, dashboards, and visualizations that summarize key data insights and findings.
• Communicate complex data results to non-technical stakeholders in a clear and actionable manner.
• Capacity to develop concept notes and proposals based on market research gaps

3. Market Research
:

• Conduct qualitative and quantitative research to identify new market opportunities, competitor analysis, and customer preferences.
• Evaluate market conditions, industry trends, and competitors' activities to support business growth strategies.
• Prepare presentations based on market research reports

4.Business Performance Monitoring
:

• Monitor key performance indicators (KPIs) to track business progress and identify areas for improvement.
• Recommend improvements based on data insights to optimize processes, reduce costs, and increase profitability.

5.Collaborating with Teams
:

• Work closely with different departments such as marketing, finance, and operations to align data-driven insights with business objectives.
• Provide support for product development, sales strategies, and customer experience initiatives through data analysis.

6.Data Management
:

• Ensure the accuracy, completeness, and security of data.
• Develop and maintain databases, data collection systems, and strategies for efficient data storage and retrieval.

Key Skills:

1.Data Analytics Tools
:

• Proficient in tools like SQL, Excel, Tableau, Power BI, Google Analytics, and other business intelligence platforms.

2.Statistical Analysis
:

• Knowledge of statistical software (e.g., R, SAS, SPSS) and techniques such as regression analysis, hypothesis testing, and predictive modeling.

3.Research and Excellent Writing skills:

• Strong ability to conduct both primary and secondary research, including surveys, interviews, and literature reviews.
• Capacity to develop report and concepts based on market research reports

4.Problem-Solving
:

• Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.

5.Communication Skills
:

• Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.

6.Attention to Detail
:

• High level of precision in handling large data sets and ensuring data accuracy.

7.Project Management
:

• Ability to manage multiple research projects simultaneously, ensuring timely delivery of results.

Education, knowledge and experience:

• A degree in Agricultural Economics or a related field.
• Experience in management and analysis of data.
• Field experience and synthesis of data and lessons for learning
• Knowledge and savvy of data analysis software, especially Stata.
• Very strong analytical skills and applied statistical experience.
• Good scientific wring experience.

• Assist in collecting and cleaning data from various sources.
• Perform basic data analysis and identify trends, patterns, and anomalies.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and presentations on market trends and insights.
• Help maintain and organize databases and data repositories.
• Participate in team meetings and contribute ideas for data analysis projects.
• Learn and apply new data analysis techniques and tools.
• Ensure data accuracy and integrity throughout the analysis process.
• Assist in preparing ad-hoc data requests.
• Contribute to a collaborative and data-driven team environment.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Recent graduate or early-career professional with a strong academic record.
• Foundational understanding of statistical principles and data analysis techniques.
• Proficiency in using spreadsheet software (e.g., Microsoft Excel, Google Sheets) for data manipulation and analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of SQL or other database query languages is advantageous.
• Excellent attention to detail and accuracy.
• Strong analytical and problem-solving skills.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and develop skills in data analysis.
• Requires a reliable internet connection and a suitable remote workspace.

• Assist in collecting and organizing e-commerce data from various sources.
• Perform data cleaning and validation to ensure accuracy and integrity.
• Support the analysis of website traffic, sales data, and customer behavior.
• Help in generating reports on key performance indicators (KPIs) for e-commerce operations.
• Identify basic trends and patterns in customer data.
• Assist in preparing presentations of analytical findings for relevant teams.
• Learn and utilize data analysis tools and software.
• Collaborate with senior analysts and team members on ongoing projects.
• Contribute to ad-hoc data analysis requests as needed.
• Maintain documentation for data processes and methodologies.

• Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of data analysis concepts and techniques.
• Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Eagerness to learn and adapt to new tools and technologies.
• Good communication skills, both written and verbal.
• Interest in e-commerce and digital marketing.
• Ability to work both independently and as part of a team.

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)

<