226 Data Visualization jobs in Nairobi

• Assisting in the collection, extraction, and consolidation of data from disparate sources.
• Performing data cleaning and pre-processing to ensure data accuracy and integrity.
• Conducting basic data analysis to identify trends, patterns, and anomalies.
• Supporting the creation of reports, dashboards, and data visualizations.
• Assisting in the documentation of data processes and findings.
• Learning and applying SQL queries to retrieve data from databases.
• Using spreadsheet software (e.g., Microsoft Excel) for data manipulation and analysis.
• Collaborating with team members on data-related projects.
• Attending team meetings and contributing to discussions.
• Seeking opportunities to learn new data analysis techniques and tools.

• Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• Foundational knowledge of data analysis principles and methodologies.
• Basic proficiency in SQL for data querying.
• Familiarity with Microsoft Excel for data manipulation.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote environment.
• A proactive attitude and a strong desire to learn.
• Basic understanding of data visualization principles is a plus.

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

Our client is a multinational financial services firm, with a significant footprint.

Based in either Nairobi or Kuala Lumpur, this role will play a critical role in supporting their internal audit activities by providing insights through the analysis and correlation of data extracted from various systems across the business. Through advanced data analytics techniques, the role will enable the audit team to identify control failures, assess risks, and provide independent assurance to senior leadership that risks are being managed effectively and remain within the organization's approved risk appetite.

Key analytical activities include:

• Data profiling:
  Generating statistics to provide context and background on business processes.
• Reperformance testing:
  Re-performing calculations to validate transactions (e.g., payroll, claims), metrics from management information reports, and analytics models.
• Exception detection:
  Identifying instances where known restrictions, policies, or guidelines have not been followed.
• Anomaly detection:
  Detecting unusual or unexpected patterns of behaviour through data analysis.
• Root cause analysis:
  Identifying and quantifying the factors contributing to control failures and providing actionable insights.

The role also supports the internal audit leadership team in assessing the overall effectiveness of risk management practices.

Scope of the Role

As part of the regional audit resource pool, the Data Analytics Manager will be responsible for:

• Applying data analytics tools such as
  SQL
  and
  Python
  to support audit teams across the full audit lifecycle, from planning through closure.
• Detecting symptoms of control failures by analyzing operational data and providing insights to audit leads.
• Developing and maintaining
  continuous auditing dashboards
  using visualization tools such as
  Tableau
  or
  Power BI
  , providing clear visibility of control effectiveness across business units.
• Identifying trends and emerging themes that support the development of opinions on the organization's overall control environment.
• Supporting leadership in delivering continuous improvement initiatives and meeting stakeholder reporting requirements.
• Collaborating with internal teams, including
  IT
  and
  Compliance
  , to facilitate efficient data sourcing for audits and analytics initiatives.

Key Accountabilities

• Build and maintain strong working relationships with audit directors, internal audit leadership, and operational management teams.
• Deliver analytics outputs in line with internal methodologies and audit timelines.
• Provide audit leads with timely, accurate data-driven insights during fieldwork.
• Present audit findings to senior management, ensuring that appropriate responses are obtained for each identified issue.
• Manage analytics projects effectively, taking ownership of deliverables from start to finish.

Core Competencies

• Strong technical skills with
  SQL
  and
  Python (Pandas Library)
  for data analytics.
• Proficiency in visualization tools such as
  Tableau
  and/or
  Power BI
  .
• Advanced knowledge of
  Python
  /
  R
  for text analytics, NLP, predictive analytics, or machine learning is highly desirable.
• Excellent stakeholder management, communication, and presentation skills.

Knowledge & Experience

• Hands-on technical experience
  mining, cleaning, and analyzing data using databases and analytics tools.
• Strong working knowledge of SQL in a relational database environment.
• Solid experience using Python for data analysis and automation.
• Experience with machine learning and predictive analytics is advantageous.
• Background in
  financial services
  preferred, ideally with exposure to
  insurance
  or
  investment management
  sectors.
• Experience working within an
  audit
  or
  risk management
  environment is highly desirable.
• Exceptional attention to detail and logical problem-solving abilities.
• A collaborative team player with the ability to build and maintain professional respect within the team and across departments.

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

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in basic statistical concepts.
• Familiarity with data analysis tools and/or programming languages (e.g., Excel, SQL, Python, R) is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A strong desire to learn and develop skills in data analytics.
• Good teamwork and collaboration abilities.