393 Data Visualization Tools jobs in Nairobi

Kenya

Expert Data Engineering*

Organization

• Welthungerhilfe

Posted 8 Oct 2025 Closing date 24 Oct 2025

The position is to be filled as soon as possible, with an initial contract duration of two years. There are very good prospects for an extension. Employment location will be Nairobi, Kenya.

We are the fairly new Data Analytics & AI (D&A) team. In collaboration with colleagues from all areas of our organization, we develop solutions and approaches in the large cosmos of Advanced Analytics. Our strategic focus is on data-based learning. Your opportunity: You can be actively involved in building an organization-wide cloud data warehouse and analytics platform and gain fascinating insights from our data. You will be part of a dedicated, innovative team that drives data-driven decisions and always keeps the well-being of our organization in mind. Our challenges as an NGO are special: your stakeholders can be part of the donor service in Bonn or project managers* in our 37 project countries. There in the field, hurdles like power cuts or missing internet connections can make data collection difficult. It's not always easy, but challenging.

The aims of the job are to consult the country offices to plan, implement and further ICT applications, infrastructure and projects promoted by Welthungerhilfe IT on the basis of the valid concept papers and in accordance with ICT HQ operations. The job holder insures efficient and effective ICT operations by training, advising as well as hands-on trouble shooting in respective countries/offices assigned. Are you up for it? Then we look forward to getting to know you

Your responsibilities

• You actively shape the design and development of data analytics and AI solutions based on cloud technologies.
• For the joint development of analytical products with the business unit, you manage the collaboration in agile and interdisciplinary teams to turn data into insights.
• You will guide colleagues from the department, set standards for the use of our products and solutions, and be a Data Ambassador for the organization, like everyone on the team.
• You identify use cases, develop their technical design and implementation up to operation and implement the associated data pipelines including visualizations in dashboards.
• Together with our Data Architect, you develop a sustainable infrastructure as well as data pipelines to supply analytical products from different data sources.
• You are willing to share your experience with colleagues and departments

Your profile

• First and foremost, we are convinced by your personality: your passion for the topic of data analysis paired with your will to move the organization forward together with us.
• You have a master's degree in (business) informatics, data science, (business) mathematics, software engineering or similar.
• You also enjoy working in a team, taking responsibility for tasks and expressing your opinion.
• Thanks to your quick comprehension and strong analytical thinking, you are also willing to take on new tasks.
• You are service-oriented, proactive and communicative, have a high quality standard, but do not lose sight of your goal and work analytically and quickly with fun in creative solutions.
• You have very good SQL skills - in addition, experience with the Azure tool stack and MS PowerBI would make it easier for you to get started.
• It would be great if you already have experience in designing and implementing a wide variety of interfaces (including REST APIs).
• You already have knowledge in data modeling of analytical databases (Dimensional Modeling, Data Vault).
• You have advanced knowledge of common data processing architectures and processes (e.g. ETL / ELT).
• English comes easily to your lips and fluently into the document, because Welthungerhilfe works in almost 40 countries

Our offer

We offer you the opportunity to work in a responsible and interesting field as part of an extremely dedicated team. Welthungerhilfe attaches great importance to the personal and professional development of its employees. Remuneration is based on our gender-independent salary scale.

Please send your application via our online recruiting system by October 24, 2025.
Your contact person is the HR Manager in Nairobi, Kenya. Welthungerhilfe is committed to fighting terrorism in all its activities. Accordingly, any applicant who is offered employment will be screened against lists of known and suspected terrorists.

• Welthungerhilfe values diversity and ensures an inclusive, non-discriminatory working environment. We welcome applications from suitably qualified people from all sections of the community.

How to apply

Please send your application via our online recruiting system by October 24, 2025.
Your contact person is the HR Manager in Nairobi, Kenya. Welthungerhilfe is committed to fighting terrorism in all its activities. Accordingly, any applicant who is offered employment will be screened against lists of known and suspected terrorists.

• Welthungerhilfe values diversity and ensures an inclusive, non-discriminatory working environment. We welcome applications from suitably qualified people from all sections of the community.

Job details

Country

• Kenya

City Nairobi Source

• Welthungerhilfe

Type

• Job

Career category

• Information Management

Years of experience

• 3-4 years

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• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, Looker).
• Support senior analysts in creating data visualizations and presenting findings to stakeholders.
• Help in the development and execution of SQL queries to extract and manipulate data.
• Assist in monitoring key performance indicators (KPIs) and business metrics.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Participate in data quality checks and help ensure data accuracy and integrity.
• Learn and apply new data analysis techniques and tools.
• Contribute to the documentation of data processes and methodologies.
• Assist in ad-hoc data analysis requests to support business initiatives.
• Follow established data governance policies and best practices.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in SQL is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of Excel or Google Sheets for data manipulation and analysis.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills, with the ability to work effectively in a team.
• Self-motivated and eager to learn new technologies and methodologies in a remote environment.
• Prior internship experience in data analysis or a related field is advantageous.

• 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.

Job Purpose

Providing technical support to end users regarding computer problems such as identifying the source of the problem and recommending solutions. Responsible for Perform equipment/systems installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and resolve complex system problems or technical deficiencies.

Designing and implementing new computer systems and networks, including creating detailed blueprints of existing systems for future references.

Key Accountabilities:

• Providing technical support to end users regarding computer problems such as identifying the source of the problem and recommending solutions
• Contributes technical expertise to develop, deliver, build and enhance the quality of solutions, applying appropriate security controls, that are fit for purpose and in alignment with IT department policies and procedures
• Providing technical support for computer applications and operating systems used by the organization
• Manage change across the function to ensure effective processes are in place that support the adoption of new trends, developments, and technologies to deliver highly scalable systems across multiple components of the network
• Installing new software or making changes to existing software based on client requests or company policies
• Ensure 100% compliance of InfoSec policy guidelines for Cameroon SEZ and other Arise entities users.
• Performing regular maintenance on end device, servers, firewalls and other equipment to ensure optimal performance
• Helping users with technical issues related to their computer usage, including installing new software or upgrading existing software
• Ensuring that computer networks are secure by monitoring activity and performing checks for intrusions or viruses
• Support end-to-end development through build, release, maintenance and enhancement, to deliver high quality products, systems, processes, technologies and/or services which are thoroughly tested and optimized.

Experience & Educational Requirements:

EDUCATIONAL QUALIFICATIONS:

• Bachelor's degree in computer science or information technology
• Master's degree in IT with 3 years of experience
• Having professional industry Certifications related to IT related to Security, Cisco, ITIL, Server Administration, Fortinet, MCP (would be advantage)

RELEVANT EXPERIENCE:

(no. of years of technical, functional, and/or specific exposure required)

• 3-4 years of experience working in the IT at a recognized company.
• Specific skills on Microsoft environment & M365
• Deep understanding of IT system hardware, software troubleshooting and maintenance
• Advance knowledge in networking technology and exposure in WiFi/fiber cable networking
• Ability to communicate effectively in English (written and verbal)
• Should possess organizational skills such as Problem solving, critical thinking, creativity and leadership skills.
• Team player

Org. Setting and Reporting

Responsibilities
The United Nations Human Settlements Programme (UN-Habitat) is mandated by the UN General Assembly to promote socially and environmentally sustainable towns and cities. UN-Habitat is the focal point for all urbanization and human settlement matters within the UN system. UN-Habitat works with partners to build inclusive, safe, resilient and sustainable cities and communities. UN-Habitat promotes urbanization as a positive transformative force for people and communities, reducing inequality, discrimination and poverty. External Relations Strategy, Knowledge and Innovation Division (ERSKI) is responsible for strategic planning, programmatic direction and operationalization of UN-Habitat's focal point role for the New Urban Agenda and the Sustainable Development Goal 11 in the UN system. The Knowledge and Innovation Branch is responsible for leading the development of UN-Habitat's flagship reports, the gathering and reporting on urban data through its Data and Analytic Section, and the production of cutting-edge knowledge and innovation on cities, the processes of urban development and urbanization and its associated effects. The position is located in the Innovation Unit of the Knowledge and Innovation Branch, located within the External Relations, Strategy, Knowledge and Innovation Division (ERSKI) of UN-Habitat at its headquarters in Nairobi, Kenya. Under the direct supervision of the Chief of the Knowledge and Innovation Branch, the incumbent will be responsible for the following duties:

Competencies

Education

Job - Specific Qualification

Work Experience

Languages

Assessment

Special Notice

United Nations Considerations

No Fee

Apply Now

Reports to: Senior Manager - Data Engineering & Architecture.
Location(s): Nairobi, Kenya.
About Living Goods
Living Goods endeavours to improve access to essential healthcare services in underserved regions, particularly in sub-Saharan Africa. We empower Community Health Workers (CHWs) with digital tools that enable them to deliver door-to-door care. CHWs use a mobile app to track pregnancies, diagnose and treat common infectious diseases like malaria and pneumonia, monitor disease outbreaks, and follow up with families. Real-time data also supports performance monitoring and impact assessment. By integrating tech-based solutions into community health systems, Living Goods fosters better health outcomes, demonstrating the power of digital health in transforming healthcare delivery in resource-constrained settings.

Purpose Of The Role
We are looking for a
Data Engineer
to participate in the design, development, and management of our data warehousing infrastructure. This role involves building and maintaining data pipelines, managing both relational and non-relational databases, optimizing queries, and transforming raw data into structured data for analysis and reporting.

The successful candidate will collaborate closely with the program, MLE, product management, and software engineering teams to understand data requirements and oversee the implementation of suitable solutions to ensure stakeholders' needs are satisfied.

Embedded within the Digital Health Team, this role will report to the Senior Manager, Data Engineering & Architecture. The ideal candidate will bring extensive expertise in Transactional Databases, Data Warehouses, and BI reporting systems.

Roles And Responsibilities

• Participate in the design, implementation, and maintenance of data pipelines by performing extraction, transformation, and loading activities from structured and unstructured data sources into a data warehouse.
• Design and Build Data models – star schema, snowflake. Understand common analytical data models like Kimball. Build physical data models and align with best practice and requirements.
• Design, develop, and optimize complex SQL queries to support data discovery, analysis, and reporting. Leverage SQL to ensure accurate data staging and transformation processes that align with business requirements.
• Conduct thorough data discovery to identify and address data quality issues, ensuring that the data is accurate, complete, and accessible for business needs.
• Monitor system logs for errors and performance issues; troubleshoot and resolve issues as they arise. Conduct day-to-day system checks and maintenance tasks to ensure system availability.
• Develop BI technical documentation – data dictionaries, definitions, data flows, database schemas, data model diagrams, Entity Relationship Diagrams (ERDs), etc.
• Collaborate with BI developers and users to understand business rules, capture requirements, develop user stories and write technical/functional specifications based on conceptual design and stated business requirements.
• Assist across internal teams to define excellence in data governance, privacy, and security.

Skills & Competencies:

• 3+ years experience as a Data Engineer.
• Demonstrated experience in implementing data pipelines/ETL into data warehouses and data querying and analysis using cloud-based solutions such as AWS Redshift or Snowflake.
• Proficiency in SQL & Python for advanced querying, data manipulation, and performance optimization.
• Experience with ETL tools like AWS Glue, Airbyte or Talend for building automated data pipelines.
• Strong knowledge of data modeling and transformation using tools like dbt.
• Hands-on experience with workflow automation tools such as Airflow.
• Expertise in managing CouchDB or PostgreSQL databases, including schema management, performance tuning, and complex queries.
• Extensive data warehouse experience, with skills in performance tuning, query optimization, indexing, and data integrity management.
• Proficiency in using BI tools such as Tableau, Power BI, or Superset for creating reports and dashboards.
• Strong understanding of data governance, security, and compliance best practices in cloud environments.
• Soft Skills: Teamwork, Collaboration, Problem - solving, Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

Minimum Qualifications:

• A Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or a related discipline.
• Professional certifications or equivalent experience in data management, ETL processes, data warehousing, data visualization, and managing large and complex datasets.

Compensation
A competitive salary and benefits package commensurate with experience including health insurance and bonus opportunity. The opportunity to be your best while making lives better for those in need.

Living Goods is an equal opportunity employer and will consider every qualified applicant for employment. Living Goods does not discriminate based on race, ethnicity, national origin, ancestry, religion, gender, sexual orientation or disability.
Our current job openings are displayed on our website, where you can search for open positions and apply directly. Living Goods does not offer any positions without an interview and never asks candidates for money. If you are asked for money, we strongly recommend that you do not respond and do not send money or personal information.

Job Purpose

• The Data Engineer will design, develop, and maintain robust, scalable, and secure data pipelines and infrastructure that support data-driven decision-making across the bank.
• The Data Engineer will ensure efficient data ingestion, transformation, and storage from multiple banking systems, enabling timely access to accurate data for analytics, regulatory compliance, and operational reporting.

Strategic
Key Responsibilities:

• Enable Data-Driven Decision Making - Ensure reliable, scalable infrastructure to support analytics, machine learning, and business intelligence across the company.
• Modernize Data Infrastructure - Transition to scalable, and real-time platforms.
• Ensure Data Governance and Security - Design systems that comply with data privacy laws and internal governance policies.
• Support Scalability and Future Growth - Build systems that support exponential growth in data volume, variety, and velocity.

Initiatives

• Data Architecture - Build and maintain data models, data lakes, and data warehouses tailored to banking use cases.
• Implement ETL/ELT Pipelines - Design, develop, and optimize robust ETL/ELT pipelines to ingest data from internal banking systems (core banking, CRM, transactions, etc.) and external source.
• Establish Data Quality Frameworks - Introduce data validation, lineage, and anomaly detection to improve trust in data.

Operational

• Maintain and Monitor Data Pipelines - Ensure pipelines are running reliably, on schedule, and are monitored for failures.
• Optimize Query and Pipeline Performance - Tune SQL queries, job runtimes, and storage formats to reduce costs and latency.
• Handle Data Issues and Incidents - Respond to pipeline failures, data discrepancies, and outages swiftly.
• Document Data Architecture and Flows - Maintain updated documentation to assist new engineers, analysts, and stakeholders.
• Collaborate with Stakeholders - Work closely with data analysts, data scientists, product teams, and DevOps for cross-functional initiatives.

Key Responsibilities

• Data Pipeline Development - Design, build, and maintain ETL pipelines for ingesting and processing data and automate data workflows using orchestration tools.
• Data Architecture & Modeling - Design scalable data architectures and define and enforce data standards and naming conventions.
• Data Integration - Integrate data from multiple sources and build connectors to internal and external systems.
• Security & Compliance - Ensure data security, encryption and compliance with data governance and regulations.
• Support for Analytics Prepare and expose data to analysts and BI tools. Optimize queries and storage formats for analytical performance and build data marts and materialized views tailored for business reporting.
• Monitoring & Optimization - Monitor pipeline performance, latency, and failures.
• Troubleshoot and resolve data flow issues quickly.

Academic Qualifications

• BS/BA Degree preferably Computer Science, Information Systems or related field.
• Professional Qualifications / Membership to professional bodies/ Publication.
• (Desirable) AWS Certified Data Analytics.
• (Desirable) Azure Data Engineer Associate.

Work Experience Required

• 5+ years of experience as a data engineer or in a similar role, preferably in financial services or banking.
• Strong experience on database development and data model design.

Competencies

• Strong in Python and SQL (core languages for data manipulation).
• Familiarity with data warehousing solutions (star/snowflake schemas, normalization).
• Hands-on with modern data warehouses.
• Experience with both relational and NoSQL databases.
• Familiarity with big data tools and platforms.
• Strong understanding of data security, compliance, and banking regulations
• Strong analytical and problem-solving skills.
• Solid business and collaboration skills, and responsive to service needs and operational demands.
• Attitude to thrive in a fun, fast-paced environment.