5 Data Visualization jobs in Nairobi

Location: The African Union Inter – African Bureau for Animal Resources (AU-IBAR), Nairobi, Kenya
Organization: African Union Commission – AUC br>AU Values


Respect for Diversity and Team Work.
hink Africa above all.
Transparency and Accountability.
Integrity and Impartiality.
Efficiency and Professionalism.
Information and Knowledge Sharing.

Organization Information
Reports to: Project Officer Resilient African Feeds and Fodder Systems (RAFFS) Project
Directorate/Department: Agriculture, Rural Development, Blue Economy and Sustainable Development
Division: AU-IBAR
Number of Direct Reports: 0
Number of Indirect Reports: 0
Job Grade: P3
Number of Positions: 01
Contract Type: Short Term/Consultancy
Location: Nairobi, Kenya
Purpose
The African Union Inter-African Bureau for Animal Resources (AU-IBAR) is a specialized technical office of the Department Agriculture, Rural Development, Blue Economy and Sustainable Environment (DARBE) of the African Union Commission (AUC). The vision of AU-IBAR is: “An Africa in which animal resources contribute significantly to integration, prosperity and peace”. Its Mission is: to provide leadership and integrated support services for the development of animal resources in Africa.
AU-IBAR is implementing an emergency three-year action titled “Evidence Driven Short Term Solutions to Build Resilience and Address the Adverse Effects of Crises on African Feed and Fodder Systems”, with short title of Resilient African Feed and Fodder System (RAFFS). The purpose of RAFFS action is “to understand the impact of the Triple Global Crises (3C’s: Climate-Change, Covid-19, and Russia-Ukraine Conflict Crisis) on feed and fodder systems, and to build systematic capacities for data analytics for evidenced based decision making; policy, regulatory and institutional reform; and promotion of viable business and partnership models and solutions to address the vulnerabilities of Africa’s feed and fodder systems.
The P oject Goal is to respond to the worsening food and nutrition security occasioned by recent crises that have negatively impacted on African feed and fodder systems and production of animal sourced foods.” < r>Purpose: To harness evidence driven solutions for short term interventions to enhance access to affordable and quality feed and fodder critical to ensuring sustainable production of animal sourced foods
The position of the Information Systems and Data Analytics Expert will support delivery of the Resilient African Feed and Fodder Systems Project through analytical capacity, providing and facilitating innovative data management, data infrastructure solutions, data management ecosystems and capacities upgrades. The successful candidate will work with the Animal Production, Natural Resource Management and Resilience Expert to coordinate the establishment of a Knowledge and Analytical Ecosystem for Informing Evidence Based Solutions including developing or finalizing reports of the assessments on impact of the recent and on-going global crises on the African feed and fodder systems, data management processes and support the implementation of strategies to ensure the data analytics are deployed through dashboards and data as a service digital applications and other pathways.
Main Functions


Undertake data an lytics to support decision making and policy reform.
Support the implementation of the harmonized and or standardized data indicators, data management strategies in the feed and fodder sub-sector.
Support improvement in systemic capacities in data ecosystems including architecture, governance and management processes.
Provide technical support and mentoring for improved digital capacities.
Ensure the requisite digital infrastructure, institutional and technical capacities are built for operationalization of feed and fodder data information systems.
Support evolution of capacities to generate dashboards and to operate functional data as a service business digital applications.
Coordinate reporting on large-scale studies and assessments in multiple Member States and Regional Economic Communities (RECs) in the livestock sector.

Specific Responsibilities


Promote operationalization of data management platforms and ecosystems at national levels, and integration at regional and continental levels.
Take lead in working with the Member States in consultative processes to support implementation of country-action plans for improved data management systems for enhanced capacities to respond to feed and fodder shortages.
Improvement and support of integrated multi-actor data infrastructure upgrade and capacity development for the implementing Member States.
Build systemic capacity for data analytics for decision making, policy, regulatory and institutional reform and attracting increased investment.

Promote sustainable planning and data management of the feed and fodder sub-sector ecosystems.


Facilitate capacities for development of functional dashboards and data as a service business digital applications.
Facilitate institutionalization of the data ecosystem for sustainability.
Support analytics and reporting on the RAFFS Project large scale assessments.
Submit a monthly progress report on the implementation of this contract

Academic and Professional qualifications


A minimum of post-graduate University degree (Master’s degree) in Computer Science or Information Technology or related degree. A PhD will be considered as an added advantage. < r> P ofessional qualification in Data Science or Statistics.
Any other relevant industry professional certification (e.g. System Engineer, Digital Transformation, etc).

Relevant Experience.
Minimum of five (5) years of progressive work experience in the field of digital innovation, digital strategies, digital change management and corporate ICT services in agriculture/livestock industry.
Proven experience in implementing Big Data analytics project (s).
Minimum of five (5) years’ experience at senior level and in managing complex agriculture and livestock data process. < r> E perience in identification and application of digital innovation and technologies in agriculture or livestock industry.
Experience in managing agricultural data as a service, including advancing the use of mobile applications.

Required Skills and Competencies


Good networking skills and ability to maintain positive and constructive dialogue and relationships with key institutions operating in the regions.
Self-starter with the ability to strategically plan own work and follow-up on implementation.
Sector-related project development, management and implementation skills at national, regional and continental levels.
Very strong writing, analytical and communication skills are necessary.
Ability to complete assignments and tasks on time.
A demonstrated ability to provide strong leadership and foster a team environment is required.

Competences
Strategic Perspective
Developing Others
Change Management
Managing Risk
Building Relationships
Learning Orientation
Communicating with impact
Functional Competencies
Conceptual Thinking
Job Knowledge and information sharing
Drive for Results
Fosters Innovation
Duration
The consultancy will be for a period of six (6) months.
Gender Mainstreaming
The AU Commission is an equal opportunity employer and qualified women are strongly encouraged to apply.
Languages
Proficiency in one of the AU working languages (Arabic, English, French, Kiswahili, Portuguese, and Spanish) and fluency in another AU language is an added advantage.
Evaluation Criteria
Criteria Scores (%)
Qualifications 15
Relevant Experience 50
Required Skills and competencies 30
Language 5
Total 100
Remuneration
The monthly remuneration for this Consultancy as per the AU Salary Grade at P3 Step 5. Expenses for missions will be covered separately in accordance with the applicable African Union Commission rules and regulations.
Expenses for travel outside the duty station agreed with AU-IBAR, will be covered separately in accordance with the applicable African Union Commission rules and regulations.
Medical and Travel Cover for Consultant
The consultant will be responsible for his/her medical and travel insurance cover/s during the duration of the consultancy.
Duty Station
The consultant will be stationed in AU-IBAR offices in Nairobi, Kenya. Applicants should ensure that they have the capacity (logistics, permits etc.) to undertake this assignment from Nairobi.
Travel on specific assignments will be agreed with the AU-IBAR Management.
Supervision and Reporting
The successful candidate will be under the direct supervision of the Project Officer and overall supervision by the Director of AU-IBAR.


How to apply
Submission of Applications
Applications should be submitted through email to: with a copy to should include the title “Information Systems and Data Analytics Expert” in the subject of the email.
Applications should be submitted to the address given above by 23:45, 23rd September 2025, Nairobi local time.
Applications should include the following


Let er of Interest highlighting competence and suitability for the Position
Detailed curriculum vitae
Copies of academic and professional qualifications
Completed declaration on exclusion criteria in the format attached
Copies of identification documents

A Personal Data Protection and Privacy Statement is also attached as information for the applicants.
Documents
Terms of Reference (English Version)
AU-IBAR Personal Data Protection and Privacy Statement
AU-IBAR Declaration Form

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Key responsibilities include:

• Assisting in the collection and organization of data from various sources.
• Performing data cleaning and preprocessing to ensure data accuracy and integrity.
• Conducting basic data analysis using statistical methods and tools.
• Creating reports and dashboards to visualize data and present findings.
• Identifying trends, patterns, and anomalies in data sets.
• Collaborating with senior analysts and business stakeholders to understand data needs.
• Supporting the development and maintenance of business intelligence solutions.
• Documenting data analysis processes and methodologies.
• Participating in team meetings and contributing to analytical projects.
• Learning and applying new data analysis techniques and tools.

This is a hybrid role, offering a blend of remote work and occasional office presence for team collaboration. We are seeking candidates who have completed a degree in Statistics, Mathematics, Economics, Computer Science, Business, or a related field. While prior professional experience is not strictly required, internship experience or personal projects involving data analysis are a plus. Proficiency in Microsoft Excel and a basic understanding of SQL are desirable. Familiarity with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is an advantage. Strong analytical thinking, problem-solving abilities, and a keen attention to detail are essential. Excellent written and verbal communication skills are required for reporting and team interaction. If you are a motivated individual looking to kick-start your career in data analysis within a supportive and flexible hybrid environment, we encourage you to apply.

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Responsibilities:

• Analyze geological data from various sources, including boreholes, geophysical surveys, and surface mapping.
• Interpret subsurface geological structures, lithology, and mineralization.
• Develop and maintain 3D geological models using specialized software (e.g., Leapfrog, Micromine, Vulcan).
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• Collaborate with exploration and mine engineering teams to optimize drilling programs and sampling strategies.
• Prepare technical reports, geological assessments, and presentations for internal and external stakeholders.
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• Assist in the development of mine plans and production forecasts based on geological models.
• Ensure the quality and integrity of geological data through rigorous validation processes.
• Stay updated on the latest advancements in geological software, techniques, and industry best practices.
• Provide geological input for environmental impact assessments and permitting processes.
• Mentor junior geologists and contribute to team knowledge sharing.
• Conduct remote site visits or virtual site reviews when required.
• Contribute to the company's understanding of regional geology and mineral systems.

Qualifications:

• Bachelor's or Master's degree in Geology, Earth Sciences, or a related field.
• Minimum of 7 years of experience in exploration or mining geology.
• Proven expertise in geological data analysis, interpretation, and modeling.
• Proficiency with industry-standard geological modeling software (e.g., Leapfrog Geo, Vulcan, Micromine).
• Strong understanding of resource estimation methodologies and reporting codes.
• Experience with geophysical data interpretation and integration.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey complex geological concepts clearly.
• Ability to work independently and manage time effectively in a remote setting.
• Familiarity with GIS software (e.g., ArcGIS, QGIS) is a plus.
• Experience in project management or leading geological projects.
• Knowledge of mineral processing and extraction techniques is advantageous.
• A valid driver's license and willingness to travel occasionally for site reviews.

This is an exciting remote opportunity for a skilled geologist to make a significant contribution to mining operations and exploration efforts in the **Malindi, Kilifi, KE** region.

Our client is a cutting-edge life sciences research institution seeking a highly accomplished Senior Bioinformatics Scientist to lead complex genomics data analysis projects. This fully remote position offers an exciting opportunity to contribute to groundbreaking scientific discoveries using advanced computational tools and methodologies. You will be responsible for designing and implementing bioinformatics pipelines, analyzing large-scale genomic datasets (e.g., WGS, WES, RNA-Seq), and interpreting results to support research objectives. Key responsibilities include developing novel algorithms, establishing data quality control procedures, and visualizing complex biological data. The ideal candidate will possess a deep understanding of molecular biology, genetics, and statistical genomics, coupled with strong programming skills in languages such as Python, R, and Perl. Experience with high-performance computing environments and cloud platforms (AWS, GCP, Azure) is essential. You will collaborate closely with biologists, clinicians, and other researchers, providing expertise in data analysis and interpretation. This role demands exceptional analytical and problem-solving skills, with the ability to identify and address complex bioinformatics challenges. Strong communication and presentation skills are crucial for disseminating research findings to both scientific and non-scientific audiences. A proven track record in publishing peer-reviewed articles and contributing to grant proposals is highly desirable. You will also be involved in mentoring junior scientists and contributing to the development of bioinformatics infrastructure. This position offers a unique opportunity to make a significant impact on scientific advancement within a dynamic, remote-first research environment. Your passion for data-driven discovery and commitment to scientific rigor will be key to your success.

Key Responsibilities:

• Design, develop, and implement robust bioinformatics pipelines for genomics data analysis.
• Analyze large-scale genomic datasets, including whole genome, exome, and RNA sequencing data.
• Perform statistical analysis and interpretation of biological data.
• Develop and apply machine learning algorithms for biological insights.
• Ensure data quality control and integrity throughout the analysis process.
• Collaborate with experimental biologists and clinicians on research projects.
• Visualize complex biological data for effective communication of results.
• Contribute to the development of new analytical methods and tools.
• Mentor junior bioinformaticians and research staff.
• Prepare manuscripts for publication and present findings at scientific conferences.

Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 5 years of post-doctoral or industry experience in bioinformatics.
• Extensive experience with genomics data analysis (WGS, WES, RNA-Seq).
• Proficiency in programming languages such as Python, R, and Perl.
• Strong understanding of statistical methods and machine learning in biology.
• Experience with high-performance computing (HPC) and cloud environments.
• Knowledge of molecular biology and genetics principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills.
• Ability to work independently and lead research initiatives in a remote setting.