What Jobs are available for Information Management in Kenya?

Applications are welcome from internal and external candidates. For all IOM vacancies, applications from qualified and eligible first-tier candidates are considered before those of qualified and eligible second-tier candidates in the selection process. For the purpose of this vacancy, internal candidates are considered first-tier candidates.

The International Organization for Migration (IOM) is the UN Migration Agency. With 174 Member States, it is committed to the principle that humane and orderly migration benefits migrants and society. Established in 1951 and now active in over 400 field locations worldwide, IOM works with partners, government, and civil society to:

• Assist in meeting the operational challenges of migration and mobility
• Advance understanding of migration issues,
• Encourage social and economic development through migration; and
• Uphold the human dignity and well-being of migrants (including Internally Displaced Persons, refugees, asylum seekers), and other mobile populations.

IOM's Regional Office for the East, Horn and Southern Africa oversees, plans, coordinates and supports IOM activities within the region. Through a team of specialists, the Regional office is responsible for project review and endorsement and provides technical support to Country Offices in the region which include Angola, Botswana, Burundi, Comoros, Democratic Republic of Congo, Djibouti, Eritrea, Eswatini, Ethiopia, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Republic of Mauritius (also covering Seychelles), Rwanda, Somalia, South Africa, South Sudan, Tanzania, Uganda, Zambia and Zimbabwe particularly in the area of project development, project implementation, monitoring and evaluation, resource mobilization, resource management, liaison coordination with regional and sub-regional governments, United Nations agencies and other key partners.

The overall Better Migration Management Programme is a regional, multi-year, multi-partner programme co-funded by the EU Trust Fund for Africa and the German Federal Ministry for Economic Cooperation and Development (BMZ) coordinated by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). IOM is one the main implementing partners for the programme along with UNODC and CIVIPOL.

This two-year project will be implemented in the following countries – Djibouti, Ethiopia, Kenya, Somalia, and South Sudan.

The Better Migration Management (BMM) programme aims to improve migration management in the region, and in particular, to address Trafficking in Persons (TiP) and Smuggling of Migrants (SoM) from and within the East and Horn of Africa (EHoA) region. More specifically, the programme is expected to strengthen national and regional migration governance in accordance with the global and regional frameworks; increase national and cross-border cooperation on trafficking and smuggling cases between investigation, prosecution, courts and other state as well as non-state actors in accordance with international standards; and improve the prevention of trafficking in persons and protection of vulnerable migrants at local, national and regional level ensuring appropriate assistance and support for victims of trafficking in human beings, taking into accounts the gender specificity of the phenomenon and the particular vulnerability of women and children.

Under the direct supervision of the Senior Regional Programme Manager (BMM), the incumbent will provide technical support in the implementation of the BMM programme by assisting in the coordination, implementation, monitoring, and reporting of activities under the IBG component of the BMM programme.

• Support data collection, management, analysis, reporting, and information exchange with BMM partners to inform the development of annual response plans.
• Contribute to the development of tools and coordination with partners to collate and analyze mixed migration data, supporting evidence-based planning.
• Provide training support to partners on data tools, including the DMV Toolbox—assist in the preparation of training materials and presentations, and maintain client-oriented support to resolve technical issues and provide user guidance.
• Assist in establishing data collection mechanisms, developing tools, and coordinating with partners to support quality control for monitoring and reporting on BMM achievements, including programme outputs and donor funding, in line with the monitoring framework.
• Draft graphs, visuals, and layouts for publications
• In close collaboration with the BMM Coordinator, IOM Country BMM focal points, and partners, support the regular publication of situation reports on BMM activities, as well as other visibility and information products.
• Consolidate country-level information for the BMM framework and projects to promote consistency and coherence across the region; support monitoring and supervision of data collection processes and overall data management, including encoding, storing, transferring, processing, and analyzing collected data and information.
• Contribute to the preparation of BMM briefings, and support information sharing and dissemination across all relevant channels.
• Serve as the focal point for communication and visibility of the BMM programme, supporting consistent messaging, branding, and outreach to partners, donors, and stakeholders.
• Perform other related duties as assigned

Education

• High school diploma with six (6) years of relevant experience; or,
• Bachelor's degree in Social Sciences, Business Administration, or Law or related fields from an accredited academic institution with four (4) years of relevant professional experience

Accredited Universities are those listed in the UNESCO World Higher Education Database.

Experience

• Experience in programme support, information management, data analysis, or monitoring and evaluation, preferably in migration management or humanitarian contexts.
• Experience in organizing and supporting training sessions for partners and stakeholders, including data tools (e.g., DMV Toolbox) and border management systems.
• Practical experience in data collection, management, visualization, and reporting, including the use of Excel, Power BI, and other relevant tools.
• Experience in preparing information and visibility products, such as situation reports, dashboards, infographics, and donor briefings.
• Work experience with UN agencies, international organizations, or NGOs in project implementation, monitoring, or reporting.
• Experience liaising and coordinating with government counterparts, donors, and international partners.
• Knowledge and practical experience in social media communication strategies and visibility for donor-funded programmes is an asset.

Skills

• Ability to analyse and interpret statistical information.
• Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint) and Internet Explorer and familiarity with Power BI and Adobe applications is required.
• Ability to work effectively with colleagues from diverse cultures and professional backgrounds.
• Strong communication, organizational, and interpersonal skills.
• Good team player, and able to follow up on tasks independently.
• Ability to meet deadlines and work under pressure with minimum supervision.
• Ability to support the development of communication and visibility products, including through social media strategies.
• Skills in preparing and conducting training sessions and capacity-building workshops for partners and stakeholders

Language

IOM's official languages are English, French and Spanish.

For this position, fluency in English (oral and written) is required.

Any other UN Official language is advantageous.

Required Competencies
IOM's competency framework can be found at this link. Competencies will be assessed during the selection process.

Values - all IOM staff members must abide by and demonstrate these three values:

• Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.
• Integrity and transparency: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.
• Professionalism: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.
• Courage: Demonstrates willingness to take a stand on issues of importance.
• Empathy: Shows compassion for others, makes people feel safe, respected and fairly treated.

Core Competencies – behavioural indicators (Level 2)

• Teamwork: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.
• Delivering results: Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.
• Managing and sharing knowledge: Continuously seeks to learn, share knowledge and innovate.
• Accountability: Takes ownership for achieving the Organization's priorities and assumes responsibility for own actions and delegated work.
• Communication: Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.

Managerial Competencies – behavioural indicators (Level 2) (applicable only if position is with direct reports)

• Leadership: Provides a clear sense of direction, leads by example and demonstrates the ability to carry out the Organization's vision. Assists others to realize and develop their leadership and professional potential.
• Empowering others: Creates an enabling environment where staff can contribute their best and develop their potential.
• Building Trust: Promotes shared values and creates an atmosphere of trust and honesty.
• Strategic thinking and vision: Works strategically to realize the Organization's goals and communicates a clear strategic direction.
• Humility: Leads with humility and shows openness to acknowledging own shortcomings.

Notes

• Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation.
• This selection process may be used to staff similar positions in various duty stations. Recommended candidates will remain eligible to be appointed in a similar position for a period of 24 months.
• This post is subject to local recruitment. Only those holding a valid residence and work permit for the country where this position is based will be eligible for consideration.
• Appointment will be subject to certification that the candidate is medically fit for appointment, verification of residency, visa, and authorizations by the concerned Government, where applicable.
• IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities.
• IOM does not charge a fee at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.
• IOM only accepts duly completed applications submitted through the IOM online recruitment system. The online tool also allows candidates to track the status of their application.

For further information and other job postings, you are welcome to visit our website: IOM Careers and Job Vacancies

• Job Identification 16715
• Job Category Other
• Posting Date 09/24/2025, 11:40 AM
• Locations Nairobi, KE
• Apply Before 09/30/2025, 08:59 PM
• Job Schedule Full time
• Job Shift Day
• Contract Type Fixed-term (1 year with possibility of extension)
• Initial Contract Duration 1 year
• Vacancy Type Vacancy Notice
• Recruiting Type General Service
• Grade G-6

• Develop and maintain key performance indicators (KPIs) and dashboards to monitor the health and efficiency of the supply chain and warehousing operations.
• Analyze vast datasets related to inventory levels, transportation costs, order fulfillment, and delivery performance to identify trends, bottlenecks, and areas for improvement.
• Design and implement predictive models for demand forecasting, inventory optimization, and network design.
• Collaborate with logistics, operations, and IT teams to define data requirements and ensure data integrity for analysis.
• Provide actionable insights and strategic recommendations to senior management regarding supply chain strategy, cost reduction initiatives, and service level improvements.
• Utilize advanced analytics and business intelligence tools (e.g., SQL, Python, R, Tableau, Power BI) to extract, manipulate, and visualize data.
• Evaluate the effectiveness of current logistics strategies and propose innovative solutions to enhance performance.
• Manage and mentor a team of supply chain analysts, fostering a culture of data-driven decision-making within a remote structure.
• Conduct scenario planning and simulation to assess the impact of potential changes to the supply chain network or operational processes.
• Stay current with emerging trends and technologies in supply chain analytics and logistics optimization.

• Bachelor's or Master's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field.
• Minimum of 6 years of experience in supply chain analysis, logistics, or operations management, with a strong focus on data analytics.
• Proven expertise in data analysis tools and programming languages such as SQL, Python, or R.
• Proficiency with business intelligence and data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of supply chain principles, including inventory management, warehousing, transportation, and demand planning.
• Experience with forecasting models and optimization techniques.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Strong communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences.
• Demonstrated leadership and team management experience.
• Ability to thrive in a fast-paced, autonomous, and fully remote work environment.

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.

• Develop and implement advanced analytical models to optimize supply chain and warehousing operations.
• Lead the collection, cleaning, and analysis of large datasets from various supply chain sources.
• Identify key performance indicators (KPIs) and create comprehensive dashboards for monitoring supply chain health.
• Conduct root cause analysis for supply chain disruptions and performance deviations.
• Develop demand forecasting models to improve inventory accuracy and reduce stockouts/overstocking.
• Optimize transportation routes and logistics networks for cost and efficiency.
• Collaborate with operations teams to enhance warehouse layout, workflow, and resource allocation.
• Utilize statistical software, machine learning techniques, and data visualization tools to derive insights.
• Present complex analytical findings and actionable recommendations to senior leadership.
• Mentor and guide a team of junior analysts and supply chain professionals.
• Stay abreast of industry trends and emerging technologies in supply chain analytics.
• Drive continuous improvement initiatives based on data-driven insights.

• Master's degree in Supply Chain Management, Operations Research, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in supply chain analytics, logistics, or operations management, with at least 3 years in a management capacity.
• Proven expertise in statistical analysis, predictive modeling, and data mining techniques.
• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Scikit-learn), R, SQL, Tableau, or Power BI.
• Strong understanding of supply chain principles, including inventory management, forecasting, and transportation.
• Excellent leadership, communication, and presentation skills.
• Ability to translate complex data into clear, actionable business recommendations.
• Experience in managing remote teams and projects is highly advantageous.

• Developing and implementing a comprehensive people analytics strategy aligned with organizational goals.
• Designing, building, and maintaining HR dashboards and reports using various BI tools.
• Conducting advanced statistical analyses on employee data, including predictive modeling and trend forecasting.
• Identifying key HR metrics and KPIs to measure the effectiveness of HR programs and initiatives.
• Translating complex data findings into clear, concise, and actionable insights for leadership and HR teams.
• Collaborating with HR business partners and functional leaders to understand their data needs and provide analytical support.
• Ensuring data accuracy, integrity, and compliance with privacy regulations.
• Staying current with the latest trends and technologies in HR analytics and data science.
• Developing and delivering training sessions on HR data interpretation and utilization.
• Driving a data-centric culture within the HR department and the wider organization.

• Develop and implement advanced analytics strategies to optimize supply chain operations, including inventory management, transportation, and warehousing.
• Design, build, and maintain comprehensive dashboards and reports to track key performance indicators (KPIs) across the supply chain.
• Utilize statistical modeling and machine learning techniques to forecast demand, identify trends, and predict potential disruptions.
• Analyze complex datasets to identify opportunities for cost reduction, efficiency improvements, and service level enhancements.
• Collaborate closely with logistics, warehousing, and operations teams to understand their analytical needs and provide data-driven solutions.
• Develop and implement data quality standards and ensure the accuracy and reliability of supply chain data.
• Present findings and recommendations to senior management and cross-functional teams, translating complex data into clear business insights.
• Stay abreast of the latest advancements in supply chain analytics tools and methodologies.
• Mentor and guide junior analysts within the remote team.
• Champion a data-driven culture throughout the supply chain organization.

• Master's degree in Supply Chain Management, Data Science, Statistics, Operations Research, or a related quantitative field.
• A minimum of 7-9 years of experience in supply chain analytics, operations research, or a similar analytical role.
• Proven experience in developing and implementing advanced analytical models and dashboards for supply chain optimization.
• Expertise in data analysis tools and programming languages such as SQL, Python, R, and BI tools (e.g., Tableau, Power BI).
• Strong understanding of supply chain processes, including inventory management, warehousing, transportation, and logistics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to effectively convey complex data insights to diverse, remote audiences.
• Experience working with large datasets and distributed data platforms.
• Ability to work independently, manage multiple projects, and prioritize effectively in a remote setting.
• Experience in predictive modeling and forecasting techniques is highly desirable.
• Knowledge of supply chain operations relevant to the region of Thika, Kiambu, KE would be an asset.

• Leading and mentoring a team of sports analysts.
• Developing and implementing advanced analytical models for athlete and team performance.
• Designing data collection protocols and ensuring data integrity.
• Identifying key performance indicators and providing strategic recommendations.
• Translating complex data findings into clear, actionable insights for coaches and athletes.
• Collaborating with sports science, coaching, and medical staff.
• Staying current with the latest trends in sports analytics and technology.
• Presenting findings and recommendations to senior management.
• Managing the analytics technology stack and ensuring its effectiveness.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
• At least 8 years of experience in sports analytics, with a significant portion in a leadership role.
• Expertise in statistical modeling, machine learning, and predictive analytics.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with sports-specific data sources and analytical techniques.
• Strong understanding of athletic performance principles and various sports.
• Excellent leadership, communication, and presentation skills.
• Proven ability to work effectively in a fully remote and collaborative environment.