903 Senior Researchers 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.

• Assist in collecting, cleaning, and transforming large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development of reports, dashboards, and visualizations.
• Learn and apply various data analysis techniques and statistical methods.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Help document data processes and analytical methodologies.
• Contribute to the testing and validation of data models.
• Gain proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Participate in team meetings and contribute ideas for data-driven solutions.
• Present findings and insights to the team.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Basic proficiency in at least one programming language (e.g., Python, R) and SQL.
• Excellent analytical and problem-solving skills.
• Meticulous attention to detail and accuracy.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work independently and manage time effectively in a remote setting.
• Enthusiastic learner with a passion for data and technology.
• Previous internship or project experience in data analysis is a plus.

Job Description
Background
In today's digital environment, the ability to collect, manage, and analyze data is critical to ensuring efficiency, transparency, and strategic decision-making. As part of its digital transformation strategy, UNDP Kenya is investing in improving its ICT capabilities, with a focus on data-driven operations, reporting, and service delivery.

The ICT Department plays a central role in supporting the organization's information systems, technology infrastructure, and data management frameworks. With the increasing volume and complexity of data generated from operational, programmatic, and administrative activities, there is a need for dedicated analytical capacity to support evidence-based planning and performance monitoring.

UNDP Kenya seeks to recruit a Data Analyst Intern/Software Engineer to enhance the extraction of meaningful insights from internal and external datasets, develop visual dashboards using tools like
Power BI
, and support data quality assurance and governance efforts. This role will help bridge the gap between technical data handling and decision-making, contributing directly to more informed strategy and operations across the organization.

Duties And Responsibilities
Under the supervision of the Head of ICT and in close collaboration with the ICT/Finance/Procurement and HR team, the intern will:

• Support the design, development, and maintenance of interactive dashboards and reports.
• Assist in cleaning, transforming, and analyzing data to generate actionable insights.
• Contributes to the automation and optimization of reporting processes.
• Connect to multiple data sources (Excel, SQL databases, APIs, cloud services, etc.).
• Build interactive dashboards and reports using:(Charts (bar, line, pie, Tables and matrices, Slicers and filters, Maps and KPIs)
• Design for user experience: consistent layout, intuitive navigation, color themes.
• Schedule data refreshes via Power BI Service.
• Provide general administrative and ICT support to the ICT unit as required.

Expected Outputs

• Functional and user-friendly Power BI dashboards and reports.
• Cleaned and well-documented datasets.
• Documentation of data sources, transformations, and business logic.
• Weekly status updates and a final presentation/report summarizing work completed.
• Share dashboards with stakeholders and manage access via workspaces and row-level security (RLS).
• Functioning of the CRM

Competencies
Education
Required Skills and Experience

• Currently pursuing or recently completed a degree in IT, Computer Science, Data Science or a related field. (such as a Master's Programme, or higher)
• Currently pursuing or recently completed a degree in Software Engineering
• Be enrolled in the final academic year of a first university degree Programme (such as bachelor's degree or equivalent)
• Have recently graduated with a university degree (as defined in (a) and (b) above) and, if selected, must start the internship within one year of graduation.
• Be enrolled in a postgraduate professional traineeship program and undertake the internship as part of this program.

Experience

• Familiarity with Power BI and basic understanding of DAX and Power Query (M language).
• Proficiency in Microsoft Excel and basic SQL

Equal opportunity
As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority
UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.

Right to select multiple candidates
UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Scam alert
UNDP does not charge a fee at any stage of its recruitment process. For further information, please see

Nairobi, Kenya

Trending

Job Info

• Job Identification 29312
• Posting Date 09/29/2025, 08:52 PM
• Apply Before 10/06/2025, 03:59 PM
• Job Schedule Full time
• Locations Nairobi, Kenya
• Agency UNDP
• Grade IN
• Vacancy Type Internship Programme
• Practice Area Effectiveness
• Bureau Regional Bureau for Africa
• Contract Duration 6 months
• Education & Work Experience Bachelor's Degree
• Other Criteria degree in IT, Computer Science, Data Science, Software Engineering, or a related field
• Required Languages Fluency in English is required
• Vacancy Timeline 1 Week

Job Description
Background
In today's digital environment, the ability to collect, manage, and analyze data is critical to ensuring efficiency, transparency, and strategic decision-making. As part of its digital transformation strategy, UNDP Kenya is investing in improving its ICT capabilities, with a focus on data-driven operations, reporting, and service delivery.

The ICT Department plays a central role in supporting the organization's information systems, technology infrastructure, and data management frameworks. With the increasing volume and complexity of data generated from operational, programmatic, and administrative activities, there is a need for dedicated analytical capacity to support evidence-based planning and performance monitoring.

UNDP Kenya seeks to recruit a Data Analyst Intern/Software Engineer to enhance the extraction of meaningful insights from internal and external datasets, develop visual dashboards using tools like
Power BI
, and support data quality assurance and governance efforts. This role will help bridge the gap between technical data handling and decision-making, contributing directly to more informed strategy and operations across the organization.

Duties And Responsibilities
Under the supervision of the Head of ICT and in close collaboration with the ICT/Finance/Procurement and HR team, the intern will:

• Support the design, development, and maintenance of interactive dashboards and reports.
• Assist in cleaning, transforming, and analyzing data to generate actionable insights.
• Contributes to the automation and optimization of reporting processes.
• Connect to multiple data sources (Excel, SQL databases, APIs, cloud services, etc.).
• Build interactive dashboards and reports using:(Charts (bar, line, pie, Tables and matrices, Slicers and filters, Maps and KPIs)
• Design for user experience: consistent layout, intuitive navigation, color themes.
• Schedule data refreshes via Power BI Service.
• Provide general administrative and ICT support to the ICT unit as required.

Expected Outputs

• Functional and user-friendly Power BI dashboards and reports.
• Cleaned and well-documented datasets.
• Documentation of data sources, transformations, and business logic.
• Weekly status updates and a final presentation/report summarizing work completed.
• Share dashboards with stakeholders and manage access via workspaces and row-level security (RLS).
• Functioning of the CRM

Competencies
Education
Required Skills and Experience

• Currently pursuing or recently completed a degree in IT, Computer Science, Data Science or a related field. (such as a Master's Programme, or higher)
• Currently pursuing or recently completed a degree in Software Engineering
• Be enrolled in the final academic year of a first university degree Programme (such as bachelor's degree or equivalent)
• Have recently graduated with a university degree (as defined in (a) and (b) above) and, if selected, must start the internship within one year of graduation.
• Be enrolled in a postgraduate professional traineeship program and undertake the internship as part of this program.

Experience

• Familiarity with Power BI and basic understanding of DAX and Power Query (M language).
• Proficiency in Microsoft Excel and basic SQL

Equal opportunity
As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority
UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.

Right to select multiple candidates
UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Scam alert
UNDP does not charge a fee at any stage of its recruitment process. For further information, please see

Required Skills

• Demonstrated interest in Data Analysis using Microsoft Excel and Power BI.

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Data Analyst
to join their dynamic team.

Responsibilities:

• Responsible for supporting digital operations and promoting digital platform operations in Southern African Region and representative offices.
• Lead the end-to-end data lifecycle, from sophisticated data cleansing and modeling to in-depth analysis and visualization, directly supporting frontline business expansion.
• Drive the deployment, adoption, and continuous improvement of digital platforms and data capabilities for digital transformation among representative offices and partners
• Basic understanding on ICT field, with knowledge of the technical architecture and business logic of carrier networks. Familiar with enterprise IT architecture and ICT industry trends is preferred.
• Proficient in data analysis methodologies, statistical principles, and data visualization.

Education Requirement:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• A postgraduate qualification or relevant professional certification (e.g., Microsoft Power BI, Tableau, or Data Analytics) will be considered an advantage.
• Strong verbal and written communication skills.
• Proficient in data manipulation and analysis programming languages (e.g., SQL, Python/R), with a proven ability to architect analytical logic and develop robust data solutions. Hands-on experience with leading BI and visualization tools (e.g., Tableau, Power BI) is highly desirable.
• experience in enterprise knowledge management, as well as designing and executing specialized operational projects is preferred.

Additional:

• English is the working language. Proficiency in Chinese will be considered an advantage.
• Proactive, with strong teamwork skills and able to work well under pressure.

• Nairobi Kenya
• Posted 1 hour ago
• Deadline: 09 October 2025
• Partner: CIFOR-ICRAF

CIFOR-ICRAF
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Under the supervision of the head of SPACIAL the Spatial Data Scientist – Remote Sensing will lead and implement advanced remote sensing analysis tasks, including processing of optical and SAR data, timeseries analysis, and predictive modeling with primary focus on the modeling of temporal dynamics across complex landscapes. The position will support a range of projects and programmes across CIFOR-ICRAF, including Regreening Africa, Knowledge for Great Green Wall Action (K4GGWA). Towards Ending Drought Emergencies (Twende), and upcoming assessments of soil and land health with funding from NORAD.

Duties and responsibilities

Spatial data science

• Optical data processing and analysis, including from sensors such as Sentinel 2 and Landsat 8/9.
• SAR data processing and analysis, primarily Sentinel 1.
• Timeseries analysis, including detection of trends and anomalies in temporal data (vegetation, precipitation, land surface temperatures, etc)
• Predictive modeling of time series data, including forecasting where relevant.
• Applications of machine learning for predictive modeling and mapping of indicators relevant to assessment of ecosystem health using a combination of field data and remote sensing.
• Spatial data analysis tasks, including spatial queries, vector data extraction, processing, and cleaning.
• General data analysis and report writing.
• Supervise a team of junior spatial data scientists and developers.
• Develop communication products/outputs where relevant.

Capacity development

• Lead internal capacity development seminars within CIFOR-ICRAF.
• Capacity development of partners and stakeholders through workshops as part of projects with particular emphasis on spatial data processing and modeling.

Stakeholder engagement

• Work closely with the CIFOR-ICRAF stakeholder engagement team (SHARED) to provide analytical outputs that feed into project delivery, for example monitoring outputs as part of the Great Green Wall.
• Contribute to stakeholder engagement events as part of the development of decision support tools and platforms.

Various Other Tasks

• Contribute to micro-dashboard development as part of the Global Resilience Impact Tracker platform
• Support projects and programs with analytical support and stakeholder engagement with decision makers.
• Lead and/or contribute to scientific papers.
• Contribute to proposal development and writing.

Requirements
Education, knowledge and experience

• MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
• Excellent interpersonal skills.
• Excellent written and spoken English.
• Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

Personal Attributes And Competencies

• Excellent skills in organizing and priority setting, with the ability to work effectively under time pressure and manage multiple priorities.
• Have initiative and capable of working independently as well as an effective team player.
• Good interpersonal and communication skills, with the ability to effectively interact with people in a multi-disciplinary and multi-cultural environment.
• Experience working with a wide and diverse network of groups and individuals.
• Proactive, target driven, and diligent.
• Works with trustworthiness and integrity.

Education, knowledge and experience

• MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
• Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

Terms and conditions

• This is a Globally Recruited Staff (GRS) position. CIFOR-ICRAF offers competitive remuneration in USD, commensurate with skills and experience.
• The appointment will be for two (2) year period, inclusive of a six-month probationary period, with the possibility of extension contingent upon performance, continued relevance of the position and available resources.
• The duty station will be in Kenya, Nairobi.

Learn more

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.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Support the development and maintenance of dashboards and reports using business intelligence tools (e.g., Tableau, Power BI).
• Perform basic data analysis to identify trends, patterns, and anomalies under the supervision of senior analysts.
• Collaborate with team members to understand business requirements and translate them into data-driven solutions.
• Help in the creation of visualizations and presentations to communicate findings to stakeholders.
• Learn and apply statistical methods and data mining techniques.
• Contribute to data quality assurance and validation processes.
• Participate in team meetings, training sessions, and knowledge-sharing activities.
• Gain exposure to various data analysis methodologies and tools.
• Assist in documenting data processes, methodologies, and findings.

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Proficiency in Microsoft Excel; familiarity with SQL is a significant advantage.
• Basic understanding of data analysis concepts and statistical principles.
• Eagerness to learn and adapt to new technologies and analytical tools.
• Excellent written and verbal communication skills, suitable for remote collaboration.
• Self-motivated and able to work independently with good time management skills.
• A proactive approach to learning and contributing to team goals.
• Passion for data and its potential to drive business value.
• Previous internship or project experience in data analysis is a plus, but not mandatory.