Full Time
  • Full Time
  • Nairobi

Institute of Public Finance (IPF)


The Institute of Public Finance (IPF), a non-profit think tank committed to promoting equitable, efficient, and effective Public Finance, is seeking a skilled Data Analyst to join our dynamic Data and Measurement Unit. As a Data Analyst at IPF, you will contribute to generating evidence-based research that informs policy, using your expertise in data collection, management, analysis, and interpretation.

Job Level: Mid-Level

Job Summary

The Data and Measurement Unit at IPF plays a crucial role in collecting, analyzing, and disseminating high-quality data and evidence, supporting our commitment to Transparency, Accountability, and Participation (TAP). As a Data Analyst, you will be responsible for technical support in data extraction, generation of data collection tools, and ensuring accurate, well-documented, and archived data.

Key Responsibilities

i) Data Collection and Management:

  • Collaborate with relevant units to identify and access relevant data sources on IPF’s thematic areas.
  • Collect data from national and county government agencies, international organizations, research institutions, and the private sector.
  • Develop and implement data collection protocols and tools ensuring consistency and accuracy.
  • Develop automated processes for data extraction and transformation.
  • Clean and pre-process datasets for analysis, addressing missing data, and inconsistencies.
  • Maintain and document data collection and management procedures.

ii) Data Analysis and Interpretation:

  • Utilize statistical and data analysis tools to conduct quantitative and qualitative analysis.
  • Identify trends and relationships within datasets to inform research and policy analysis.
  • Develop and implement appropriate statistical models and analytical methods.
  • Interpret the results of data analysis for internal and external audiences.
  • Prepare data visualizations and reports to communicate findings effectively.
  • Perform detailed data analysis to uncover trends, correlations, and insights pertinent to public finance.
  • Assist research teams in interpreting data, providing analytical support for complex research projects.

iii) Support to Thematic Areas and Units:

  • Provide data and analytical support to IPF’s research teams.
  • Collaborate with the communication and advocacy unit to tailor data and analysis for policy briefs, advocacy campaigns, and stakeholder engagement activities.
  • Contribute to the development and implementation of IPF’s monitoring and evaluation (M&E) framework.
  • Stay informed about current trends and developments in data analysis methods and relevant policy areas.

iv) Reporting and Visualization:

  • Develop interactive dashboards using public finance data.
  • Utilize visualization tools, such as infographics, to communicate complex information effectively.

Qualifications and Experience

  • Bachelor’s degree in economics, Actuarial Science, Business, Mathematics, Computer Science, Statistics, Research, or a related field.
  • Strong technical skills in data analysis including statistical software (e.g., Stata, R, SPSS), data visualization tools (e.g., Tableau, Power BI, EViews), and spreadsheet applications.
  • Excellent written and verbal communication and presentation skills.
  • Minimum of 2 years of experience conducting quantitative and qualitative data analysis.
  • Strong analytical and problem-solving skills.

How to Apply

Send a cover letter and curriculum vitae ONLY to:, indicating the vacancy applied for on the subject line of your email. Applications will be reviewed on a rolling basis up to 4th February 2023.

IPF celebrates and embraces diversity; we are committed to the principle of equal employment opportunity and encourage qualified candidates to apply. Please write in the English language.

Expert Tips To Be A Successful Applicant for Data Analyst Position

  1. Highlight Technical Skills: Showcase your proficiency in relevant tools such as Stata, R, SPSS, Tableau, Power BI, or EViews in your resume and cover letter. Provide examples of how you’ve used these tools to analyze complex datasets.
  2. Demonstrate Analytical Thinking: Emphasize instances where you’ve applied strong analytical and problem-solving skills to derive meaningful insights from data. Discuss how your analyses have contributed to informed decision-making.
  3. Communication is Key: Stress the importance of effective communication in data analysis. Share experiences where you’ve translated complex data findings into clear, actionable insights for both technical and non-technical stakeholders.
  4. Showcase Experience in Data Collection: If you have experience collecting data from diverse sources, highlight this in your application. Discuss how you’ve ensured accuracy, consistency, and documentation in past data collection projects.
  5. Illustrate Adaptability: The data landscape evolves; illustrate your ability to adapt to new tools and methodologies. Mention instances where you quickly learned and implemented new data analysis techniques.
  6. Express Commitment to Continuous Learning: Demonstrate your commitment to staying informed about the latest trends in data analysis and policy areas. Mention any relevant certifications or courses you’ve undertaken.
  7. Align with IPF’s Mission: Tailor your application to show alignment with IPF’s mission of promoting transparency, accountability, and participation in public finance. Discuss how your skills contribute to achieving these goals.
  8. Link Data Analysis to Public Finance: Connect your data analysis experience to the field of public finance. Provide examples of how your analyses have influenced decision-making in areas related to public finance.
  9. Highlight M&E Contributions: If you have experience with monitoring and evaluation frameworks, highlight this. Discuss your contributions to developing and implementing M&E systems in previous roles.
  10. Demonstrate Team Collaboration: Emphasize your ability to collaborate with different units. Share instances where you’ve provided data and analytical support to research teams or worked closely with communication and advocacy units.

SAMPLE COVER LETTER for a Data Analyst Position

Dear Hiring Manager,

I am writing to express my sincere interest in the Data Analyst position at the Institute of Public Finance, as advertised. With a Bachelor’s degree in Statistics and over three years of experience in quantitative and qualitative data analysis, I am enthusiastic about the prospect of contributing my skills and expertise to your dynamic Data and Measurement Unit.

In my previous role at XYZ Analytics, I successfully implemented automated processes for data extraction, significantly reducing analysis time. My proficiency in statistical software such as Stata and data visualization tools like Power BI has allowed me to provide actionable insights, contributing to evidence-based decision-making. I am particularly drawn to the commitment of IPF to Transparency, Accountability, and Participation in public finance, and I am eager to bring my technical skills and dedication to data accuracy to your esteemed organization.

My experience in developing interactive dashboards and translating complex data into clear visualizations aligns seamlessly with IPF’s mission. I am confident that my analytical and problem-solving skills, coupled with my commitment to effective communication, make me a strong fit for this role.

Thank you for considering my application. I look forward to the possibility of discussing how my skills and experiences align with the needs of IPF. I am excited about the opportunity to contribute to your research teams, collaborate with the advocacy unit, and support the monitoring and evaluation framework.


[Your Name]

Frequently Asked Questions (FAQs)

1. What qualifications are essential for the Data Analyst position?

To be successful in this role, candidates should have a Bachelor’s degree in economics, Actuarial Science, Business, Mathematics, Computer Science, Statistics, Research, or a related field. Strong technical skills in data analysis, including proficiency in statistical software and data visualization tools, are crucial.

2. How can applicants demonstrate strong analytical and problem-solving skills?

Applicants can showcase these skills by providing examples in their cover letters or resumes where they’ve successfully tackled complex data analysis challenges, leading to meaningful insights and informed decision-making.

3. Is experience in public finance necessary for the Data Analyst position?

While not mandatory, experience or a strong interest in public finance is advantageous. Applicants should highlight how their data analysis skills can be applied to issues related to public finance, aligning with IPF’s mission.

4. Can I apply if I don’t have the minimum required years of experience?

IPF encourages qualified candidates to apply, and applications will be reviewed on a rolling basis. Highlight relevant skills and experiences that make you a strong fit for the role, even if you don’t meet the exact experience requirement.

5. What types of data sources will the Data Analyst be working with?

The Data Analyst will collaborate with national and county government agencies, international organizations, research institutions, and the private sector to collect data on various thematic areas related to public finance.

6. How will IPF ensure diversity and equal employment opportunities?

IPF celebrates and embraces diversity, adhering to the principle of equal employment opportunity. The organization encourages qualified candidates from all backgrounds to apply, fostering an inclusive work environment.

7. Are applications accepted in languages other than English?

For uniformity and ease of processing, IPF prefers applications in the English language.

8. Is there a specific deadline for applications?

Applications will be reviewed on a rolling basis up to 4th February 2023. Early submissions are encouraged.

9. Is there an application or recruitment fee?

IPF is an equal employer and does not charge any application or recruitment fees.

10. What is the interview process like?

Shortlisted candidates will undergo an interview process that may include technical assessments and discussions with the hiring team. Be prepared to showcase your data analysis skills and discuss relevant experiences.

Possible Data Analyst Interview Questions With Answers

  1. Question: Can you describe a challenging data analysis project you’ve worked on and how you overcame obstacles?
    • Answer: In my previous role at XYZ Analytics, we undertook a project analyzing customer behavior trends. Challenges included handling large datasets and ensuring data accuracy. I overcame these by implementing data cleaning protocols and collaborating with team members to validate findings.
  2. Question: How do you stay updated on the latest trends in data analysis methods and policy areas?
    • Answer: I regularly attend industry conferences, participate in online forums, and engage in continuous learning through webinars and courses. This ensures I am aware of the latest tools and methodologies in data analysis and relevant policy areas.
  3. Question: How would you approach communicating complex data findings to non-technical stakeholders?
    • Answer: I believe in using clear and concise language, supported by visualizations. In my previous role, I created user-friendly dashboards and conducted presentations to translate complex data into actionable insights for diverse stakeholders.
  4. Question: Can you give an example of a situation where your data analysis directly influenced decision-making in a meaningful way?
    • Answer: At ABC Corporation, my analysis of production efficiency data led to a restructuring of workflows, resulting in a 20% increase in overall productivity. This directly impacted decision-making by optimizing resource allocation.
  5. Question: How do you ensure the accuracy and reliability of data collected from different sources?
    • Answer: I establish rigorous data collection protocols, conduct thorough validations, and cross-reference information from multiple sources. Additionally, I maintain detailed documentation of the data collection process to ensure accuracy and reliability.
  6. Question: Describe your experience in developing and implementing monitoring and evaluation (M&E) frameworks.
    • Answer: In my previous role, I actively contributed to the development and implementation of an M&E framework. This involved defining key performance indicators, designing data collection tools, and assessing the impact of projects through systematic evaluations.
  7. Question: How do you handle missing data in your analyses?
    • Answer: I employ imputation techniques based on the nature of the missing data. Whether through mean imputation or more advanced methods, my goal is to minimize the impact of missing data on the overall analysis while maintaining accuracy.
  8. Question: Can you provide an example of a situation where you had to adapt to a new data analysis tool or methodology?
    • Answer: When transitioning to a new role, I quickly learned and adapted to using EViews for time series analysis. I completed online courses and engaged in hands-on projects to ensure a smooth transition and maintain analytical proficiency.
  9. Question: How would you contribute to the development of interactive dashboards using public finance data?
    • Answer: I have extensive experience using tools like Tableau to create interactive and insightful dashboards. I would leverage this expertise to develop visually appealing dashboards that effectively communicate key public finance insights.
  10. Question: What role do collaboration and teamwork play in your approach to data analysis?
  • Answer: Collaboration is crucial. I actively engage with cross-functional teams to understand their data needs and ensure alignment with organizational goals. This collaborative approach enhances the quality and relevance of data analyses.

Wishing you the best in your application! The Institute of Public Finance is committed to attracting and retaining the best employees from all races and backgrounds in our continued effort to become a better development partner. We are an equal employer and do not charge any application/recruitment fee.

To apply for this job email your details to

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