1,929 Principal Financial Quantitative Analyst jobs in Kenya

Job Summary

We are seeking a highly skilled Data Analyst with a strong focus on financial modeling. In this role, financial modeling is the core responsibility—you will spend most of your time building and refining models that drive strategic client decisions. Data skills (SQL, Python, BigQuery) will enable you to scale and optimize that work.

This role is client-facing: you'll collaborate directly with CFOs and other analysts to deliver outputs seen by clients. Accuracy, clarity, and attention to detail are critical, as mistakes can directly impact client trust. The ideal candidate is passionate about financial modeling, eager to learn across industries, and thrives in a collaborative, fast-changing environment.

Key Responsibilities

1. Financial Modeling (Core)

o Build, refine, and maintain cash flow forecasts, KPI analytics, and operating financial models.

o Ensure models are modular, intuitive, and user-friendly, enabling broad usability across multiple clients.

o Translate P&L statements, KPIs, and financial data into actionable forecasts and insights.

2. Client-Facing Analysis

o Deliver financial insights directly to clients with clarity and professionalism.

o Collaborate with CFOs and analysts to provide strategic recommendations.

o Adapt quickly to different industries and business models—no two clients are alike.

3. Data Analysis & Reporting

o Use SQL (preferably Google BigQuery) to collect and analyze datasets.

o Apply Python for advanced data processing, automation, and visualization.

o Support the design of scalable systems for financial data and KPI analysis.

4. Collaboration & Problem-Solving

o Work closely with cross-functional teams in a highly collaborative environment.

o Contribute to new approaches, dashboards, and tools that push the boundaries of how CFOs operate.

o Approach challenges with creativity, intellectual sharpness, and entrepreneurial spirit.

Required Qualifications

· Bachelor's degree from a top-tier university in Data Analytics, Finance, Computer Science, Engineering or a related field.

· Proven expertise in financial modeling (cash flow forecasting, KPI analytics, operating models).

· Proficiency in SQL and Python.

· Strong financial acumen and understanding of operating-level finance.

· Excellent analytical and problem-solving skills with attention to detail.

Preferred Qualifications

· Experience with Google BigQuery or similar cloud SQL environments.

· Familiarity with data pipelines, ETL processes, or scalable data workflows.

· Exposure to cloud platforms such as GCP.

· Advanced Excel/Google Sheets skills for financial modeling.

· Experience with B2C (consumer product) companies.

· Familiarity with BI/analytics tools such as Looker, Tableau, or dbt (helpful, not required).

Soft Skills

· Passion for financial modeling—comfortable working on it daily.

· High accountability: understands the sensitivity of client-facing work.

· Strong communication skills to explain complex insights clearly.

· Ability to learn quickly and adapt to changing client needs.

· Entrepreneurial mindset with curiosity and creativity.

What You'll Gain

· Exposure to a wide range of clients, industries, and metrics.

· The opportunity to build financial products and models that shape CFO functions across companies.

· A collaborative environment where sharp thinkers and problem-solvers thrive.

A Business Data Analytics and Research intern plays a crucial role in organizations by leveraging data to drive strategic decision-making, conducting research to identify market trends, and optimizing business operations. Below are key responsibilities and skills typically associated with this role:

Key Responsibilities:

1. Data Collection and Analysis
   :

2. Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.

3. Use statistical tools to interpret data sets, identifying patterns and trends that inform business decisions.

2.Data Visualization, Reporting and Presentation
:

• Prepare and present detailed reports, dashboards, and visualizations that summarize key data insights and findings.
• Communicate complex data results to non-technical stakeholders in a clear and actionable manner.
• Capacity to develop concept notes and proposals based on market research gaps

3. Market Research
:

• Conduct qualitative and quantitative research to identify new market opportunities, competitor analysis, and customer preferences.
• Evaluate market conditions, industry trends, and competitors' activities to support business growth strategies.
• Prepare presentations based on market research reports

4.Business Performance Monitoring
:

• Monitor key performance indicators (KPIs) to track business progress and identify areas for improvement.
• Recommend improvements based on data insights to optimize processes, reduce costs, and increase profitability.

5.Collaborating with Teams
:

• Work closely with different departments such as marketing, finance, and operations to align data-driven insights with business objectives.
• Provide support for product development, sales strategies, and customer experience initiatives through data analysis.

6.Data Management
:

• Ensure the accuracy, completeness, and security of data.
• Develop and maintain databases, data collection systems, and strategies for efficient data storage and retrieval.

Key Skills:

1.Data Analytics Tools
:

• Proficient in tools like SQL, Excel, Tableau, Power BI, Google Analytics, and other business intelligence platforms.

2.Statistical Analysis
:

• Knowledge of statistical software (e.g., R, SAS, SPSS) and techniques such as regression analysis, hypothesis testing, and predictive modeling.

3.Research and Excellent Writing skills:

• Strong ability to conduct both primary and secondary research, including surveys, interviews, and literature reviews.
• Capacity to develop report and concepts based on market research reports

4.Problem-Solving
:

• Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.

5.Communication Skills
:

• Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.

6.Attention to Detail
:

• High level of precision in handling large data sets and ensuring data accuracy.

7.Project Management
:

• Ability to manage multiple research projects simultaneously, ensuring timely delivery of results.

Education, knowledge and experience:

• A degree in Agricultural Economics or a related field.
• Experience in management and analysis of data.
• Field experience and synthesis of data and lessons for learning
• Knowledge and savvy of data analysis software, especially Stata.
• Very strong analytical skills and applied statistical experience.
• Good scientific wring experience.

Company Description
Infotrak Research and Consulting is a full service research company that was founded in 2004 following the vision of the founder to provide the Pan African Market with suitable information solutions required to sustain the ever-growing economies in the continent.

Headquartered in Nairobi, Kenya, Infotrak also has affiliate offices in Uganda, Tanzania, Nigeria and field contacts in more than 12 other countries in Sub Saharan Africa. The firm attributes its rapid growth to not only innovation, high level of professionalism and dynamism, but also on the excellent caliber of personnel who have been described by many as "Business minds who specialize in research".

Services provided include: Customer & Employee Satisfaction Surveys, Market Segmentation Studies, Brand Health checks, Consumer Usage and attitude studies, advertising awareness/impact surveys, advertising pre-post testing, media surveys, pricing studies, new product research, market feasibilities, formative research, perception surveys, KAP studies etc.

Job Description
We are seeking a highly skilled and detail-oriented Data Analyst with a minimum of five (5) years' experience in data analytics to join our dynamic team. The ideal candidate should have a strong background in statistical analysis, data management, and visualization.

Key Responsibilities:

• Process, clean, and validate large datasets from various sources.
• Prepare survey sampling designs.
• Perform statistical analysis and interpretations to identify trends, patterns, and correlations.
• Develop dashboards, reports, and data visualizations to support business objectives.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Apply advanced analytical techniques to solve complex problems.
• Ensure data integrity, confidentiality, and compliance with relevant policies and regulations.
• Implement process improvements and data-driven strategies to optimize performance.

Qualifications

• Bachelor's degree in Statistics or a related field. Master's degree will be an added advantage.
• Minimum of five (5) years' proven experience in data analytics, statistical modelling, and reporting.
• Proficiency in statistical tools and programming languages (e.g., SPSS, STATA, MS Excel, R, and Python).
• Strong experience with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information

This job is full time job and the applicant must be willing to work outside of the country.

If you meet the above requirements, send your CV with a cover letter and testimonials to

the contact address provided.

NB: Ladies are strongly encouraged to apply.

Summary
The Senior Research Analyst is responsible for internal project management and report writing. This role requires the ability to effectively communicate with stakeholders, manage multiple projects and analyze complex data sets, synthesize information, and present findings in a clear and concise manner. To be successful in this role, you must have strong communication skills, excellent analytical skills, attention to detail, and the ability to multitask.

Responsibilities
Participate in client meetings to ensure comprehension of client needs.

Support in writing RFPs, questionnaire design, writing research reports, strategic recommendations and client presentation.

Create statistical analysis and reporting plans, conducting analysis of results.

Full cycle project management in collaboration with the operations team to ensure quality control and adherence to project timelines, such as validating the questionnaire's test link, interviewer training, coordinating field implementation, follow-up and validation of the pre-test, daily project field monitoring, project follow-up and coordinating end of fieldwork stages.

Qualifications
Bachelor's or Master's in Sociology, Psychology, Business or related field

Minimum 4 years' work experience in client facing/customer service roles

Minimum with 2 years' Market Research experience as a Market Research Analyst, preferably on supplier side research.

Skills
Strong Project Management skill: Adept managing multiple projects and timelines at once.

Strong Client Management skill: Adept at nurturing client relationships, understanding client needs and helping clients in solving their business problems with research.

Excellent communication and presentation skills: Ability to convey complex data and insights in a clear and compelling manner.

Excellent analytical skills: Ability to examine and interpret data with keen attention to detail; identify trends, patterns, and insights, and draw meaningful conclusions that is useful for decision-making.