Data Analyst, Shopper Insights at Mondelēz International

Data Analyst, Shopper Insights at Mondelēz International

SEO Title: Data Analyst, Shopper Insights Job at Mondelēz International in Nairobi

Meta Description: Mondelēz International is hiring a Data Analyst, Shopper Insights in Nairobi. Candidates with 3–5 years of data or commercial analytics experience, strong Excel skills and market research knowledge are encouraged to apply.

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Job Details

- Job Title: Data Analyst, Shopper Insights

- Company: Mondelēz International

- Location: Nairobi, Kenya

- Job Type: Full-Time

- Employment Type: Regular

- Job Category: Data Analysis / Research / Marketing

- Education: Relevant Diploma or Bachelor's Degree

- Experience: 3–5 Years

- Salary: Not Disclosed

- Number of Positions: 1

- Application Deadline: November 16, 2026

- Date Posted: November 2, 2026

Job Overview

Mondelēz International is seeking a qualified and analytical professional to fill the position of Data Analyst, Shopper Insights in Nairobi.

The successful candidate will support and execute shopper insight initiatives by analysing consumer and retail data, identifying business growth opportunities and translating research findings into practical recommendations.

The role involves understanding shopping behaviour, retail environments, distribution performance, product availability, shelf layouts, promotions and pricing. The successful candidate will use data and market research to help the business develop shopper-centred strategies and improve commercial performance.

The position also involves distributor data mapping, coverage and distribution analytics, stakeholder engagement and commercial reporting across Central and Eastern Africa (CEA) markets.

Applicants should have 3–5 years of experience in data or commercial analytics, preferably within the fast-moving consumer goods (FMCG) industry or traditional trade environments.

About Mondelēz International

<escape>Mondelēz International</escape> is a global snacking company with a portfolio of well-known food and confectionery brands.

Its products include Cadbury Dairy Milk, Oreo, Halls and Bournvita, alongside regional and local brands such as Cadbury LunchBar, Chappies, TomTom and Dentyne.

The company's Sub-Saharan Africa business unit operates across Southern Africa, West Africa and other African markets. It focuses on delivering popular snack products to consumers while developing strong commercial and distribution networks.

Job Purpose

The Data Analyst, Shopper Insights will help the organisation understand shopper behaviour and retail performance through research, data analysis and commercial reporting.

The successful candidate will identify gaps in market knowledge, develop research recommendations, analyse distributor and retail data, and provide insights that help sales and management teams make informed decisions.

The role requires a combination of market research expertise, strong analytical skills, commercial awareness and the ability to work with different stakeholders across regional markets.

Key Responsibilities

1. Shopper Insights and Market Research

1. Identify and leverage growth opportunities within the retail environment across the business unit.

2. Generate actionable shopper insights that influence consumer behaviour and identify effective engagement strategies.

3. Continuously optimise business performance through data analysis, tracking and learning.

4. Identify knowledge gaps and business needs in different countries.

5. Develop research recommendations and prioritised research plans to address identified business needs.

6. Define research objectives, research methodologies, analysis scope and action standards for every project.

7. Identify important research findings and translate them into business implications and practical recommendations.

8. Influence sales teams to incorporate research insights into their business plans.

9. Develop insights into general grocery shopping behaviour, including shopping missions and channel preferences.

10. Support studies involving observation of in-store shopper behaviour.

11. Identify factors influencing in-store performance, including shelf layouts, product assortment, promotions, pricing and hot-zone placement.

2. Distributor Data Mapping and Accuracy

1. Manage the alignment of PRA data aggregator (Spot 2 D) feeds with distributor data collected across different countries.

2. Identify discrepancies between data sources and coordinate investigations to establish their root causes.

3. Develop a reliable and auditable data mapping framework.

4. Support preparations for the transition to an incentive-on-IMS model.

5. Ensure distributor data is accurate, consistent and suitable for commercial decision-making.

3. Stakeholder Engagement

1. Serve as a primary data contact for distributor data managers across Central and Eastern Africa markets.

2. Understand the differences and specific data requirements within individual countries.

3. Build and maintain productive relationships with distributor data teams.

4. Coordinate with internal stakeholders to ensure data-related activities receive the necessary attention and support.

5. Communicate data findings, discrepancies and requirements clearly to relevant teams.

4. Coverage and Distribution Analytics

1. Produce and maintain retail coverage figures across countries, channels and retail environments.

2. Analyse distribution performance and identify gaps in market coverage.

3. Highlight underserved retail areas and potential business growth opportunities.

4. Provide insights that support improvements in product availability and distribution effectiveness.

5. DFC File Management

1. Support the preparation and maintenance of DFC files.

2. Validate spreadsheet formulas and ensure calculations are accurate.

3. Identify missing information, data gaps and potential opportunities.

4. Ensure files remain updated, accurate and suitable for business decision-making.

6. Reporting and Business Insights

1. Prepare clear and accurate commercial reports.

2. Present data findings in a format that sales and market management teams can understand and use.

3. Track business performance and highlight important trends.

4. Provide actionable recommendations based on data analysis.

5. Support continuous improvement through reliable reporting and performance monitoring.

Qualifications and Requirements

Interested applicants should meet the following requirements:

- Relevant Diploma or Bachelor's Degree.

- At least 3–5 years of experience in a data analytics or commercial analytics role.

- Experience in market research, preferably within an FMCG/CPG manufacturer or major retail organisation.

- Strong understanding of consumer and shopper research.

- Extensive experience using market research data.

- Good understanding of retail environments and traditional trade operations.

- Strong knowledge of Go-to-Market (GTM) models.

- Understanding of distributor networks and in-market sales data flows.

- Excellent Microsoft Excel and spreadsheet skills.

- Ability to work with formulas, data validation and large datasets.

- Strong analytical skills and attention to detail.

- Excellent communication and presentation skills.

- Ability to work independently within a remote team.

- Confidence in engaging distributor data teams and internal stakeholders.

- Ability to influence stakeholders without direct authority.

Additional Skills and Experience

The following will be an added advantage:

- Experience working with data aggregators such as PRA, Nielsen or IRI.

- Familiarity with coverage and numeric distribution metrics.

- Experience analysing traditional trade and FMCG distribution data.

- Strong understanding of retail channels and shopper behaviour.

- Experience translating complex data into actionable commercial recommendations.

- Ability to identify data inconsistencies and follow through until they are resolved.

Key Competencies

The ideal candidate should demonstrate:

- Strong commercial and analytical thinking.

- Excellent research planning and interpretation skills.

- High levels of accuracy and attention to detail.

- Good stakeholder management and relationship-building abilities.

- Strong communication and presentation skills.

- Ability to identify meaningful business insights from complex datasets.

- Persistence in resolving data discrepancies.

- Ability to manage multiple priorities and work independently.

- Practical understanding of retail and distribution operations.

Work Location and Employment Details

The position is based in Nairobi, Kenya, and is offered on a full-time, regular employment basis.

The successful candidate will support shopper insight and commercial data activities across the company's regional markets.

Relocation Support: Mondelēz International indicates that relocation support is not available for this position.

How to Apply

Interested and qualified candidates should submit their applications through Mondelēz International's official careers recruitment process.

Applicants should prepare an updated CV highlighting their academic qualifications, 3–5 years of relevant data or commercial analytics experience, market research knowledge, Excel proficiency and experience working with retail or distributor data.

Candidates with experience in FMCG, traditional trade, shopper research and data aggregator platforms are encouraged to highlight these skills in their applications.

Application Deadline: November 16, 2026.

For more job description visit: jobopenings.co.ke