Background

Tropical Heat was established in 1973 as a small ethnic snack cottage industry. Today, we are one of the leading manufacturers of spices and snacks in the East African region and our brand Tropical Heat is a household name in Kenya. With our very strong and expert technical team, we manufacture a vast range of spices and snacks. The spices include pure sp...

Key Responsibilities

Data Preparation: Clean, process, and transform large, complex datasets to prepare them for analysis, ensuring data quality and integrity.

Analysis & Modeling: Assist in developing and testing statistical models, predictive algorithms, and machine learning prototypes under the guidance of senior staff.

Reporting & Visualization: Create and maintain dashboards and reports using data visualization tools to communicate key metrics and insights to stakeholders.

Documentation: Document data processes, models, and code for transparency and reproducibility.

Collaboration: Participate in team meetings and contribute ideas to solve business problems using data.

Qualifications

Currently enrolled in or a recent graduate (within the last 12 months) of a Master's or Bachelor's program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Strong foundational knowledge of statistical analysis and data modeling principles.

Experience with SQL for data extraction and manipulation.

Experience with data visualization tools (e.g., Tableau, Power BI, Looker).

Excellent problem solving skills and a strong attention to detail.

Ability to communicate complex data findings clearly and effectively.

Additional Notes

Video interview required

Aptitude test included

Job simulation assessment

• Clean, process, and transform large, complex datasets to prepare them for analysis, ensuring data quality and integrity.
• Assist in developing and testing statistical models, predictive algorithms, and machine learning prototypes under the guidance of senior staff.
• Create and maintain dashboards and reports using data visualization tools to communicate key metrics and insights to stakeholders.
• Document data processes, models, and code for transparency and reproducibility.
• Participate in team meetings and contribute ideas to solve business problems using data.

• SQL
• Data visualization tools (e.g., Tableau, Power BI, Looker)
• Statistical analysis
• Data modeling
• Problem solving
• Attention to detail
• Communication

• Currently enrolled in or a recent graduate (within the last 12 months) of a Master's or Bachelor's program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundational knowledge of statistical analysis and data modeling principles.
• Experience with SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Excellent problem solving skills and a strong attention to detail.
• Ability to communicate complex data findings clearly and effectively.