Graduate – Commercial & Data
AI job insight
Tropical Heat is hiring a recent graduate for a full-time Commercial & Data role in Nairobi. The program covers data preparation, statistical modeling, machine-learning prototypes, reporting, dashboards, documentation, and collaboration on data-informed business decisions.
- Open to current students and graduates from the past 12 months.
- Work across data preparation, statistical modeling, machine learning, and visualization.
- Create dashboards and reports using tools such as Tableau, Power BI, and Looker.
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Tropical Heat is hiring a recent graduate for a full-time Commercial & Data role in Nairobi. The program covers data preparation, statistical modeling, machine-learning prototypes, reporting, dashboards, documentation, and collaboration on data-informed business decisions.
- Open to current students and graduates from the past 12 months.
- Work across data preparation, statistical modeling, machine learning, and visualization.
- Create dashboards and reports using tools such as Tableau, Power BI, and Looker.
- Requires a bachelor’s or master’s degree in a relevant quantitative field.
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in cleaning, Data Analysis, Data ScienceThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Graduate – Commercial & Data evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Tropical Heat and the role in Nairobi.
- Add concrete examples related to cleaning, Data Analysis, Data Science, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobWeb Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Graduate – Commercial & Data role in cleaning, Data Analysis?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Tropical Heat before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Use AI to apply better
After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.
Original source description
The candidate should be a motivated and intellectually curious graduate. This graduate program offers a unique opportunity to apply academic knowledge to real-world business challenges, working alongside experienced data scientists and analysts. The successful candidate will contribute to the full lifecycle of data projects, from collection and cleaning to analysis and visualization, helping to drive data-informed decisions across the company.
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.