Data Analyst - Sales at Tropical Heat in Kiambu, Kenya

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    Data Analyst - Sales

    Tropical HeatKiambu, Kenya

    Posted

    1 day ago

    Apply by

    5 Sept

    Full Time
    On Site
    Mid
    Food Services, Hospitality & Catering
    Data, Analytics & AI

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    Job Description

    This role involves consolidating business and product performance data from multiple sources, reporting on KPIs, and forecasting sales and capability needs. The analyst will support the sales team by developing KPI scorecards, driving CRM integration, and presenting reports in management meetings. The position requires strong analytical skills and experience with CRM and ERP systems.

    Key Responsibilities

    • Design/Improve and run procedures to consolidate business and product performance data from several sources, and report on business and product KPIs as well as forecast sales and capability needs.
    • Acquire data from primary or secondary data sources.
    • Keep in contact with Key Accounts Manager, Sales Coordinator, Sales Administrator, Sales-Team leader, Sales Representatives in person and by phone on sales targets.
    • Support Sales team to meet sales targets and advise sales team about targets scheduled.
    • Develop KPI scorecard to drive revenue.
    • Monthly running of business KPIs in a report.
    • Implement initiatives, track usage & revenue through tracker, plan corrective action and ensure implementation of corrective plans.
    • Champion and give reports via CRM.
    • Drive Integration of systems & customer data base in CRM to reduce manual intervention and help in getting single view of customer.
    • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
    • Interface with sales on making business cases.
    • Review performance and provide feedback for achieving sales target.
    • Positively influence cross functional team to work together for achieving business results and ensuring that their business pains are addressed.
    • Give feedback on sales trends.
    • Present all the report in MRM / BSC meeting and where required.

    Required Qualifications

    • Bachelor's degree in Statistics, Mathematics, Administration or a quantitative field.
    • 2-3 years of experience on this position and field.
    • Experience in performing exploratory, quantitative analysis with Ms Office and ERP system.
    • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
    • Experience with CRM system.
    • Knowledge of statistical methods and forecasting.
    • Proficiency in acquiring, organizing, cleansing and manipulating large data.
    • Ability to simplify complex analytics into recommendations that are easily understood and executable.
    • Ability to strategically influence stakeholders and partners.
    • Demonstrated problem-solving and decision-making skills.
    • Ability to adapt to a rapidly changing business environment and manage multiple priorities.

    Job Details

    Salary Range

    KES 50,000 – 100,000 / month

    Job Function

    Data, Analytics & AI

    Minimum Experience

    2 years

    Education Level

    Bachelor’s Degree

    Area of Study

    Science

    Field of Study

    Statistics

    Languages

    English

    Additional Information

    How to Apply: Interested and qualified? Go to Tropical Heat on snapstartalent.com to apply.

    Show Your Sales Analytics Impact in the Interview

    This role sits at the intersection of data and sales. Hiring managers will want to see that you can turn raw numbers into decisions that move revenue. Be ready to talk about how you've used data to influence sales teams and improve KPIs.

    1. Quantify your past impact: When describing your experience, use numbers. For example, say 'I built a KPI dashboard that increased sales by 10%' instead of 'I built dashboards.' This shows you understand the business impact of your work.

    2. Master the tools they use: This job requires MS Office, ERP, and CRM systems. Be prepared to discuss your proficiency in Excel (pivot tables, VLOOKUP), and any ERP/CRM software you've used. If you have experience with SQL or Power BI, highlight it.

    3. Prepare a case study: You might be asked to analyze a sample dataset or walk through a past project. Practice explaining your process: how you collected data, cleaned it, analyzed it, and presented findings.

    4. Understand the sales context: Since you'll support the sales team, show you understand sales targets, pipelines, and forecasting. Read up on common sales metrics like conversion rates and customer acquisition cost.

    5. Show you can influence stakeholders: The job requires influencing cross-functional teams. Give examples of how you've persuaded others using data. Emphasize your communication skills.

    6. Be ready to discuss CRM integration: They want to reduce manual work and get a single view of the customer. Talk about any experience you have with CRM data integration or database management.

    7. Highlight your problem-solving: Expect behavioral questions like 'Tell me about a time you solved a complex problem.' Use the STAR method (Situation, Task, Action, Result) to structure your answers.

    8. Ask smart questions: At the end of the interview, ask about the current data systems, the sales team structure, or what success looks like in the first 90 days. This shows genuine interest and strategic thinking.

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    Tags

    data analysis
    sales
    CRM
    ERP
    KPI