Data Capture Analyst - Entry Level at Tezza Business Solutions Ltd in Nairobi, Kenya

    Tezza Business Solutions Ltd logo

    Data Capture Analyst - Entry Level

    Tezza Business Solutions LtdNairobi, Kenya

    Posted

    3 days ago

    Apply by

    3 Sept

    Full Time
    On Site
    Entry
    ICT & Telecommunications
    Data, Analytics & AI

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    Job Description

    We are seeking 9 entry-level Data Capture Resources to support a strategic data migration project within the Bank. This is a short-term, project-based engagement requiring individuals who are detail-oriented, organized, and comfortable working with structured data under defined timelines.

    Key Responsibilities

    • Review and clean data extracted from various source files and systems, identifying and correcting inconsistencies, duplicates, and errors.
    • Reformat and structure data into required migration templates in line with project specifications.
    • Capture and validate project-related information accurately and in a timely manner.
    • Support geo-location data collection and input activities as required.
    • Assist the wider project team with additional data preparation tasks needed for successful project implementation.
    • Escalate data quality issues or anomalies to the project/data lead as appropriate.

    Required Qualifications

    • Strong attention to detail and a high level of accuracy in data entry and review.
    • Basic experience with data management or data entry internships, coursework, or prior roles considered.
    • Good working knowledge of Microsoft Excel sorting, filtering, basic formulas, data cleaning.
    • Ability to follow defined processes and templates consistently.
    • Ability to work to project timelines and meet daily/weekly targets.
    • Good written and verbal communication skills.
    • Prior exposure to banking, financial services, or large-scale data migration projects.
    • Familiarity with data validation or quality-checking processes.
    • Experience with geo-location or mapping data.
    • Reliable, punctual, and able to work well within a team under supervision.
    • Comfortable with repetitive, high-volume data tasks while maintaining accuracy.
    • Adaptable to changing instructions and templates as the project evolves.

    Job Details

    Job Function

    Data, Analytics & AI

    Education Level

    Bachelor’s Degree

    Area of Study

    Science

    Field of Study

    Computer Science

    Languages

    English

    Additional Information

    How to Apply: Interested and qualified? Go to Tezza Business Solutions Ltd on tezzasolutions.catsone.com to apply.

    Show Excel Fluency and Data Discipline in Your Application

    This role is about precision and speed under pressure. Hiring managers will look for proof you can handle large volumes of data without losing accuracy, and that you can follow templates to the letter.

    1. Highlight Excel skills on your CV: List specific functions you know, such as VLOOKUP, pivot tables, and data cleaning techniques. If you have used Excel in coursework or internships, describe what you did with it.

    2. Show attention to detail with examples: Describe a time you caught an error or improved data quality. Quantify the impact if possible, like 'reduced errors by 20%'.

    3. Prepare for a data entry test: Many employers give a practical test. Practice entering data accurately and quickly, and review common Excel shortcuts.

    4. Understand the banking context: Since this is for a bank, familiarize yourself with basic financial terms and data privacy rules. Mention any coursework or exposure to banking data.

    5. Emphasize reliability and punctuality: This role requires meeting daily targets. Give examples of times you met deadlines or managed repetitive tasks without losing focus.

    6. Be ready to discuss geo-location data: If you have any experience with mapping or location data, highlight it. Even basic familiarity with GPS or GIS can be a plus.

    7. Show adaptability: The project may change instructions and templates. Provide an example of when you adapted to changing requirements in a previous role or project.

    8. Ask thoughtful questions in the interview: Inquire about the data migration tools used, the team structure, and how success is measured. This shows genuine interest and understanding of the role.

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    Tags

    data entry
    data cleaning
    Microsoft Excel
    data migration
    attention to detail