Data QA
AI job insight
The Jitu is seeking an entry-level, full-time Data QA professional for an on-site role in Nyeri, Kenya. The work covers data validation, API testing, functional, regression and integration testing, UAT, defect tracking, and quality improvement, with SQL and Python scripting experience required. Applications are due by 02/11/2026.
- Entry-level, full-time, on-site Data QA role in Nyeri.
- Validate large datasets, APIs, test cases, UAT, defects, and data quality.
- Hands-on SQL, Postman API testing, and Python scripting experience expected.
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The Jitu is seeking an entry-level, full-time Data QA professional for an on-site role in Nyeri, Kenya. The work covers data validation, API testing, functional, regression and integration testing, UAT, defect tracking, and quality improvement, with SQL and Python scripting experience required. Applications are due by 02/11/2026.
- Entry-level, full-time, on-site Data QA role in Nyeri.
- Validate large datasets, APIs, test cases, UAT, defects, and data quality.
- Hands-on SQL, Postman API testing, and Python scripting experience expected.
- Deadline: 02/11/2026.
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Open. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- PreferredPractical evidence in factory, no_experience, armazemThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NyeriThe 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
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data QA evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to The Jitu and the role in Nyeri.
- Add concrete examples related to factory, no_experience, armazem, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Corporate Staffing Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-11-02.
Source and safety check
- Corporate Staffing Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-11-02
- 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 Data QA role in factory, no_experience?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nyeri under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research The Jitu 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
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Original source description
Job Title: Data QA
Date Posted: 22/10/2026
Job Type: Full-Time
Job Level: Entry
Employer: The Jitu
Industry: IT
Salary: Open
Location: Nyeri
Country: Kenya
Deadline: 02/11/2026
IT Jobs, The Jitu Jobs. Data QA validating data accuracy, testing APIs and ensuring quality of data-related systems and processes, requiring hands-on experience writing and executing SQL queries, experience with API testing tools such as Postman, and experience writing Python scripts for test automation or data analysis, in a technology and Agile environment, on-site role based in Kenya.
Position Summary
We are seeking a detail-oriented
Data Quality Analyst
to join our team. This role will be responsible for validating data accuracy, testing APIs, and ensuring the quality and reliability of data-related systems and processes. The ideal candidate has a solid understanding of QA fundamentals, strong analytical skills, and a passion for identifying issues before they impact customers or business operations.
Key Accountabilities
- Execute functional, regression, integration, and data validation testing.
- Validate and analyze large datasets to ensure data accuracy, completeness, and consistency.
- Test APIs and verify data exchanged between systems.
- Create, execute, and document test cases, test plans, and test results.
- Identify, document, and track defects through resolution.
- Collaborate with developers, product managers, and business stakeholders to clarify requirements and ensure quality standards are met.
- Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and backlog refinement.
- Support UAT efforts and help validate business requirements.
- Perform root cause analysis for data quality issues and recommend corrective actions.
- Continuously improve testing processes, methodologies, and quality practices.
- Key Competencies
- Strong understanding of QA fundamentals, testing principles, and Software Testing Life Cycle (STLC).
- Clear understanding of different testing types, including regression testing, UAT, functional testing, and integration testing.
- Experience working with and validating large datasets.
- Basic understanding of SQL and the ability to query data for validation purposes.
- Experience testing and validating APIs.
- Strong analytical and problem-solving skills.
- Ability to work independently, take initiative, and follow through with minimal supervision.
- Excellent attention to detail and organizational skills.
- Comfortable working in a fast-paced, Agile environment.
- Strong written and verbal communication skills.
Qualifications
- Hands-on experience writing and executing SQL queries.
- Experience using API testing tools such as Postman or similar platforms.
- Experience writing Python scripts for test automation, validation, or data analysis.
- Exposure to test management and defect tracking tools such as JIRA, Azure DevOps, or similar.
- Experience with data warehouse, ETL, or data pipeline testing.