Data Quality Analyst
Irembo | Post type: jobs September 22, 2025 - Deadline 30/09/2025 | NumberOfPosition [1]

About You and the Role
We are seeking a Data Quality Analyst to join the Data Analytics department. You will serve as the quality assurance (QA) function for our data ecosystem, with a primary focus on validating the accuracy, completeness, and reliability of our data warehouse, marts, dashboards, and other organizational data assets. This role is central to building trust in data across the company by ensuring stakeholders can rely on insights for decision-making and operations.

What will you do

Data Validation & Quality Assurance

• Validate the accuracy, consistency, and completeness of data across the warehouse, marts, dashboards, and other data assets.

• Conduct regular QA checks to ensure analytics outputs and business reports align with source systems.

• Design and run validation scripts, reconciliation processes, and test cases to detect errors, anomalies, or missing data.

• Monitor automated data refreshes, ETL jobs, and data pipelines, flagging quality issues proactively.

• Provide recommendations to Analytics Engineers and Data Engineering teams to improve automated data quality checks and validation processes.

• Define and monitor key data quality metrics, providing insights on trends, gaps, and risks to stakeholders.

Collaboration & Issue Resolution

• Work with analysts to confirm dashboards and reports reflect correct and timely information.

• Partner with data engineers and other technical teams to identify and resolve upstream or cross-department data quality issues.

• Provide feedback loops to improve data governance practices and ensure reliable decision-making across the organization.

Documentation & Continuous Improvement

• Document QA processes, validation results, and data quality standards to enable consistency and transparency.

• Develop and maintain a framework for ongoing monitoring of data quality across different systems.

• Share reports on data quality trends, risks, and progress with relevant stakeholders, recommending improvements.

• Identify opportunities for improving data quality, suggesting process enhancements, and implementing automated validation solutions.

You will be a good fit if

Education & Background

• You hold a degree in Computer Science (with a focus on Data Science/Data Engineering), Mathematics, Statistics, or a related field from a top-tier Rwandan or international institution.

• You have some experience in Data Science, Data Engineering, Business Intelligence, or a related field.

• You have past experience in QA for data (validating data warehouses, marts, dashboards, or similar).

Technical Skills

• You have solid experience in SQL to check data accuracy and investigate discrepancies.

• You are proficient in Python for automation, scripting, and building validation checks.

• You have some experience with BI tools (e.g., Metabase, Power BI, Tableau) and can validate dashboards.

• You understand data warehousing concepts, ETL/ELT processes, and data pipelines, and how data flows across them.

• You have knowledge of data governance practices, including data lineage, metadata management, and compliance requirements.

Analytical & Quality Skills

• You know key data quality dimensions (accuracy, completeness, consistency, timeliness, uniqueness, validity).

• You have strong attention to detail, with the ability to spot inconsistencies and anomalies others may overlook.

• You can design and execute test cases and validation checks for data pipelines, similar to QA in software engineering.

• You are skilled at root cause analysis and can trace data issues back to their source.

• You are proactive in setting up monitoring and automated alerts for data quality issues.

Soft Skills & Mindset

• You are detail-oriented, structured, and rigorous in testing.

• You enjoy collaborating with engineers, analysts, and other stakeholders to solve issues and improve processes.

• You can clearly communicate data quality issues, risks, and impacts to both technical and non-technical audiences.

• You are curious about how data flows through systems and eager to continuously learn and improve processes.

Benefits and Compensation

Employee savings plan

• A voluntary saving scheme plan where the company matches your savings up to 5% of your Net salary.

Mental health support

• Access to mental health support and therapy sessions with licensed therapists through a renowned mental wellness platform.

Medical insurance

Medical cover for you and your family includes access to dental care, ophthalmology services, maternity, chronic diseases, congenital malformation, and more in Rwanda, Uganda, Kenya, and India. Note that, as required by the law, a 10% co-pay is required from the employee on outpatient services only.

Learning and development (L&D)

• We encourage self-driven professionals who want to learn and grow their knowledge and experience. A budget is allocated to you to access your professional development opportunities.

Other benefits

• Breakfast, lunch, and beverages (tea, coffee) at work

• Annual fitness membership at pre-selected good-quality facilities across Kigali.

• Interest-free salary advances 

• Annual paid leave - 21 days

• Annual performance bonus based on performance and company profitability

• 13th cheque equal to your net salary paid in December based on the joining date

• Hybrid work Policy and flexible hours

Please note that the salary for this position is commensurate with experience and qualifications and will be discussed during the interview process.

Location

• Nyarutarama, Kigali, Rwanda

Application Deadline

• September 30,  2025

We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. We're on a mission to change our continent through technology and are committed to a diverse and inclusive workplace and strongly encourage applicants from all backgrounds, nationalities, and walks of life.

Our head office is based in Kigali, Rwanda.

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