Data Quality Analyst

Job not on LinkedIn

🔥 15 hours ago

🦁 Africa – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Imagine Worldwide

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

📚 Education

🤝 Non-profit

🌍 Social Impact

Education • Non-profit • Social Impact

Imagine Worldwide is a non-profit organization dedicated to empowering children globally through child-directed, tech-enabled learning. They provide high-quality education focused on literacy and numeracy, partnering with governments, organizations, and communities to ensure accessibility and affordability of learning resources. Their innovative approach aims to unlock each child's potential, improving health, wealth, and social outcomes in underserved regions across Africa and beyond.

📋 Description

• Monitor completeness, consistency and plausibility of data across sources and identify issues independently • Design and implement data quality checks and recommend additional controls across pipelines and source systems • Develop tooling and automated monitoring with the Analytics Engineer • Reconcile figures across related sources and investigate discrepancies • Contribute to data quality reporting, rules and standards • Investigate data issues and trace root causes across source systems, pipelines and data models • Work with the Analytics Engineer, MEAL and country teams to resolve issues at source and confirm resolution • Handle assigned data quality and data export requests • Document findings and hand over issues requiring deeper analysis, reporting changes or engineering work • Support the data quality incident process with evidence for decisions • Write concise summaries covering issue cause, impact and recommended action • Report data quality status to the Analytics Team and source-data owners • Use charts and tables to show issue scope and impact • State data limitations clearly • Maintain reproducible checks and analyses using version-controlled code and notebooks • Follow and improve standards for code, documentation and data use • Use shared data models and agreed metric definitions • Seek methodological review and provide constructive review of colleagues’ work • Build knowledge of Imagine’s data, programmes and operating contexts • Handle sensitive data in line with data governance and privacy policies • Report to the Director of Analytics and work closely with the Data Scientist

🎯 Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or a related quantitative field, or equivalent practical experience • At least 3 years in a data analyst or closely related quantitative role • Experience monitoring, validating or reconciling data and tracing issues to their source • Experience working with imperfect real-world data and explaining its impact on results • Experience building automated checks or reports that others rely on • Experience communicating findings in writing to non-technical readers • Experience working with remote teams across multiple countries and time zones • Strong SQL, including joins, aggregations and window functions across large tables • Proficiency in at least one key programming language, such as Python, for automation, data analysis and reproducible research • Data profiling and validation techniques, including completeness, consistency and plausibility checks • Applied statistics for identifying anomalies, including distributions, outliers and trends • Clear data visualisation • Reliable internet access • Alignment with core working hours across time zones • Ability to work independently in a virtual environment and coordinate with colleagues across global teams • Experience in the non-profit, international development or social sector is advantageous but not required • Experience querying analytical or columnar databases, data quality testing frameworks, reproducible workflows using notebooks and Git, data pipelines, dbt-modelled data warehouses, field data tools, BI tools or spreadsheet tools is preferred or advantageous

🏖️ Benefits

• Full-time remote work • Opportunity for occasional international travel for in-person team meetings, field support or training • Equal opportunity employer