Data Quality Analyst

This is a fully remote position, open to applicants in Africa.

📋 Description

• Oversee the completeness, consistency, and plausibility of data from various sources while independently identifying issues.

• Create and implement data quality checks, and suggest additional controls for pipelines and source systems.

• Collaborate with the Analytics Engineer to develop tools and automate monitoring processes.

• Reconcile data figures from related sources and investigate any discrepancies.

• Contribute to the establishment of data quality reporting, rules, and standards.

• Analyze data issues and trace root causes across source systems, pipelines, and data models.

• Collaborate with the Analytics Engineer, MEAL, and country teams to address source issues and confirm their resolution.

• Manage assigned data quality and export requests.

• Document findings and transfer issues that require further analysis, reporting changes, or engineering efforts.

• Assist in the data quality incident process by providing evidence for decision-making.

• Compose concise summaries detailing the cause, impact, and recommended actions for issues.

• Communicate data quality status to the Analytics Team and owners of source data.

• Utilize charts and tables to illustrate the scope and impact of issues.

• Clearly articulate data limitations.

• Maintain reproducible checks and analyses using version-controlled code and notebooks.

• Adhere to and enhance standards for code, documentation, and data utilization.

• Utilize shared data models and agreed-upon metric definitions.

• Seek methodological reviews and offer constructive feedback on colleagues’ work.

• Enhance understanding of Imagine’s data, programs, and operational contexts.

• Manage sensitive data in accordance with data governance and privacy policies.

• Report directly to the Director of Analytics while closely collaborating with the Data Scientist.

⛳️ Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science, or a related quantitative discipline, or equivalent practical experience.

• Minimum of 3 years in a data analyst or a closely related quantitative position.

• Experience in monitoring, validating, or reconciling data and tracing issues back to their source.

• Familiarity with handling imperfect real-world data and articulating its impact on results.

• Proven experience in developing automated checks or reports that others depend on.

• Ability to communicate findings in writing to non-technical audiences.

• Experience working with remote teams across various countries and time zones.

• Proficient in SQL, including joins, aggregations, and window functions across large datasets.

• Proficient in at least one key programming language, such as Python, for automation, data analysis, and reproducible research.

• Knowledge of data profiling and validation techniques, including checks for completeness, consistency, and plausibility.

• Understanding applied statistics for identifying anomalies, including distributions, outliers, and trends.

• Skill in clear data visualization.

• Reliable internet access.

• Availability to align with core working hours across different time zones.

• Capability to work independently in a virtual setting and coordinate with colleagues across global teams.

• Experience in the non-profit, international development, or social sector is a plus, though not mandatory.

• Familiarity with 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 beneficial.

🏝️ Benefits

• Full-time remote work opportunity.

• Potential for occasional international travel for in-person team meetings, field support, or training.

• Equal opportunity employer.