Data Quality Specialist

The Data Quality Specialist is responsible for creating reports, structured and quality data sets, and contributing to data cleaning and migrations within the Protection Digital Ecosystem. They support data managers and National Societies by improving data quality monitoring, creating visualizations, and optimizing reports to support evidence-based decision-making.

Responsibilities

• Assist in improving, developing & applying data quality monitoring processes & tools (reports, dashboards etc) and contribute where appropriate in data quality controls automation
• Apply best practices, standards, guidelines and templates for data and analytics, and work on continuous improvement and optimization of reporting and analytics
• Contribute to preparation, adaptation and execution of data cleaning jobs to correct identified global or delegation-specific inconsistencies
• Support colleagues in National Societies, in the PROT Data unit, as well in other parts of the PROT unit in general, in building SQL queries and designing reports
• Execute controls in the process of validation of yearly and mid-term statistics
• Produce and update documentation relating to data quality and quality controls
• Create structured, high quality and ready to use data sets on a recurring and ad hoc basis to enable evidence-based decision-making or use of data in daily activities
• Regularly update existing dashboards and support the Protection Division to adapt existing dashboards to their needs
• Review and optimize all existing reports and dashboards in the Protection digital tools/solutions
• Support the delivery of new solutions and enhancements for existing solutions and Platforms’ setups
• Test new technologies, as the evolution of the tools progresses, and participate in the development with regular contributions
• Report bugs & problems, suggest improvements and share lessons learned to the Project Manager/Product Owner

Requirements

• Advanced university degree preferably in Mathematics, Engineering, Computer Science, Statistics, or a similar technical field
• Knowledge and use of SQL (any flavour: MS SQL-TSQL, MySQL, PostgreSQL) is a must
• Excellent computer literacy (MS Word, Excel)
• Storytelling ability through visually clear reports and dashboards, both dynamic and static
• Fluent in English (both written and spoken) - B1 minimum
• Knowledge of French and Spanish is an asset
• At least 2 to 4 years of proven experience in a relevant field
• Experience in data analysis, statistical methods, and data visualization, with a strong preference for Power BI
• Interest in data, methodologies and passion of bringing it to use for ICRC work
• Ability to adapt to varying workloads and to work under pressure with very short deadlines in a constrained technological environment
• Well-organized, meticulous, creative and open-minded with a scientific approach to solving problems
• Team player with strong verbal and written communication skills, particularly with multicultural stakeholders
• Ability to interact effectively with data managers, data users, managers, and other stakeholders

Skills

• SQL
• MS SQL-TSQL
• MySQL
• PostgreSQL
• Data Analysis
• Statistical Methods
• Data Visualization
• Power BI
• Report Writing
• Dashboard Design
• Data Quality Monitoring
• Data Cleaning
• Data Migration
• Computer Literacy
• MS Word
• Excel
• Scientific Problem Solving
• Stakeholder Engagement
• Multicultural Communication

Languages

English, French, Spanish