Cash and Markets Coordinator (Database) Ukraine

The Cash and Markets Database Coordinator is responsible for managing, maintaining, and improving the cash programme database and digital platform to ensure accurate, timely, and secure data processing. The role involves data intake, oversight, quality control, data protection, and reporting, working closely with programme and MEAL teams to ensure compliance with data management standards and contribute to tool and procedure development.

Responsibilities

• Adhere to NRC policies, guidance and procedures.
• Manage, maintain and improve NRC cash database and digital platform.
• Support and contribute to the development and implementation of cash data systems including procedures, guidance and tools.
• Oversee NRC’s digital cash assistance open application system and unified cash transfers data processing.
• Ensure timely and reliable data management in line with data protection policies and organizational standards.
• Conduct data quality control and ensure data consistency and integrity.
• Provide technical guidance and capacity building to teams and partners.
• Develop and maintain data visualization tools and support data interpretation for reporting and decision-making.
• Prepare internal and external reports, in line with MEAL and donors requirements.
• Identify opportunities and recommend solutions to improve information management processes.
• Oversee the digital Open Application platform including server preparation, testing, data intake, data storage and processing, server & application monitoring and bug handling.
• Build and update forms using XML or Xform for Kobo toolbox.
• Create and maintain documentation for existing data manipulation scripts and pipelines.
• Build and run Python or R scripts to collect data via pipeline API or other database connections for processing datasets.
• Build and maintain ad-hoc and recurrent datasets and master lists.
• Manage self-check tool back-end and messaging to project participants.
• Develop data pipelines and integrations/features within the customer relationship management platform.
• Perform regular backups and disaster recovery testing to ensure database integrity.
• Liaise with software service providers on development of new data models, updates, and repairs.
• Implement regular data quality assessments to identify discrepancies or gaps; implement reconciliation as needed; identify root cause and propose improvements.
• Conduct activity reporting, growth tracking, and prepare operational reports.
• Ensure timely and accurate reporting of project output, outcome, and participant-level achievements.
• Extract, format and clean data for monthly reporting to NRC GORS system and ensure ongoing data quality checks.
• Ensure availability of required data and disaggregation for donor reporting.
• Share datasets periodically with MEAL team for outcome monitoring survey process.
• Ensure alignment with data protection policies and technical safeguards.
• Coordinate with other NRC departments and organizations.

Requirements

• University degree in Information Technology, Computer Science, Statistics, Data science, Data management or analytics or a related field.
• Minimum 3 years of experience in a similar role.
• Experience managing large databases.
• Deep understanding and expertise in Python, SQL, Relational databases, and Excel.
• Ability to use SQL for database management and analysis.
• Documented results related to the position’s responsibilities.
• Experience with facilitating and leading internal organisational processes.
• Experience with data collation tools like Kobo, ODK.
• Fluency in English, both written and verbal.
• Experience working with API’s.
• Experience with backend or data engineering.
• Experience with data modelling and data analysis tools.
• Ability to oversee data systems and processes.
• Ability to work under pressure.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Preferred experience in modern backend programming language (Python preferred).
• In–depth understanding of data structures and other computer science fundamentals.
• Experience in building secure systems.

Skills

• Database Management
• Python Programming
• SQL
• Relational Databases
• Excel
• Data Analysis
• Data Modelling
• Data Engineering
• API Integration
• Backend Programming
• Data Structures
• Data Protection
• Data Quality Assurance
• Kobo
• ODK
• Information Technology
• Computer Science Fundamentals
• Secure Systems Development
• Organisational Process Facilitation

Languages

English