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Data Management Officer

Posted 59 minutes 19 seconds ago by Concern Worldwide

Permanent
Full Time
Other
Dublin, Dublin, Ireland
Job Description

Job Title: Data Management Officer

Reports to: Global Technical Advisor for Data Management

Terms: Fixed-term, Full-time, 2 years, Hybrid (50% office attendance)

Salary: GB5 (€47,539 - €52,821)

Role Purpose

As part of Concern Global Data Management team, you will provide support to Concern countries in all aspects of data management, including support for collection, analysis and use of quantitative data collected via Concern's DDG system. This role will focus specifically on supporting the technical aspects of Concern's Digital Data Gathering system - managing the day to day running of the survey request system, ensuring adherence to GDPR standards, rollout of application updates, supporting the implementation of ETL processes designed by the Data Management Advisor, including API endpoints and DBMS, for use in Power BI dashboards and reports.

Managing the survey request system
  • Maintain an online survey tracker system on Sharepoint
  • Coordinate building of digital surveys and tools on iFormBuilder as per requests from countries, prioritising where necessary according to protocols
  • Manage data anonymization processes for data collected on Concern's DDG system
  • Lead on the building of digital versions of new standard indicators and data collection tools in XLSForm format that will be used across all Concern programmes
Communication
  • Lead on iForm Builder communication including weekly calls with Zerion
  • Liaise with Concern's HO's IT team and technical advisers from the SAL Directorate
  • Communicate technological solutions to M&E problems clearly to non-technical people, including Concern's staff in field locations
  • Update Concern's Programme Quality (PQ) Guide with all standard indicators, tools and related guidance
Data Collection & Management
  • Support the management and monitoring of data collected via Kobo Toolbox, ensuring data completeness, accuracy, and timeliness
  • Assist with data cleaning, validation, and basic quality checks on incoming datasets
Database Support
  • Assist in maintaining relational databases used to store Kobo and other data sources
  • Support routine database operations such as data uploads, backups, and basic performance checks
  • Help organize and manage data tables to ensure consistency and usability for analytics
  • Facilitate standardisation of non-standard content (e.g., country-based choice lists) to minimise schema drift
ETL Pipeline Support
  • Support the development, execution, and monitoring of ETL pipelines that move data from Kobo into databases and analytics environments
  • Work on automated cleaning and QA scripts through the standard pipeline
  • Assist with scheduled data refreshes and troubleshoot basic ETL errors under guidance from senior staff
  • Help implement simple data transformations required for reporting and analysis
Reporting & Analytics Support
  • Prepare datasets for use in Power BI reports and dashboards
  • Assist in validating data displayed in Power BI against source systems
  • Support routine refreshes and maintenance of existing Power BI reports
Collaboration & Learning
  • Work closely with data scientists, data engineers, and program teams to understand data needs
  • Follow data governance, privacy, and security guidelines
  • Continuously build skills in databases, ETL tools, and data visualization
General
  • All staff are responsible for upholding and promoting Concern's values, including workplace equality, diversity and inclusion, and safeguarding values
  • All staff are required to participate and contribute as necessary towards Concern's emergency response when required
Requirements
  • Bachelor's degree in computer science, Data Science, Information Systems, Statistics, Engineering, or a related field
  • Basic understanding of databases and SQL
  • Experience or exposure to ETL concepts
  • Familiarity with data concepts such as data cleaning, data validation, and structured datasets
  • Strong attention to detail and willingness to learn
  • Good communication skills and ability to work in a team environment
Desirable
  • Experience in Python
  • Experience working overseas
  • Ability to work in French
  • Experience of using AI for data analysis and general problem solving
Competencies
  • Managing Yourself
  • Planning and decision-making
  • Individual leadership
  • Creativity and innovation
  • Communication and working with others
  • Influence, advocacy and networking
  • Delivering results
  • Change
EEO Statement

We encourage all eligible candidates, irrespective of gender, ethnicity or origin, disability, political beliefs, religious beliefs, sexual orientation, or socio-economic status to apply to become a part of the organisation. Concern is against all forms of discrimination and unequal power relations and is committed to promoting equality.

Code of Conduct

Any candidate offered a job with Concern Worldwide will be expected to sign the Concern Staff Code of Conduct and Associated Policies as an appendix to their contract of employment, acknowledging that they have understood and agreed to conduct themselves in accordance with the provisions of these policies.

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