Data Management Specialist
vor 4 Wochen
We are seeking a highly skilled Data Management Specialist to support our Global Programmes team in Geneva.
The Data Management Specialist will play a key role in the development and maintenance of data cleaning and analysis workflows, including the creation and optimization of scripts, dashboards, and SQL databases. They will actively engage in identifying, testing, and implementing new software solutions aimed at streamlining operations and improving data processing efficiency and analysis.
The Data Management Specialist is responsible for:
DATA MANAGEMENT
- Data management of market-monitoring datasets, and cross-checking data collected in the field;
- Developing cleaning and analysis (descriptive, hypothesis testing, correlation, and regression analyses) scripts in R;
- Contributing to the automatization of data analysis;
- Assisting with the management and maintenance of a SQL Database (no SQL-specific expertise required).
INFORMATION MANAGEMENT
- Developing R Shiny dashboards;
- Providing information management support to other team members, or humanitarian stakeholders;
- Other tasks falling within their functions as requested by supervisors.
The Data Management Specialist will maintain the strictest confidentiality on all data collected and related processes, ensuring full compliance with IMPACT's data protection policy and SOPs. They will actively take measures to prevent the unauthorized sharing of any information and data belonging to IMPACT and its partners or collected during their assignment with IMPACT.
COMPENSATION AND BENEFITS
- For this position, gross salary is 1'450 CHF monthly (before income tax). NB – IMPACT salaries are strictly determined by our salary grid depending on the grade of the position and the level of education and experience of staff. A contribution to medical insurance of 450 CHF per month is already included in the salary figure.
- Applicants must hold a valid work permit for Switzerland or be EU/EFTA citizens.
- Up to 40% of remote work on a weekly basis.
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