Provincial ASP Data and Information Management Advisor (South Kalimantan) – Special Assignment Cluster anchored to ASP-Project

The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH is a German federal enterprise. We work to shape a future worth living in over 120 countries around the world.

Provide professional advice to FPRB SoKal and other ASP key stakeholders on data and information systems at the SoKal province within the ISASP project and beyond.
Support the SoKal government through FRPB SoKal to standardized data and information architecture for ASP, following the life cycle of data development.
Advice the local institutions’ members of FPRB SoKal on building integrated data and information for livelihoods model development in 6 villages across SoKal.
Design, prepare, and implement a series of tailor-made capacity development measures for Output 3 in SoKal.
Assist the project in drafting the ASP provincial strategies on the data and information system.
Assist the ISASP project and partners in strategy development, both at national and provincial levels, related to data and information systems, particularly under Output 3.
Representation of the ISASP project in stakeholders’ coordination meetings on data and information systems in SoKal.
Assist the Cluster Coordinator and Country Director on overarching issues related to implementing the GIZ corporate strategy (e.g., Vision 2028).

At least 5 years of international development experience (bilateral and/or multilateral organisations, consultancies) and subnational working experience is preferred.
At least 3 years of relevant experience leading data analytics, research, and data science in the Adaptive Social Protection (ASP) sectors (e.g., disaster risk management, climate change adaptation, social protection).
At least 3 years of experience in advising government stakeholders in implementing activities related to data and information systems in SoKal. This includes tasks such as implementing training/capacity development on how to interpret and use large datasets (e.g., Satu Data Indonesia (SDI), DTSEN, Satu Data Bencana (SDB), InaRISK, Ina-Geoportal)
Proficiency in quantitative and qualitative data analysis for large, complex, and diverse datasets, as well as the use of statistical software like R, SPSS, or Python. Advanced proficiency with spreadsheet programs (such as Google Sheets and Microsoft Excel) is required for data cleaning, basic analysis, transformation, and reporting.
Proven experience in data collection methodologies, including survey design, data collection methods, and the use of Mobile Data Collection tools (such as KoBo, Avenza map, and GPS Essential).
At least 3 years of relevant experience using data visualisation tools and/or GIS analysis and modelling to effectively communicate findings and insights that support decision-making in sub-national governmental planning, program implementation, and monitoring and evaluation in the ASP sectors.
Vast field experience in disaster environments and an in-depth knowledge of Indonesia’s disaster risk management data and information systems.
Outreach and support the partner organisations and other relevant stakeholders of data and information best practices institutions.