About Ground Truth Solutions
Our mission is to ensure that people affected by crises have a say in humanitarian action, from individual aid projects to global humanitarian reform. To achieve this, we collect feedback from people at the receiving end of aid. We challenge and encourage aid agencies to use this feedback to optimise their work. We influence policymakers, governments, and aid agencies to bring change to the humanitarian, health and environmental sectors.

About our work culture
We are a committed team of professionals who take the responsibility of receiving funds to work toward aid reform seriously. We strive for excellence, constantly challenging the status quo (internally and externally), and conducting ourselves with discipline, creativity, curiosity, boldness and candour. We seek diverse viewpoints and learn from partners and people affected by crisis. We work hard, we communicate directly and along the way, we have fun. We are a small, agile organisation trying to change complex systems; not a bureaucracy. This is not for everyone. Our culture best suits those who like being part of the solution, believing things can change, demonstrating agency and working creatively and collaboratively on complex issues. If this sounds like an environment you would grow and thrive in, keep reading.

The job
Responsibilities

Works in in a team and independently on day-to-day data analysis of quantitative perception surveys, independently conducting analysis of standardised survey data

Continually improves our analysis tools

Collaborates closely with other team members across the organization and provides advice on how best to report and visualise findings of quantitative data collection

Processes internal and external data requests

Supports on sampling and research design of surveys, balancing data integrity with programmatic realities in humanitarian contexts

Data quality control and data cleaning

Updating our database of humanitarian feedback data

Engages with project partners in mutual support and learning across cultures

Core requirements

Experienced in quantitative data analysis using R and Python

Sound knowledge of statistics

Strong analytical skills with attention to detail and accuracy

Pragmatism needed to work in humanitarian context

Excellent written and spoken communication skills in English (working proficiency in French, Spanish, German or Arabic is a plus)

Degree: social or natural science, engineering

Desirable

Expertise in survey design and sampling

SQL skills, familiarity with xls forms

Experience with Github and Dockerfiles

Experience with Azure AI Foundry, proficiency with RAG architectures

Skills in data visualisation and communication

Experience in customer satisfaction research, political polling or in the development and humanitarian sector

Please send your resume/CV