Simprints is a nonprofit tech company with a mission to radically increase transparency and effectiveness in global development. We build ethical, inclusive digital ID powered by biometrics to verify that health, aid, and services truly reach people. Simprints partners with organizations like Gavi to boost immunization rates in developing countries, Ministries of Health like Ghana on pandemic response, and NGOs like BRAC to deliver maternal healthcare. Studies have shown Simprints increases impact through real-time, precision data, for example increasing maternal health visits by 38% in Bangladesh or accurate HIV tracing by 62% in Malawi. Today we’ve worked in over 17 countries helping deliver health, aid, and finance to >3M people. Our goal is to transform the way the world fights poverty, ensuring that every vaccine, every dollar, and every public good reaches the people who need them most.

TECHNICAL SKILLS

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• Proficiency in SQL and data transformation pipelines

• Strong working knowledge of Python or R for analysis, cleaning, and automation
• Ability to turn data into stories using tools like Looker Studio, Power BI, or Tableau
• Comfortable working with cloud-based platforms and spreadsheets (e.g. GCP BigQuery, Jupyter notebooks, Google Sheets)
• Understanding of A/B testing, regression models, and evaluation methods

ABOUT THE ROLE

As a Senior Data Analyst you will lead complex analyses that inform strategic decisions across our delivery, operations, fundraising, and product teams. You will provide clean, reliable, and actionable insights that enable our teams and partners to act on real-world data from the field. We would like to see a minimum of 5 years of experience in advanced analytics role in similar environments for this role.
In this role, you will work closely with data scientists, project managers, and global health partners to improve the efficiency and impact of our projects. You’ll help Simprints and its funders understand patterns of biometric usage, drive operational excellence, and shape strategic decisions with evidence-backed insights. You should be comfortable building robust queries and models, creating dashboards, analysing complex datasets, and building reporting mechanisms that guide teams to data-driven decisions.

KEY RESPONSIBILITIES

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• Lead analysis of field data to uncover trends and suggest improvements to biometric usage, training, and system configuration

• Build dashboards and reports that communicate performance and impact to internal teams and external partners
• Design and support evaluation frameworks to validate data quality and service delivery in complex health and development settings
• Collaborate with product and engineering teams to ensure data flows efficiently through pipelines and systems
• Align with fundraising and operations teams to generate insights for funder reporting, business development, and operational KPIs