• Teach engaging topics in Data Science and Data Analytics. • Conduct hands-on workshops covering topics such as Python, SQL, Pandas, Tableau, and Machine Learning. • Guide and support students through projects and assignments. • Collaborate with other instructors to refine and improve teaching materials. • Provide feedback, mentorship, and motivation to students. • Participate in student evaluations, final project mentoring, and classroom events.

• Define and own the Foundation’s data strategy—what we measure, why it matters, and how it informs decisions across the organization • Lead a team of analysts and analytics engineers, each owning a specific ecosystem vertical, and synthesize their work into a coherent cross-vertical perspective • Own relationships with the Foundation’s ecosystem data providers, ensuring coverage, quality, and methodological rigor • Work closely with client teams (like Anza, Firedancer, Jito, Temporal, etc.) on data-driven assessments of Solana protocol upgrades • Drive the data infrastructure roadmap and make decisions on tooling, gaps, and new partnerships • Represent the Foundation’s data perspective in executive conversations and external forums

• Act as the primary liaison between Product Analytics and Data/BI teams, aligning on data needs and priorities. • Define data requirements and support event taxonomy design. • Ensure data quality, consistency, and governance standards across datasets. • Support scalable reporting and dataset optimization aligned with enterprise data strategy. • Define and oversee experimentation standards, ensuring statistical validity and consistency. • Review experiment results and analytical outputs to ensure quality and accuracy. • Coach analysts on statistical thinking and analytical frameworks. • Drive continuous improvement of experimentation practices across teams. • Mentor and support Product Analytics Analysts in their technical and professional growth. • Support product roadmap prioritization through data-driven insights. • Translate complex analyses into clear, strategic recommendations. • Present insights to senior stakeholders and leadership.

• You apply VIDA’s spatial analysis tools and prepare our software for real-life projects - these can range from energy access planning to agriculture or climate risk assessment. • You improve, automate, and extend our workflows with Python and SQL scripting. • You explore, pre-process and integrate new datasets and map layers into the VIDA software. • You explore and implement new spatial data analysis methods, for example by using Machine Learning methods and sector-specific modelling frameworks. • You ensure clear documentation, reporting, and communication across all project phases. • You ensure project outputs (VIDA software products and reports) meet technical quality standards and are accessible to end-users. • You interact with our international project partners and clients, and prepare/present your work in reports and presentations, both in English and French. • You facilitate workshops, trainings, and meetings to ensure alignment and adoption of project outcomes, both in English and French.