About the company
Interested in working on cutting-edge blockchain technology and creating equitable access to the global financial system? Since 2014, the mission-driven team at the Stellar Development Foundation (SDF) has helped fuel the tremendous growth of the Stellar blockchain network, an open-source platform that operates at high-scale today. Developers and companies around the world build on it, and the SDF team is expanding to support the rapidly growing and changing Stellar ecosystem. The launch of Soroban, the new smart contracts platform designed to work well with Stellar, brings a wealth of opportunity for innovation. When you join SDF as a Community Manager, you will be a part of a team that’s leveraging that opportunity to increase developer participation in order to bootstrap the ecosystem of tools, protocols, dapps, and educational resources necessary for Soroban to succeed.
Job Summary
In this role, you will:
📍Support data-driven decision-making by answering questions that craft a clear understanding of SDF’s progress 📍Collaborate with business stakeholders to gather and document data, analytics and reporting requirements 📍Define key performance indicators (KPIs) and make business recommendations 📍Conduct end-to-end analyses, and build visualizations and reporting that enable data-driven decision-making 📍Communicate compelling and practical insights from data analysis and present them regularly 📍Develop strategies for effective data analysis and reporting 📍Collaborate cross-functionally with a variety of roles (e.g. engineers, business development, executives)
Qualifications:
📍Bachelor's or Master's degree in Finance, Statistics, Mathematics, Business Administration, or a related field 📍Solid understanding of business processes and ability to translate business requirements into technical specifications 📍Excellent presentation and communication skills 📍5+ years’ of active experience as a Business Analyst or equivalent role 📍Strong analytical and problem-solving skills with the ability to work with complex data sets and synthesizing data insights into actionable recommendations 📍Proficiency in data querying and data analysis over large data sets, using SQL 📍Familiarity with data visualization tools
