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 thatās 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:
šSupport data-driven decision-making by answering questions that craft a clear understanding of SDFās progress šCollaborate with business stakeholders to gather and document data, analytics and reporting requirements šDefine key performance indicators (KPIs) and make business recommendations šConduct end-to-end analyses, and build visualizations and reporting that enable data-driven decision-making šCommunicate compelling and practical insights from data analysis and present them regularly šDevelop strategies for effective data analysis and reporting šCollaborate cross-functionally with a variety of roles (e.g. engineers, business development, executives)
Qualifications:
šBachelor's or Master's degree in Finance, Statistics, Mathematics, Business Administration, or a related field šSolid understanding of business processes and ability to translate business requirements into technical specifications šExcellent presentation and communication skills š5+ yearsā of active experience as a Business Analyst or equivalent role šStrong analytical and problem-solving skills with the ability to work with complex data sets and synthesizing data insights into actionable recommendations šProficiency in data querying and data analysis over large data sets, using SQL šFamiliarity with data visualization tools
