• Review and analyze changes in public voter registration data and absentee ballot data • Provide election officials with timely insights and answers to data questions • Write and present accessible data reports • Conduct legal/policy research for context in reports • Partner with colleagues across Protect Democracy for data analyses and custom tools • Expand and enrich current data with external datasets • Create and refine standards for reporting and best practices • Build and maintain relationships with partners in the election community

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for: As a Data Analyst at Circle, you'll work closely with business partners to better understand our products, better understand the ecosystem, and enable better decision-making with data. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. One of our big bets is on payments. We've announced our Circle Payment Network and are committed to building an amazing payments product onchain. If you are curious about data, enjoy deriving insights, have experience improving data insights, have experience in payments, and are motivated by impacting business, we want to hear from you. What you'll work on: - Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights - Perform strategic analysis and research to identify new opportunities where business can be improved - Create data visualizations to translate analytic results for broad understanding across the business - Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team - Partner with leaders effectively employing clear and structured communication to tell a "story" focused on business insights & data - Develop strategic problem-solving, quantitative analytics, and communication skills What you'll bring to Circle: - Bachelor's Degree or equivalent experience in a quantitative major (Finance, Accounting, Economics, Mathematics, Engineering) - Strong analytical and data skills, including top notch SQL skills. Ideally (but not necessary to apply), you will also be able to build simple pipelines to help scale yourself - Good communication skills - be able partner across the organization and identify business needs and difficulties, articulate issues clearly and concisely, and present effectively in both oral and written presentations to all levels in the organization - Strong business sense and the ability to work through complex and ambiguous business requirements - Self-starter - an entrepreneurial spirit that thrives in a fast-paced environment, deals well with ambiguity and focuses on driving impact - Prior experience with visualization using Superset, Tableau or similar BI tools - Prior experience with payments, crypto, or both is highly desired Senior Data Analyst (III) - 4+ years of industry experience in data analytics - Expert in data analyses using SQL - Basic understanding of Python is an added advantage - Good understanding of statistics and experience applying them to solve business problems - Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, crypto ecosystem, or risk analytics Lead Data Analyst (IV) - 8+ years of industry experience in data analytics - Expert in data analyses using SQL - Deep understanding of statistics and experience applying them to solve business problems - Domain expertise in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $152,500 - $205,000 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

• Insight that drives product decisions. • You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you're in the room. • Player-coach leadership. • You manage and develop a team of product analysts across our highest-priority charters. You take the hardest, highest-leverage work yourself — and make everyone around you better at theirs through hiring, coaching, and the standards you set. • Accountable for growth outcomes. • You're measured on the business impact of the decisions analytics influences — conversion, retention, revenue per lead — not on the volume of analyses produced. You operate across product areas, experiments, and data sources, surfacing patterns and strategic bets that siloed analysis misses, and you shift how leadership thinks about growth. • Deep customer and business awareness. • You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews. • Experimentation at portfolio scale. • Own experiment strategy across your product areas — design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows. • AI system quality and judgment. • Our agents pull data, read configs, and produce draft analyses. You own the quality of that output across the team — validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always. • Raising the bar for the entire team. • You set the standard for how AI and analytical rigor work collaboratively. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster — you make it the team's new baseline, and you make sure the team can execute it without you.

• Atuar em colaboração com os times de Crédito, incluindo as áreas de Política, Análise, Monitoramento e Cobrança. • Conduzir projetos de Data Science de ponta a ponta, desde a definição e recorte do problema com Produto/Operações, criação da solução, experimentação, até a entrega em produção • Realizar rotinas de acompanhamento de data drift e concept drift, utilizando frameworks como NannyML. • Realizar estudos, identificar padrões e insights que colaborem para a eficiência da nossa operação de Crédito. • Desenvolver e realizar a manutenção de métricas, KPIs, relatórios e dashboards sobre os nossos produtos e operação de Crédito. • Manter-se atualizado(a) em melhores práticas de Data Science aplicada e produtividade em desenvolvimento (incluindo ferramentas de desenvolvimento assistido por IA), avaliando e propondo melhorias que façam sentido para o contexto e qualidade de entrega.