Ready to be pushed beyond what you think youre capable of? At Coinbase, our mission is to increase economic freedom in the world. Its a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, were seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the companys hardest problems. Our \\work culture\\ is intense and isnt for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, theres no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. \\TL;DR\\ We're hiring an Analytics Engineer to join the GFCO Analytics Engineering team and build the data foundations that power customer experience and compliance operations at Coinbase. You'll own end-to-end data pipelines, develop trusted metrics, and enable CX stakeholders to make faster, better decisions with clean, reliable data. This is a high-impact role where you'll directly influence how we serve and protect our customers while scaling our analytics capabilities. \\Ownership & impact\\ In this role, you will: \\\ Own the design, build, and maintenance of data models and pipelines that support CX operations, compliance reporting, and customer insights ensuring data is accurate, timely, and well-documented. \\\ Partner with CX Operations, Compliance, and Product teams to understand business needs, translate them into data requirements, and turn them into clear recommendations or self-serve analytics solutions that reduce manual effort. \\\ Build and maintain pipelines, dashboards, metrics, and reporting tools that give CX leaders visibility into performance, customer trends, and compliance health. \\\ Leverage data to make clear recommendations that result in better outcomes for CX Ops, GFCO, and Compliance. \\\ Drive data quality and governance within the CX data domain implementing testing, monitoring, and documentation standards that ensure stakeholders can trust the data. \\\ Identify opportunities to automate recurring data workflows and reporting processes, shifting the team from reactive requests toward scalable, self-serve solutions. \\\ Collaborate with the broader Data Engineering and Analytics teams to align on best practices, share learnings, and contribute to Coinbase's overall data infrastructure. \\Minimum qualifications\\ \\\ 3+ years of experience in analytics engineering, data engineering, or a related data role, with hands-on experience building and maintaining data pipelines and models. \\\ Strong proficiency in SQL and experience with modern data stack tools such as dbt, Airflow, and cloud data warehouses (Snowflake, Databricks, or similar). \\\ Experience with data modeling concepts (dimensional modeling, star/snowflake schemas) and building trusted, well-documented data products. \\\ Familiarity with BI/visualization tools (Looker, Tableau, or similar) and experience building dashboards and self-serve analytics solutions. \\\ Strong communication skills with the ability to partner effectively with non-technical stakeholders and translate business needs into data solutions. \\\ Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., Claude, Cursor, LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. \\Nice to haves\\ \\\ Experience working with customer experience, operations, or compliance data including metrics related to case handling, SLAs, AML, or transaction monitoring. \\\ Experience with Python for data manipulation, automation, or pipeline development. \\Job ID: P76395\\ \\Pay Transparency Notice:\\\\ \\Depending on your work location, the target annual \\base \\salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $152,405$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the \\Employee Rights\\ and the \\Know Your Rights notices\\ by clicking on their corresponding links. Additionally, Coinbase participates in the \\E-Verify program\\ in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations\\[at\\]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site\\ click here to download\\ a free compatible screen reader\\ (free step by step tutorial can be found here)\\. \\Global Data Privacy Notice for Job Candidates and Applicants\\ Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available \\here\\. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined \\here.\\ \\AI Disclosure\\ For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. \\The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment\\*. To request a reasonable accommodation due to disability, please contact accommodations\\[at\\]coinbase.com

The role requires a minimum of three years of experience in analytics engineering, data engineering, or a related data role, with practical experience in building and maintaining data pipelines and models. Strong proficiency in SQL and familiarity with modern data stack tools such as dbt, Airflow, and cloud data warehouses like Snowflake or Databricks are necessary. Experience with data modeling concepts, including dimensional modeling and star/snowflake schemas, and the ability to build well-documented data products are also required. Candidates should be familiar with BI/visualization tools like Looker or Tableau and have experience creating dashboards and self-serve analytics solutions. Strong communication skills are essential for effective collaboration with non-technical stakeholders and translating business needs into data solutions. The ability to responsibly use generative AI tools and copilots in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements is also a requirement.