Staff Analytics Engineer

📋 Description

• • As a Staff Analytics Engineer at Coinbase, you will play a pivotal role in bridging the gap between data engineering, data science, and business analytics. Your primary responsibility will be to architect, build, and maintain scalable and impactful data solutions that transform raw data into actionable insights.
• • You will be instrumental in developing robust data pipelines, designing sophisticated data models, and creating intuitive tools that empower stakeholders across the organization to make informed, data-driven decisions.
• • This role functions as a force multiplier, enabling the Analytics and Operations teams to operate seamlessly and efficiently at scale, driving critical business outcomes.
• • You will translate complex technical and operational requirements into easily consumable front-end data solutions, ensuring that data is accessible and understandable for a wide range of users.
• • A significant aspect of your role will involve heavily influencing the overarching strategy for Customer Experience (CX) Analytics and its partner teams, ensuring alignment with business objectives.
• • You will be responsible for developing and maintaining foundational data models that serve as the single source of truth for analytics throughout the organization, prioritizing data quality, reliability, and usability.
• • Your work will directly empower stakeholders by translating intricate business requirements into scalable data models, insightful dashboards, and effective analytical tools.
• • You will foster strong cross-functional collaboration, partnering closely with engineering, data science, product, and business teams to ensure seamless alignment on priorities and the successful delivery of data solutions.
• • You will be tasked with building frameworks, tools, and workflows that maximize efficiency for data users, while rigorously maintaining high standards of data quality and performance.
• • The focus will be on delivering outcome-focused solutions, leveraging modern development and analytics tools to deliver value rapidly while ensuring long-term maintainability and scalability.
• • You are expected to quickly build deep subject matter expertise in specific business areas and data domains, gaining a comprehensive understanding of data flows from creation and ingestion through transformation and delivery.
• • This includes taking initiative to step into new lines of business, collaborating with Engineering and Product partners to deliver initial data pipelines and insights, and communicating effectively with engineering teams to resolve data gaps for downstream users.
• • You will take full initiative and accountability for identifying and fixing issues anywhere within the data stack, demonstrating a proactive and problem-solving mindset.
• • A key expectation is to generate significant business value by interfacing with stakeholders on data and product teams, delivering maximum commercial value from data both directly and indirectly.
• • This involves building new data models that enable multiple downstream Data Science teams to more easily unlock business value through experimentation and ad hoc analysis.
• • You will combine engineering details of algorithmic engines with statistical and data expertise to propose feasible solutions for improving algorithms.
• • You will collaborate with Product Managers to integrate new cross-product and cross-platform data into a holistic framework designed to optimize key financing product business metrics.
• • The role emphasizes a focus on outcomes rather than being tied to specific tools, encouraging the use of a variety of frameworks and paradigms to identify the best-fit tools for delivering value.
• • This includes developing new abstractions, such as User-Defined Functions (UDFs), Python packages, or dashboards, to support scalable data workflows and infrastructure.
• • You will be responsible for standing up frameworks for building data applications internally, empowering other Data Science teams to add value quickly.
• • When speed is the top priority, you will leverage established tools like Google Sheets and SQL with mastery to deliver impact efficiently.
• • You will be expected to possess out-of-the-box thinking, meticulous attention to detail, a strong sense of urgency, and a high degree of autonomy and accountability in your work.
• • The role requires a deep understanding of data elements and processes supporting successful Customer Support initiatives, including employee performance monitoring, workforce/staffing inputs, and the handling of sensitive Personally Identifiable Information (PII) across a broad stakeholder base.
• • You will be responsible for designing and engineering prompts for Large Language Models (LLMs) like GPT, including creating, refining, and optimizing prompts to enhance response accuracy, relevance, and performance for internal tools and use cases.
• • You will contribute to the development of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks, ensuring robust and scalable data infrastructure.
• • Your business acumen will be crucial in understanding and addressing complex business challenges through the application of analytics engineering principles and solutions.
• • You will be expected to maintain familiarity with statistical concepts and probability to inform your data analysis and modeling efforts.
• • You will also contribute to the development and maintenance of data visualization dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries, ensuring clear and impactful communication of insights.
• • Familiarity with version control systems like GitHub, Continuous Integration/Continuous Deployment (CI/CD) practices, and modern development workflows is essential for collaborative and efficient development.
• • You will be expected to collaborate effectively with cross-functional stakeholders, translating complex technical concepts into clear business value and managing projects efficiently across teams.
• • The role involves building, maintaining, and optimizing ETL/ELT pipelines using modern tools such as dbt, Airflow, or similar technologies, ensuring data integrity and timely delivery.
• • You will be expected to possess strong proficiency in advanced SQL techniques for data transformation, complex querying, and performance optimization.
• • Expertise in intermediate to advanced Python for scripting, automation, Object-Oriented Programming (OOP), and building scalable frameworks is a core requirement.
• • Strong understanding of best practices for designing modular and reusable data models, such as star schemas and snowflake schemas, is critical for building maintainable data architectures.
• • You will be a key contributor to the company's mission of increasing economic freedom in the world by building the emerging on-chain platform and the future global financial system.
• • You will embrace the challenge of working with high-caliber colleagues and actively seek feedback to continuously improve and level up your skills.
• • You will run towards solving the company's hardest problems, demonstrating resilience and a commitment to achieving ambitious goals.
• • While many roles at Coinbase are remote-first, you will be expected to participate in in-person team and company-wide offsites held multiple times annually to foster collaboration, connection, and alignment.
• • Your work will directly impact the ability of stakeholders to make data-driven decisions, contributing to the overall success and growth of Coinbase.
• • You will be a champion for data quality and reliability, ensuring that the insights derived from data are trustworthy and actionable.
• • You will have the opportunity to work with cutting-edge technologies and contribute to the evolution of the cryptocurrency and blockchain space.
• • This role offers a unique chance to leave your mark on the world by helping to build the future of finance.
• • You will be part of an intense but rewarding work culture, surrounded by individuals who excel in their disciplines and expect the same from you.
• • Your ability to translate business needs into technical solutions and vice versa will be key to your success in this role.
• • You will be empowered to take ownership of projects and drive them to completion, demonstrating a high level of autonomy and accountability.
• • The role provides a platform to continuously learn and grow, both professionally and personally, within a dynamic and innovative company.
• • You will contribute to a culture of data-driven decision-making, helping to embed analytics into the fabric of the organization.
• • Your efforts will directly support Coinbase's mission to build the future of finance and increase economic freedom globally.
• • You will be at the forefront of innovation in the crypto and blockchain industry, working on challenging and impactful projects.
• • The role demands a proactive approach to problem-solving and a commitment to delivering high-quality, reliable data solutions.
• • You will be a key player in ensuring that Coinbase has the data infrastructure and insights necessary to navigate the rapidly evolving financial landscape.
• • Your contributions will be vital in enabling Coinbase to achieve its ambitious mission and shape the future of the global financial system.