<h1>Why Harvey</h1>At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.<h1>Role Overview</h1>We’re seeking a Data Operations Analyst to help strengthen how our business systems data is defined, monitored, and used. This role will support (and eventually own) a lightweight data governance program by defining and documenting key business terms, maintaining a simple data catalog, and ensuring core metrics are well understood and implemented across the organization. This role will also build and maintain operational and data quality reporting on our business systems to ensure our tools and processes are working as expected and producing reliable data.The ideal candidate has a strong data/SQL foundation and cares deeply about data quality, clarity, and consistency. They also thrive in a cross-functional role, working closely with systems teams, business stakeholders, integration engineers, and data analysts/engineers to drive understanding and alignment.<h1></h1><h1>What You'll Do</h1><ul><li>Data Governance Enablement<ul><li>Work with a cross-functional team to define and document canonical business terms, metrics, and entities</li><li>Maintain a lightweight data catalog and ensure definitions stay up to date as systems evolve</li><li>Support alignment across teams on how key data is interpreted and used</li><li>Help operationalize governance practices so they’re easy to follow and actually adopted</li></ul></li><li>Cross-Functional Collaboration<ul><li>Work closely with BizTech, Analytics, and business stakeholders to understand data needs</li><li>Answer questions about system data and metric definitions</li><li>Contribute to improving documentation and shared understanding of our data ecosystem</li></ul></li><li>Data Operations &amp; Reporting<ul><li>Write SQL to build and maintain operational datasets and reports for core business systems and data flows (e.g., Salesforce, Marketo, lead management, order management)</li><li>Identify data anomalies, inconsistencies, or breaks in expected behavior and help diagnose root causes</li><li>Partner with business system owners to improve data reliability and observability</li><li>Monitor data quality and system health through automated checks and recurring reporting</li></ul></li></ul><h1></h1><h1>What You Have</h1><ul><li>5+ years of experience in a data, analytics, business analysis, or similar role</li><li>Strong SQL skills and comfort working with relational data</li><li>Experience building reports or datasets from business systems (e.g., CRM, marketing, finance tools)</li><li>Curiosity about how data flows through systems and identifying issues</li><li>Clear written communication skills for documenting definitions and processes</li><li>Strong communication and stakeholder management skills, especially with non-technical teams</li><li>Ability to thrive in a fast-paced, high-growth, and global environment</li></ul>Bonus Points:<ul><li>Exposure to data quality, data governance, or data cataloging concepts</li><li>Familiarity with BI tools or analytics engineering workflows (e.g., dbt, Looker, Omni)</li><li>Experience working in or alongside a BizTech, Ops, or Analytics team.</li></ul><h1></h1><h1>Compensation</h1>$123,700 - $167,300 (USD)<h3>Please find our applicant privacy notice <a href="https://www.harvey.ai/legal/california-applicant-privacy-notice">here</a>.</h3>#LI-RB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing <a href="mailto:accommodations@harvey.ai">accommodations@harvey.ai</a>