Data Operations Analyst
HarveyRemotePosted 20 February 2026
Job Description
Why HarveyAt 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.Role OverviewWe’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.What You'll DoData Governance EnablementWork with a cross-functional team to define and document canonical business terms, metrics, and entitiesMaintain a lightweight data catalog and ensure definitions stay up to date as systems evolveSupport alignment across teams on how key data is interpreted and usedHelp operationalize governance practices so they’re easy to follow and actually adoptedCross-Functional CollaborationWork closely with BizTech, Analytics, and business stakeholders to understand data needsAnswer questions about system data and metric definitionsContribute to improving documentation and shared understanding of our data ecosystemData Operations & ReportingWrite SQL to build and maintain operational datasets and reports for core business systems and data flows (e.g., Salesforce, Marketo, lead management, order management)Identify data anomalies, inconsistencies, or breaks in expected behavior and help diagnose root causesPartner with business system owners to improve data reliability and observabilityMonitor data quality and system health through automated checks and recurring reportingWhat You Have5+ years of experience in a data, analytics, business analysis, or similar roleStrong SQL skills and comfort working with relational dataExperience building reports or datasets from business systems (e.g., CRM, marketing, finance tools)Curiosity about how data flows through systems and identifying issuesClear written communication skills for documenting definitions and processesStrong communication and stakeholder management skills, especially with non-technical teamsAbility to thrive in a fast-paced, high-growth, and global environmentBonus Points:Exposure to data quality, data governance, or data cataloging conceptsFamiliarity with BI tools or analytics engineering workflows (e.g., dbt, Looker, Omni)Experience working in or al ... (truncated, view full listing at source)
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