Employment Type: Contract (3-12 months) or PermanentRole OverviewPEER DATA is looking for a Contract Data Analyst to manage and maintain high standard of accuracy for reporting and compliance. The ideal candidate will have a strong background in corporate law, data management, quality control and process optimization while supporting business goals through innovative solutions and teamwork. The role is ideal for candidates with a law/paralegal background and comfort with structured data and operational processes.Key Responsibilities
- Manually review and interpret commercial contracts, SOWs, and related legal documents.
- Extract clause-level information into standardized templates.
- Validate accuracy of extracted data, resolve ambiguities, and escalate complex/legal issues to the legal or product team.
- Maintain an auditable record of all processed contracts and track amendments/versions.
- Support amendment, renewal and compliance tracking workflows by flagging trigger events and changes.
- Generate periodic progress reports, quality metrics, and exception logs for stakeholders.
- Assist in building/process-improving extraction checklists and contribute to training new hires.
- Work closely with Legal, Product and Operations teams to ensure data mapping and taxonomy consistency.
- Bachelor’s degree in Law (LLB), Paralegal qualification, or related degree (Business, Commerce, or similar)
- 1–4 years experience in contract review, legal operations, paralegal work or contract administration.
- Excellent comprehension of legal language and contract concepts (terms, obligations, renewals, indemnities).
- High proficiency in Microsoft Excel and Word; familiarity with templates and structured data entry.
- Strong attention to detail, written communication skills, and evidence of consistent accuracy in prior work.
- Ability to work independently, manage time, and prioritize a high-volume workload while maintaining accuracy.
- Prior experience with contract lifecycle management (CLM) tools or document review platforms.
- Knowledge of metadata taxonomies for contracts and experience mapping clauses to standardized schemas.
- Experience working in legal ops or with cross-functional teams in a tech startup environment.
- Basic familiarity with data tools (Excel power functions, Google Sheets, Airtable) or simple scripting is a plus.
- High level of integrity and confidentiality when dealing with sensitive contract data.
- Collaborative mindset: able to work with legal, product and operations teams.
- Process-oriented: enjoys creating repeatable, auditable workflows.
- Curious and coachable: eager to learn and evolve into a process-improvement role.
To learn more about our company, please visit our website at https://www.peerdata.tech/
Similar Jobs
.jpeg)
What We Do
PEER DATA was born out of the observation that in today’s world every company is a data company. Our mission is to power that journey. PEER DATA empowers organizations to extract value from their data; to better manage, grow revenue and raise capital with it. We transform data into assets. We aim to unlock maximum value and amplify reach by: • Providing expertise, standards, and technology to build infrastructure and rails data asset class. • Enabling digital discovery and monetization of data. • Connecting data owners, investors, and consumers to trade data as an asset. DBOR – Data Book of Record Data is an asset, and similar to asset management requiring an Investment Book of Record (IBOR) to provide a real-time view of the firm’s investment positions, the data industry needs a tool to connect the systems which are part of the data management lifecycle. PEER DATA built the DBOR platform for data owners, consumers and providers. It brings together PEER DATA Ledger and PEER DATA Square, which are systems of fact vs. systems of record, to provide: • Holistic view and analyses of data assets, liabilities, revenues and expenses • End-to-End traceability of data flows within your application and workflow environment • Accurate & comprehensive view of data assets, based on fact vs record • Decision-supporting data usage and product development
