Data Operations Specialist

Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Position Summary The Data Operations Specialist will work as part of the supplier.io Atlas Delivery Team responsible for preparing, processing, auditing, and verifying data delivered to supplier.io's internal and external customers. This role primarily follows structured workflows and detailed instructions to review, analyze, and validate business-related data across multiple data projects. The Data Operations Specialist evaluates match accuracy, conducts external research to validate company identities and firmographic attributes, and applies sound judgement to ensure data quality standards are maintained. The role requires strong analytical thinking, proficiency in Excel and basic SQL, and the ability to investigate and resolve data-related issues. Key Responsibilities Data Matching and Validation Review, analyze and verify match results across company profiles Confirm that company attributes such as legal name, address, and corporate identifiers accurately align with the matched entity Apply sound reasoning and judgement to determine match validity and escalate ambiguous or complex cases when necessary Maintain consistent data quality standards across enrichment projects Company Research and Data Verification Conduct research using search engines, AI tools, company registries, and public data sources to verify company identities and firmographic attributes Validate company hierarchy relationships including parent companies, subsidiaries, and ultimate ownership structures Confirm company profile information such as industry classification, location, and firmographic characteristics Document analyst decision logic to support development of automated matching algorithms and LLM-based data enrichment tools. Data Analysis and Excel Management Work with datasets in Excel to perform data review, filtering, summarization, and analysis Manipulate and structure data to support enrichment workflows and quality validation Analyze company profile and firmographic datasets to identify inconsistencies, suspicious data or anomalies Data Querying and Investigation Use basic SQL queries to retrieve and validate data from internal systems, including Snowflake and MySQL databases Investigate data discrepancies between input files, enrichment outputs, and internal databases Issue Resolution and Troubleshooting Identify data-related issues that may impact match accuracy or enrichment results Troubleshoot root causes and recommend potential solutions or workarounds based on data knowledge and analysis Collaborate with internal teams when technical or systemic issues are identified Documentation and Communication Document research findings, data and match validation decision logic to support development of automated matching algorithms and LLM-based data enrichment tools Provide transparency through clear updates on project status, findings, and issues to management Communicate effectively with internal teams to clarify req