Senior Data Analyst

Supplier.io provides supplier identity data and related solutions for enterprise procurement, finance, and compliance teams. The Senior Data Analyst owns analytical data quality for supplier data, links registry data with supplementary sources, and partners across engineering and product to turn findings into fixes, insights, and opportunities.

Responsibilities:

• Own the analytical data-quality work for our Supplier data: profiling, sampling, issue quantification, and recommendations to engineering
• Drive source linking across our registry backbone and supplementary sources (such as S&P Capital IQ, GLEIF, and SAM), and help define a systematic approach to resolving conflicts between sources
• Define and monitor quality dimensions (completeness, freshness, accuracy), and help build the automated quality gates that don't exist today
• Prioritize quality effort toward the subset of entities customers actually interact with most
• Partner with the Director of Data Engineering and the data and ETL engineers to translate quality findings into technical fixes and prioritized work
• Work with Product and other cross-functional teams to share data insights and help identify new opportunities in the data, beyond quality alone
• Build and maintain dashboards and reports that give visibility into data health across the platform
• Bring a customer's-eye view to quality prioritization and to product improvements like TrustIQ, informed by direct experience with how customers actually use the data

Requirements:

• Strong SQL and BigQuery (or equivalent) data-analysis skills, with hands-on data-quality and profiling experience across multiple external data sources
• Comfortable working across both data warehouse and data lake environments (Snowflake), with hands-on experience using analysis and dashboarding tools built on top of them (such as Looker, Tableau, or Mode) to surface and communicate findings
• Customer-facing or implementation background that supports quality prioritization from a user's perspective
• Comfort partnering across engineering, product, and other cross-functional teams to share findings and influence priorities
• Candidates must meet in-country work authorization requirements
• Familiarity with dbt or similar transformation tools
• Direct experience with legal-entity or supplier data sources (OpenCorporates, S&P Capital IQ, GLEIF, SAM, or similar registries)
• Working knowledge of master data management and entity/source-linking challenges (tax IDs, DUNS, name and address matching)
• Experience building or defining automated data-quality gates or monitoring