[Hiring] Senior Data Analyst @Supplier.io

Role Description

The Senior Data Analyst owns data quality for our Supplier data as part of our new Data Enablement function. You'll evaluate whether the output of our data engine is correct, complete, and trustworthy, and own the analytical work of linking our registry backbone to supplementary data sources.

Data Enablement sits alongside Data Engineering: you'll partner closely with its Director and the data and ETL engineers on technical execution, while also working with Product and other cross-functional teams to share insights and surface new opportunities in the data.

What You Will Do

• Data Quality Ownership
  • 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.
• Cross-Functional Insight & Opportunity-Finding
  • 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.

Qualifications

• 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.
• Familiarity with dbt or similar transformation tools is an asset, not a requirement.
• 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.

Nice to Have

• 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.

Where You Fit In

You'll sit within Data Enablement, working closely with the Director of Data Engineering, Data Architect and the data and ETL engineers on technical execution, and with Product and other cross-functional teams on sharing insights and finding new opportunities in the data. For now, you'll report directly to the CTO while Data Enablement's leadership structure is built out.

AI Use Policy

The use of artificial intelligence tools during your interview is strictly prohibited. This includes, but is not limited to, AI chatbots, real-time answer generators, transcription-based assistants, and any other software that generates or suggests responses. Any detected use of AI during the interview will result in immediate disqualification and removal from consideration for this position.

Equal Employment Opportunity

Supplier.io is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Supplier.io is unable to sponsor work visas (e.g., H-1B, TN, OPT, etc.) for US positions. Candidates must meet in-country work authorization requirements.

If you require reasonable accommodation to complete the application or interview process, please contact the Human Resources department at [email protected] or 978-843-5747.