Senior Data Analyst

Supplier.io

1d • $130,000 - $130,000

About The Position

The Senior Data Analyst owns analytical data quality for Supplier data within the new Data Enablement function. The role evaluates whether data-engine output is correct, complete, and trustworthy, and leads analytical work to link the company’s registry backbone with supplementary data sources.

Data Enablement works alongside Data Engineering. The Senior Data Analyst partners with the Director of Data Engineering and data and ETL engineers on technical execution, and with Product and other cross-functional teams to share insights and identify opportunities in the data. The position reports directly to the CTO while the Data Enablement leadership structure is being built out.

The role also brings a customer-focused perspective to quality prioritization and product improvements, including TrustIQ, based on direct experience with how customers use the data.

Requirements

• Strong SQL and BigQuery (or equivalent) data-analysis skills.
• Hands-on data-quality and profiling experience across multiple external data sources.
• Comfort working across data warehouse and data lake environments, including Snowflake.
• Hands-on experience with analysis and dashboarding tools built on these environments, such as Looker, Tableau, or Mode.
• 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 Haves

• Familiarity with dbt or similar transformation tools.
• Direct experience with legal-entity or supplier data sources such as OpenCorporates, S&P Capital IQ, GLEIF, SAM, or similar registries.
• Working knowledge of master data management and entity/source-linking challenges, including tax IDs, DUNS, and name and address matching.
• Experience building or defining automated data-quality gates or monitoring.

Responsibilities

• Own analytical data-quality work for Supplier data, including profiling, sampling, quantifying issues, and recommending actions to engineering.
• Drive source linking between the registry backbone and supplementary sources, and help define a systematic approach to resolving conflicts between sources.
• Define and monitor data-quality dimensions, including completeness, freshness, and accuracy.
• Help build automated data-quality gates.
• Prioritize quality efforts for the entities customers interact with most.
• Partner with the Director of Data Engineering and 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 identify opportunities beyond data quality.
• Build and maintain dashboards and reports that provide visibility into platform data health.
• Bring a customer-focused perspective to quality prioritization and product improvements such as TrustIQ.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed