Why This Job is Featured on The SaaS Jobs
This Data Analyst role sits at a SaaS company where vendor-supplied data is a core dependency, making analytics less about internal product telemetry and more about the reliability of external inputs. Within the broader SaaS ecosystem, that’s a meaningful niche: many platforms increasingly rely on third-party datasets and APIs, and performance is constrained by upstream quality, coverage, and latency. The remit described—vendor KPI monitoring, SLA alerting, and structured “bake-offs”—reflects a data governance function embedded directly in an operational domain.
From a SaaS career perspective, the work builds durable skills in measurement systems that influence product and operations simultaneously. Defining data-quality scoring, documenting lineage for auditability, and translating vendor schema changes into ingestion requirements are experiences that transfer to data platform, analytics engineering, and risk/compliance-adjacent roles across SaaS. The emphasis on SQL modeling and tooling such as dbt/Snowflake/Looker also aligns with modern cloud analytics stacks common in subscription software businesses.
This role is best suited to someone who enjoys applied analytics with real-world constraints, partnering closely with vendor managers and technical teams to turn ambiguous quality issues into clear metrics and decisions. It fits professionals who prefer accountability for ongoing systems—dashboards, alerts, standards—over one-off analyses, and who want their work to directly shape the dependability of a SaaS platform’s core data.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the team:
We are a specialized analytics unit embedded within the Supply Chain organization. Our team is responsible for the health, quality, and rigorous assessment of the external vendors that power our platform. Checkr is a data platform, and this team is the gatekeeper of that data.
Examples of what you’ll do:
- Design, build, and maintain comprehensive dashboards to monitor Key Performance Indicators (KPIs) for current data vendors
- Develop automated alerting systems to flag SLA breaches, allowing the Vendor Management team to address performance issues in real-time.
- Lead the quantitative assessment of potential new vendors by conducting "bake-offs" (side-by-side testing); compare coverage, accuracy, and freshness of new datasets against incumbent providers.
- Define and standardize the definition of "Data Quality" for criminal records, creating a scoring model that weighs factors like PII completeness (DOB, SSN availability) and disposition accuracy.
- Partner with Vendor Managers to provide data-backed leverage during contract negotiations and renewals
- Collaborate with Product and Engineering teams to translate changes in vendor data structures (e.g., a court changing how they classify misdemeanors vs. felonies) into technical requirements for their ingestion pipeline.
- Bridge the gap between business needs (e.g., "We need faster checks in Cook County") and technical reality by analyzing if alternative vendors or access methods (scraper vs. API vs. runner) offer a viable solution.
- Document data lineage and vendor-specific logic to ensure transparency and maintain a clear audit trail for compliance inquiries
- Analyze trends in downstream metrics to identify specific vendors or jurisdictions that are statistically prone to inaccuracies
- Generate educational resources for internal stakeholders
What you bring:
- 2 + Yrs of Strong analytical and technical skillsets to translate data to actionable insights
- Experience with data modeling via SQL transformation with best practices to ensure top performance and optimization
- Experience in managing databases, including relational database architecture, query optimization, and database schema design.
- Conceive, implement and maintain data models or views that simplify reporting, expand access to insights, and support ongoing analysis and reporting
- Experience with DBT, Snowflake, Looker, Airflow a plus
- Experience working with notebooks, excel a plus
- Experience working with APIs or unstructured data a plus
What you’ll get
- A fast-paced and collaborative environment
- Learning and development allowance
- Competitive cash and equity compensation, and opportunity for advancement
- 100% medical, dental, and vision coverage
- Up to $25K reimbursement for fertility, adoption, and parental planning services
- Flexible PTO policy
- Monthly wellness stipend
