Senior Operations Business Analyst
Listed on 2026-02-28
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineer
Overview
About Checkr:
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s technology and data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including Door Dash, Coinbase, Lyft, Instacart, and Airtable. Checkr is recognized on the Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
About Truework:
Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks, and more. We’re disrupting a $5B+ industry dominated by legacy incumbents and outdated processes. Within Checkr, Truework operates independently, allowing rapid iteration while leveraging the strengths and assets of the core business.
This role sits on Checkr’s Operations Insights & Analytics team, directly supporting Truework’s operations team as its primary analytics partner. Truework’s operations are more complex than a typical help desk — and deeply understanding their processes will be central to your success in this role. Truework already has some operations reporting and data infrastructure in place, but as the first dedicated analyst focused on this work, you’ll own the process of improving and expanding it.
Some existing dashboards need to be rebuilt or consolidated, sources-of-truth established, and the team needs reliable performance & cost metrics. You’ll also contribute to the near-term migration from Looker to Omni Analytics.
The ideal candidate is someone who can context-switch between hands-on data work and strategic analysis, thrives in ambiguity, and is energized by making messy things clean. You should be someone who, when given a high-level goal, figures out what questions to ask, what data is needed, and what infrastructure would provide it — and then builds it.
What You’ll DoDrive Analysis & Business Performance- Build and maintain models for cost, headcount, and operational performance that inform leadership decisions across Truework operations
- Track and analyze team performance week-over-week, identifying trends, bottlenecks, and opportunities for efficiency gains
- Translate technical findings into clear recommendations for stakeholders at all levels, from operational teams to executive leadership
- Define and standardize key operational metrics, working with stakeholders to ensure shared understanding of definitions and methodology
- Consolidate and rebuild existing dashboards, validating data accuracy and filling gaps in coverage
- Build production dashboards and self-service reporting in Omni Analytics, giving Truework’s operations teams reliable visibility into team performance
- Improve and expand existing data models to support reliable analytics across Truework’s operations
- Write and maintain dbt models, manage data pipelines, and work with raw database schemas to strengthen analytical foundations
- Identify and fix data quality issues — bad joins, missing records, misaligned definitions — before they become reporting problems
- Contribute hands-on to migrating Truework’s data infrastructure onto Checkr’s systems, working independently to navigate unknowns and solve technical problems as they arise
- 5+ years of experience in analytics, data engineering, or a hybrid role — ideally in a high-growth or startup environment where you’ve had to build things from scratch
- Advanced SQL: complex joins, window functions, CTEs, query optimization. You should be able to navigate unfamiliar database schemas and figure out how data fits together.
- Hands-on experience with data modeling and pipeline tools (dbt, Airflow, or similar). You’ve built and maintained data models, not just queried them.
- Strong BI experience building production dashboards (Looker, Tableau, or similar). You know how to design reporting that’s actually useful, not just comprehensive.
- Comfort working in ambiguous environments with incomplete information. You don’t wait for perfectly defined requirements — you figure out…
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