Barista preparing and serving beverages and food at a specialty coffee shop. Delivering exceptional customer service and maintaining high standards of product knowledge.
About the role
- Data Operations Analyst ensuring accuracy of AI-powered workflows in financial operations. Collaborating with product managers and engineers to improve data processes and operational efficiency.
Responsibilities
- Review and validate financial data to ensure accuracy and integrity for core AI-powered workflows.
- Diagnose complex parsing failures and uncover root causes to improve model performance.
- Help design feedback loops between Data Ops and Engineering that drive faster product iteration.
- Partner with Product and Engineering to refine our internal Retool-based review systems.
- Test new features, prototype automation, and document improvements that reduce review time.
- Act as a first-line QA for new product launches and parsers (e.g., broker, insurance, or lending data).
- Identify recurring manual steps and propose or build small automations to eliminate them.
- Support in designing metrics dashboards that measure SLAs, accuracy, and operational throughput.
- Support customer success by ensuring reviewed data meets accuracy and turnaround SLAs.
- Collaborate with GTM and Product teams to surface insights from operational data that improve user experience.
Requirements
- Analytical & Curious: You’re good at breaking down ambiguous problems and spotting patterns in data.
- Tech-Savvy: Comfortable with digital tools, automation, or low-code platforms (Retool experience a plus).
- Fast Learner: You pick up new systems quickly and enjoy figuring things out without needing detailed instructions.
- Detail-Oriented but Strategic: You care about accuracy but also about how to fix systems that break.
- Bias to Action: You don’t just point out problems — you propose and test solutions.
- Educational background: Finance, Economics, Engineering, Data Analytics, or similar (but we value mindset over degree).
Benefits
- You’ll work on real problems, not hypothetical cases — helping make AI systems more reliable.
- You’ll collaborate with a small, fast-moving team that values autonomy and learning.
- You’ll see your ideas and improvements shipped into production, impacting real customers.
- You’ll get exposure to multiple disciplines — fintech, AI, data engineering, and product design.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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