Risk Analytics Operations Lead
| Company | ZestyAI |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- Bachelor’s degree
- 1-3 years of experience in data analytics/quality assurance
- Strong attention to detail and organizational skills
- Experience as a power user of Microsoft Excel and PowerPoint
- Proficient in BigQuery and Python
- Proven track-record of delivering high quality results in a timely manner
Responsibilities
- Oversee proof-of-concept (POC) data quality assurance processes, ensuring completeness and accuracy throughout the data lifecycle.
- Process and validate datasets through ZestyAI workflows, resolving any anomalies before handing off for analytics.
- Collaborate cross-functionally with engineering and product teams to troubleshoot and resolve data processing errors.
- Interface directly with clients to establish and facilitate secure data transfer, validation, and processing required for successful analytics.
- Maintain up-to-date tracking of project progress and deliverables using Monday.com, ensuring clear communication and accountability.
- Identify opportunities to improve workflows, streamline processes, and enhance data operations efficiency.
- Support the development of executive-facing content by preparing visualizations and summaries of Risk Analytics team accomplishments for Board of Directors presentations.
- Work with internal stakeholders to coordinate timelines, manage expectations, and deliver high-quality outputs under tight deadlines.
- Utilize tools such as Excel, Python, BigQuery, and PowerPoint to support data processing, analysis, automation and reporting.
Preferred Qualifications
- You have experience in the insurance industry (P&C preferred)
- You’ve used Business Intelligence or Data Viz tools such as PowerBI or Looker Studio
- You have used Geospatial software like ArcGIS
- You have automation experience to streamline processes