Business Operations Analyst - Trust and Safety

San Jose, California, US Until 9/28/2026 5+ years exp H-1B sponsor history First posted July 30, 2026 Last posted July 30, 2026
Job description

Description

The Reports & Insights Team empowers data-driven decision-making within our organization. We are committed to delivering meaningful insights that drive continuous improvement and optimize performance across all operational areas. The Reports & Insights team owns and manages operational metrics and develops robust reporting systems and analytical insights to ensure accuracy, actionability, and timeliness of information. Our focus is on fostering collaboration, innovation, and efficiency for Trust & Safety (T&S) global functioning.

Responsibilities:
- Partner with cross-functional stakeholders to gather, prioritize, and translate business requirements into scalable analytics and automation solutions.
- Develop and maintain scalable data workflows (e.g. Scheduled SQL queries, Python scripts or RPA bots).
- Collaborate with operations, engineering, and platform teams to improve systems integration and data flow between platforms (e.g. workflow tools and databases).
- Build, design, and monitor reporting tools that surface key metrics and operational insights. These may include data related to efficiency and quality performance in moderation teams.
- Develop and maintain technical documentation, data definitions, and user documentation to support scalable analytics solutions.
- Evaluate emerging analytics, automation, and AI technologies to improve operational efficiency, scalability, and data accessibility.
- Ensure data quality, validation, and governance standards across automated reporting and AI-assisted workflows to support accurate, reliable decision-making.

Requirements

Minimum Qualification(s):
- 5+ years of hands-on experience in data automation, analytics, or a related analyst role.
- Strong stakeholder management and communication skills, with the ability to translate business needs into scalable data solutions and technical concepts into actionable business insights.
- Proficient in Excel automation, data pipeline development, and scripting for automation tasks. Including proficiency in Python and SQL for data analysis, automation, and scalable data workflows.
- Experience applying data quality, validation, and governance best practices to ensure accurate, reliable, and trustworthy analytics.
- Understanding of relational databases and/or data warehousing for concepts (e.g. BigQuery, Snowflake).
- Proven analytical problem-solving skills with a keen eye for detail and process optimization.
- Familiarity with data visualization tools, e.g., Tableau, Power BI, etc.

Preferred Qualification(s):
- A Bachelor's degree or higher in Management Information Systems, Computer Science, Business Analytics, Statistics or related subjects is preferred.
- Comfortable with ambiguity; able to thrive with minimal oversight and process, while keeping leadership informed on progress against deadlines.
- Experience working in Trust and Safety scaled operations, with an understanding of content moderation workflows or workflow management systems.
- Strong organizational skills and the ability to manage multiple projects simultaneously in a fast-paced environment.
- Experience identifying opportunities to leverage AI-assisted tools and automation to improve reporting, operational workflows, and productivity.

About this role

Summary

Develop and maintain data workflows, reporting tools, and insights for trust & safety operations.

Job title

Business Operations Analyst - Trust and Safety

Experience level

5+ years

Minimum experience

5+ years exp

Industry

software

Location requirements

San Jose, California, USA; remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

SQLPythonExcel automationdata qualityrelational databases

Preferred skills

business analyticsworkflow managementAI automationtrust and safety

Specializations

data automationanalyticsSQLPythonreporting
Locations

Structured locations inferred from the posting.

San Jose, CA, USA

Work arrangement unknown City