Automation & AI-Powered Business Ops Analyst

Talently

San Francisco (CA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Talently in San Francisco seeks a mid-senior Business Operations Analyst to optimize day‑to‑day operations, design automations, and build data pipelines using SQL. This role spans technology and finance domains, with collaboration across leadership to scale internal systems and drive performance.

The ideal candidate will leverage AI tools and low‑code platforms to streamline processes, generate actionable insights, and partner with cross‑functional teams to remove bottlenecks in insurance,

Qualifications

  • Proven experience as a Business Analyst in the technology sector.
  • Strong SQL for data analysis and reporting.
  • Hands-on experience with automation tools and technology platforms.
  • Ability to design, build, and optimize business reports and workflows.
  • Experience with insurance, payroll, or private equity processes.

Responsibilities

  • Oversee day‑to‑day business operations and identify opportunities for optimization
  • Build automations and workflows using n8n and other no/low‑code tools
  • Create and maintain reports and data pipelines using SQL
  • Implement AI tools (e.g., ChatGPT, Claude) to enhance processes and internal systems
  • Collaborate with leadership to identify operational bottlenecks and design solutions
  • Serve as a key liaison between operations, engineering, and strategy teams

Skills

Business Ops Automation
SQL
Report Building
AI Chat
Automate
Technology Industry
start-up

Tools

n8n

Job description

Talently in San Francisco seeks a mid-senior Business Operations Analyst to optimize day‑to‑day operations, design automations, and build data pipelines using SQL. This role spans technology and finance domains, with collaboration across leadership to scale internal systems and drive performance.

The ideal candidate will leverage AI tools and low‑code platforms to streamline processes, generate actionable insights, and partner with cross‑functional teams to remove bottlenecks in insurance,

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