Data Analyst

Outset • San Francisco, CA

3d

About The Position

Outset is hiring a Data Analyst to turn the company’s data into timely, trustworthy decisions using analysis and automation. The role combines business analysis with building lightweight internal tools, scripts, dashboards, and AI-enabled workflows that reduce recurring manual reporting and help teams across the company work with data.

The analyst will answer business questions across go-to-market, People, Product, and Engineering; collaborate with stakeholders to clarify what they need; maintain data pipelines and data quality; and assess which emerging AI tools and workflows are useful for internal adoption. The position calls for someone who can work independently from an ambiguous request to a scoped solution, document work for others, and use AI tools as an integral part of the workflow.

Requirements

• At least 3 years of experience in a data analyst, analytics engineer, or business intelligence role.
• Fluency in SQL and Python.
• Hands-on experience using AI tools such as Claude, ChatGPT, Copilot, or Cursor to build a script, agent, automation, or other practical solution.
• A tendency to automate recurring manual processes rather than repeatedly perform them by hand.
• Ability to turn vague stakeholder requests into specific, well-scoped answers without extensive guidance.
• Clear written communication, including the ability to explain findings or tools to nontechnical audiences concisely.
• Experience working at a startup where the data stack and tooling were still being built.
• Exposure to building or prompting AI agents or workflows, beyond using chat interfaces.

Nice To Haves

• Familiarity with modern BI and data tools such as dbt, Looker, or Hex.

Responsibilities

• Answer recurring business questions across GTM, People, Product, and Engineering using SQL, Python, and relevant AI tools.
• Build small internal tools, including applications, Slack bots, scripts, lightweight dashboards, and AI skills, to eliminate manual reports and repeated ad hoc requests.
• Partner with stakeholders to understand their needs before building solutions.
• Maintain and improve data pipelines so underlying data and numbers are trustworthy.
• Evaluate new AI tools and workflows and determine whether they are worth adopting internally.
• Document tools and workflows so others can use them independently.
• Identify data-quality issues and inconsistent definitions before they lead to poor decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed