Data Analyst
Role Overview
Outset provides AI-powered user interviews for qualitative research; global brands use its platform to understand users at speed and scale.
The company describes a rapidly growing business serving large enterprises with a tight-knit team.
Key Skills for This Role
Full Job Posting
About Outset
Outset provides AI-powered user interviews for qualitative research; global brands use its platform to understand users at speed and scale.
The company describes a rapidly growing business serving large enterprises with a tight-knit team.
Role overview
The analyst combines business analysis with automation, using AI tools as a core part of the workflow.
The role builds tools and workflows that help internal teams move, manage, and understand data.
Responsibilities
- Answer recurring questions across go-to-market, People, Product, and Engineering using SQL, Python, and AI tools.
- Build lightweight internal apps, Slack bots, scripts, dashboards, and AI skills to replace manual reporting and repeated requests.
- Clarify stakeholder needs before building solutions.
- Maintain and improve trustworthy data pipelines.
- Evaluate AI tools and workflows for internal adoption.
- Document work so others can use it independently.
- Flag data-quality issues and inconsistent definitions.
Qualifications
- At least three years in a data analyst, analytics engineer, or BI role, with SQL and Python fluency.
- Hands-on use of AI tools to build a script, agent, or automation.
- Able to scope vague stakeholder requests and communicate findings or tools clearly to nontechnical colleagues.
- Startup experience building data stacks and tooling is required.
- Exposure to AI agents or workflows is preferred.
- Familiarity with dbt, Looker, Hex, or similar BI and data tools is preferred.
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