Data Analytics Content Creator & Viral Notebook Evangelist

Deepnote

Tulsa (OK)

On-site

USD 70,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Equity options
Team retreats
Learning budget
Travel budget
PTO and sick days
Parental leave
Swag
Flexible hours
Kick-start bonus
Health budget

Job summary

Deepnote is hiring a content-focused writer to teach, experiment, and create data-focused content that resonates with our community. You will transform datasets, workflows, and features into educational and engaging material.

You’ll build an audience by publishing notebooks, guides, and templates, while exploring SEO and social strategies to amplify reach. This role suits self‑driven creators who love data and open‑source culture.

Qualifications

  • You love writing and explaining technical topics with a portfolio of notebooks/blogs.
  • Fluent in English (C1+).
  • Know SQL and Python and enjoy exploring analytics workflows.
  • Have experience with LLMs/AI tools and building data copilots.
  • Understand basics of LLMs: tokenization, context windows, trade-offs.
  • Can work independently, prioritize, and QA your own work.

Responsibilities

  • Create viral notebooks that showcase data in Deepnote.
  • Produce niche-focused content like articles or tutorials.
  • Develop guides that take readers from starting to confident usage.
  • Create use cases and templates demonstrating Deepnote’s value.
  • Run distribution experiments including SEO and social snippets.

Skills

Technical writing
Portfolio
English fluency
SQL
Python
LLMs/AI tools
Self-management

Tools

GitHub
SEO basics

Job description

Deepnote is hiring a content-focused writer to teach, experiment, and create data-focused content that resonates with our community. You will transform datasets, workflows, and features into educational and engaging material.

You’ll build an audience by publishing notebooks, guides, and templates, while exploring SEO and social strategies to amplify reach. This role suits self‑driven creators who love data and open‑source culture.

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