Jake Peterson
Analytics Engineering Advocate
St. Joseph, Minnesota, United States
Summary
🤩
Rockstar🎓
Top SchoolJake Peterson is an Analytics Engineering Advocate with 11 years of experience helping companies adopt modern data stacks and turn analytics into actionable product and business insights. Currently at Lightdash, he focuses on improving self-serve BI and has contributed to open-source documentation that clarifies integrations like dbt Semantic Layer and Slack for broader adoption. Previously he led analytics and customer success teams at PopSQL, Routable, and Segment, building and operating stacks with Snowflake, dbt, Airbyte, Fivetran, Looker, and Amplitude. He founded an analytics consultancy that was acquired, bringing both hands-on technical execution and go-to-market leadership to early-stage and scale-stage teams. Based in St. Joseph, Minnesota, he pairs a BA in Math and Chinese with immersion study at Peking University, an unusual mix that supports clear cross-cultural technical communication.
11 years of coding experience
Immersion Chinese Language, Immersion Chinese Language at Peking UniversityBA Math Major Chinese Minor, BA Math Major Chinese Minor at Saint John's University
English, Spanish, Chinese
Github Skills (8)
docusaurus10
documentation10
business-intelligence8
data-analytics6
dbt6
data-visualisation5
data-visualization5
data-visualizations5
Programming languages (8)
Github contributions (5)
lightdash/lightdash
Jun 2022 - Apr 2025
Self-serve BI to 10x your data team ⚡️
Role in this project:
Technical Writer / Documentation Specialist
Technical Writer / Documentation SpecialistContributions:18 reviews, 28 PRs, 63 pushes in 2 years 9 months
Contributions summary:Jake primarily contributed to the repository by modifying and adding documentation. Their commits focused on updating and reorganizing the documentation for the Lightdash platform, including references, guides, and integrations. They added new guides, such as those for integrating with Slack and filtering dashboards, and updated existing content to improve clarity and accuracy. The user's work centered on the documentation of features and integrations, specifically the dbt Semantic Layer and Slack integration, to enhance the user experience.
data-analyticsdbt-packagesdbtbusiness-intelligencedata-visualization
EffinAmazing/segment_attribution
May 2020 - Oct 2020
Looker block for building multi-touch attribution reporting on top of Segment warehouse data
Contributions:1 review, 1 PR, 22 pushes in 4 months
warehouselookerreportingtouchattribution
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