Analytics Engineering Advocate - US (Eastern Time)

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

Not verified

Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Bootstrapped From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Analytics Engineering Advocate - US (Eastern Time) US - Remote | Remote ABOUT LIGHTDASH Lightdash is an open source BI tool that instantly turns your dbt project into a full-stack BI platform. We're building the best BI tool for analytics engineers by letting them manage everything as code, from the comfort of their text editor and command line. Once the data team has written the metrics, then Lightdash enables self-serve for the entire business, so your data is accessible for the whole team. We're helping data teams build data-driven companies so they can make better decisions, faster. HOW WE WORK AT LIGHTDASH - We build in public, by default. We're an open source product, so having shared context is important so that people can contribute to Lightdash. As a team, we also think that we make the best decisions when everyone has a lot of the same information. We don't oversell and under-deliver: we want the experience of using Lightdash to be as awesome as the experience we're selling. - We challenge problems, not people. We ask ourselves “why is this broken?” not “who is breaking this?” - We're highly collaborative. We're a group of people that are happy working independently, but love being part of a team. ****We not only work on problems as a team, but we also listen to the feedback from our community and our users. We invest in tools and processes that allow us to do this, even while fully remote. - We bias towards

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