Analytics Engineering Manager, Data Platform (Ciudad de México)

Analytics Engineering Manager, Data Platform (Ciudad de México)

08 oct
|
LawnStarter
|
Ciudad de México

08 oct

LawnStarter

Ciudad de México

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.
Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter.



Trust means the quality and freshness of our source data, pipelines, and reports; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.
You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
Source data to pipelines to dashboards and ML models, you own trust across the entire

📌 Analytics Engineering Manager, Data Platform (Ciudad de México)
🏢 LawnStarter
📍 Ciudad de México

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