About the role
We're looking for a Data Analyst to join our Ops Intelligence function and make sure RLS's operational data and reporting never depends on any single person.
You'll pull, clean, and structure operational data, maintain dashboards and reporting hygiene, and document how everything works as you learn it. The goal is a function built on systems and documentation rather than on any one person's memory, so RLS's visibility into its own operations holds up over time regardless of who's on the team.
This role is built around being a genuine Claude Master: someone who can direct AI tools to do the heavy lifting on data work, verify the output, and turn raw numbers into something leadership can actually use, without needing a deep technical or data-science background to start.

What you'll do
Pull and structure data from our operational systems (ATS, CRM, Monday.com, Bloom Growth) for recurring metrics: close rate, retention, escalations, and others as the function grows; using Claude to clean and QA the data before it reaches leadership




Maintain dashboards and in-system metrics, catching blanks, duplicates, and inconsistencies proactively, not after someone else notices
Document every recurring report and dashboard as you learn it: data source, calculation logic, refresh cadence, and known quirks; building a shared, living knowledge base so the reporting function doesn't depend on any one person's memory, including your own
Use Claude to build lightweight automations for repetitive reporting tasks (e.g., drafting the weekly metrics update, structuring a monthly retention breakdown), reducing manual work over time
Take on specific diagnostic requests, like breaking a funnel metric into stage-by-stage data or prepping clean numbers ahead of a stakeholder session: using Claude to do first-pass structuring and analysis
Support the Weekly Leadership Dashboard by ensuring the underlying data is pulled, cleaned, and refreshed ahead of each reporting cycle
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📌 AI-Powered Data Analyst (México)
🏢 Remote Legal Staff
📍 México