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Tesoro AI is recruiting a Forward Deployed Analyst for a healthcare technology company building operational infrastructure for patient scheduling, calls, insurance eligibility, and systems integrations. You will work close to real operational workflows, identify where things are not behaving as expected, trace problems across data and systems, determine what is actually causing them, and help drive the issue through resolution.
The analysis is not the deliverable. The resolution is.
Tesoro AI is recruiting a Forward Deployed Analyst for a healthcare technology company building operational infrastructure that supports patient scheduling, calls, insurance eligibility, and integrations with healthcare systems.
This role is for someone who does not like leaving unexplained results unexplained.
You will work close to real operational workflows, identify where things are not behaving as expected, trace problems across data and systems, determine what is actually causing them, and help drive the issue through resolution.
The analysis is not the deliverable. The resolution is.
What you'll work on
You may investigate questions such as:
You will:
What we're looking for
You are likely to be a strong fit if you have:
You do not need to come from a traditional Data Analyst background. Relevant experience may come from data, systems, integrations, implementation, technical operations, production support, or engineering roles.
Nice to have
Experience with any of the following is helpful but not required:
The kind of person who will enjoy this role
You are probably a good match if an unexplained result bothers you enough that you want to keep digging.
You enjoy understanding how systems connect, testing hypotheses against real data, working across technical and operational teams, and staying with a problem until you know whether it has actually been fixed.
This is not primarily a dashboard-reporting role, and it is not a role where analysis ends with handing someone a report.
Location
This position is based in Medellín, Colombia and follows a hybrid work model.
Some in-person work is important because understanding the real operating environment and directly observing user workflows can be part of diagnosing and validating issues.