Data Analyst

Aetos Imaging
· Delivery Organization
· Remote (US-Based Required)
· Base Salary: $70-90K

We are seeking a detail-obsessed Data Analyst to be the engine of data execution across our client sites. This is an internally facing role at the heart of our implementation process: you will take messy client data (spreadsheets, maintenance system exports, procedures, and raw video) and turn it into a clean, navigable digital twin of a facility. Reporting to our Senior Data Manager, you will own day-to-day data work from week one, with a clear 90-day ramp.

The ideal candidate is methodical, thrives on high-volume structured work done right, and follows instructions exactly. This role must be based in the US, as some client datasets can only be accessed from inside the country.

• Clean, standardize, and import client asset lists from Excel files and maintenance system (CMMS) exports into the Aetos platform.
• Import and maintain client work order history, including closeouts, corrections, and downtime and labor data.
• Follow documented import workflows precisely, and flag where they can be improved.
• Build procedures and training courses from client SOPs, videos, and equipment captures, structuring steps, formatting content, and preparing supporting media.
• Place and verify virtual asset tags in 3D facility scans, working from prepared tagging packs.

• Run first-pass QA on imported data, tags, and training content before anything reaches a client.
• Document what you changed and why, so the team can trust every handoff.

• Refresh recurring reports and dashboards, and pull platform usage metrics.
• Turn around small data requests quickly, such as user lists, access resets, and record corrections.

• Advanced Excel / Google Sheets skills: comfortable cleaning and reshaping exports with thousands of rows.
• Attention to detail: real tolerance for high-volume, structured work done right the first time.
• Clear written communication: you can follow an instruction pack exactly and document what you did.
• Self-directed in an async environment: comfortable working from task packs, recorded walkthroughs, and a project management tool such as Click Up, and quick to ask questions when something is unclear.
• US-based: several client datasets can only be accessed from inside the US.
• SQL or experience with a BI tool.
• CMMS or maintenance-data experience.
• Python or scripting for repeatable data prep.
• Industrial or manufacturing exposure, such as P&IDs, electrical panels, or maintenance workflows.
• Spanish.

• Competitive Compensation & Benefits: Base salary of [range to be confirmed], comprehensive health, dental, and vision insurance, 401(k), generous PTO, and parental leave.
• Impact & Growth: You will be the first hire under our Senior Data Manager, with a clear 90-day ramp and real ownership from week one, in a delivery organization that is scaling fast.
• Culture of Autonomy: A collaborative, remote-friendly atmosphere built on trust and ownership, with no micromanagement here.