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Part-Time Data Operations Analyst

Roles & Responsibilities

  • 1–3 years in data operations or similar production workflows
  • Experience with command-line interfaces (you'll run already created Python scripts, not do anything programming-related)
  • Familiarity with satellite imagery concepts
  • Experience doing QC with careful attention to detail

Requirements:

  • Run and monitor the daily pipeline that ingests state OG well-permit data
  • Fetch satellite imagery for permitted locations
  • Perform visual QC and categorize activity on well pads (e.g., drilling, fracking, inactive) and adjust bounding boxes as needed
  • Troubleshoot errors and escalate issues; communicate status and blockers across teams

Job description

Remote (U.S. time zones preferred)
Type: Part-time (approx. 10-15 hours/week. This has the potential to increase in the future.)

About the role:

We’re looking for a hands-on operator to run a daily workflow that turns state oil & gas well-permit data into actionable satellite-image insights for our customers. You’ll help manage processes that ingest state data, fetch imagery for those locations, perform QC to categorize pad activity, correct bounding-box issues, publish updates to customers, and troubleshoot any issues that may come up along the way.

What you’ll do:

- Run and monitor the daily pipeline that ingests state O&G well-permit data.
- Fetch satellite imagery for permitted locations.
- Perform visual QC and categorize activity on well pads (e.g., drilling, fracking, inactive).
- Fix/adjust bounding boxes that are misaligned or overlapping.
- Troubleshoot errors and escalate issues where necessary.
- Communicate status and blockers across teams; hand-off cleanly across days.

Minimum/desired qualifications:
  • 1–3 years in data operations or similar production workflows.
  • Experience command-line interfaces (you'll run already created Python scripts, not do anything actually programming-related)
  • Familiarity with satellite imagery concepts.
  • Experience doing QC with careful attention to detail.
  • Experience reading logs to diagnose and troubleshoot failures.
  • Strong written communication and organized handoffs; reliable daily availability.
  • Able to follow documentation; proactive about edge cases and ambiguity.
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