Nearshore Industrial Intelligence Analyst for Utility-Scale & Grid & AI Operations teams
Monitoring, predictive maintenance and asset performance insight for plants and portfolios.
A nearshore industrial intelligence analyst is a trained, English-fluent professional based in Latin America who works U.S. hours inside your tools. Kurios City recruits, trains and deploys them in about 21 days, at 30–60% lower cost than a U.S.-based hire — the range published for LatAm back-office operations, with free replacement if the person doesn't perform.
What this role owns
- Performance monitoring
- Underperformance root cause
- Maintenance prioritization
- Portfolio reporting
- Alert tuning
Stack we train on
Cost comparison
- Salary$93,600
- Mandatory benefits & payroll taxes$27,466
- Social Security + Medicare, FUTA/SUTA, workers' comp, health insurance, 401(k), PTO
- Tools, management & recruiting$34,934
- AI licenceYou pay it
- If they don't work outYou start over
- One monthly fee$4,150
- Mandatory benefits & payroll taxes$0
- Handled in-country. None of it lands on your payroll.
- Recruiting, training, managementIncluded
- Claude or Codex licenceIncluded
- If they don't work outFree replacement
Example figures for a Industrial Intelligence Analyst. The U.S. side is fully loaded — what the role actually costs your company, not the salary line. Your real numbers come out of the first call.
| U.S. hire | Kurios nearshore | |
|---|---|---|
| Monthly cost | USD 11,000–15,000 | USD 3,500–4,800 |
| Time to fill | 45–90 days | 21 days |
| Training on your stack | Your team's time | Included |
| Replacement | New search | Free |
| Time-zone overlap | Full | Full (UTC−5 / −6) |
Ranges are indicative. Final figures are scoped per market, role and seniority.
What the first 90 days look like
Week 1–4
Learns your asset fleet and your monitoring stack. Establishes what normal looks like per site before flagging anything as an anomaly.
Month 2–3
Owns the performance reporting: production against model, availability, and the underperformance investigation queue.
Month 4+
Owns the loop from anomaly to work order. The number is recovered production, in megawatt-hours, attributable to something they caught.
How to tell a good industrial intelligence analyst from a cheap one
This role needs domain knowledge that does not transfer from general analytics. Someone has to know that a string underperforming by 4% in the afternoon is shading and not a failing optimiser. Test for it directly: show a candidate a real performance curve from one of your sites and ask what they see. Generalist analysts are cheaper and will produce confident, wrong conclusions about your fleet.
How this role is measured
Recovered production, in megawatt-hours. Reporting that ends in a PDF changes nothing. The version that matters ends in a work order with an estimated production recovery attached.
| What we track | Why it is the right number |
|---|---|
| Production against model | By site, by month |
| Underperformance investigations closed | With a root cause, not a shrug |
| Recovered MWh attributable to a catch | The number that pays for the role |
| False positives | High false positives train the O&M team to ignore the analyst |
These are the numbers we report back to you, not internal vanity metrics. If one of them stops moving, that is the conversation to have in the weekly check-in.
Available now
No profile available right now — request the role and Kurios sources it in 7–10 days.
Frequently asked
How do you avoid drowning the O&M team in alerts?
By ranking every anomaly against estimated production recovery before it becomes a work order. An alert that cannot be priced is noise, and a team that learns to ignore alerts is worse off than one that never had them.
Which monitoring platforms do they work with?
The common ones in the field — SCADA exports, inverter-level platforms and third-party performance monitoring. The platform matters less than whether they can read a performance ratio and know which deviations are worth a truck roll.
Can they support O&M scheduling as well as reporting?
Yes, and that is where the value is. Reporting that ends in a PDF changes nothing. The useful version ends in a prioritised work order with an estimated production recovery attached.