Occupation · 2026 assessment

Hydropower Scientific Data Analyst

The Hydropower Scientific Data Analyst role combines repeatable operations with decisions that require professional context. The index measures task exposure to AI, software automation and robotics—not the probability that the occupation disappears.

Low risk level Search jobs ↗
How risk may change

A forecast estimate, not a guaranteed scenario.

34%2026
39%2028
45%2030
53%2035

Which tasks are exposed

Risk applies to individual tasks—not to a person or an entire occupation.

TaskRisk
Cleaning, joining and preparing data48%
Creating standard reports and visualizations41%
Forming conclusions and checking causality20%
Collecting telemetry and preparing shift reports45%
Forecasting load and consumption39%
Automated equipment-condition monitoring38%
Routine switching under normal conditions45%
Field repair and fault localization28%

Task map

AI replaces ↔ AI augments

Each task is positioned by AI capability and the degree of human involvement still required.

  1. 1Cleaning, joining and preparing dataAI 48% · human 60%
  2. 2Creating standard reports and visualizationsAI 41% · human 63%
  3. 3Forming conclusions and checking causalityAI 20% · human 78%
  4. 4Collecting telemetry and preparing shift reportsAI 45% · human 65%
  5. 5Forecasting load and consumptionAI 39% · human 75%
  6. 6Automated equipment-condition monitoringAI 38% · human 64%
  7. 7Routine switching under normal conditionsAI 45% · human 65%
  8. 8Field repair and fault localizationAI 28% · human 74%

Why technology can change this work

  • AI automatically drafts analyses, finds correlations and explains standard deviations
  • smart grids automatically balance generation and demand
  • AI forecasts load and output
  • robots and drones inspect hazardous assets

What protects the occupation

  • choosing the right question and checking causality rather than correlation alone
  • critical-infrastructure accountability
  • a large share of value comes from human judgement, trust or personal accountability
  • physical work and emergency restoration
  • system decisions under grid instability

United States · before tax

Average pay and outlook

Estimated nominal monthly pay. The scenario reflects sector, demand and task resilience; it is not a guarantee of income.

2026$8 450per month
2035$11 400scenario estimate
2026: $8 45020262027: $8 75020272028: $9 05020282029: $9 35020292030: $9 65020302031: $10 00020312032: $10 35020322033: $10 70020332034: $11 05020342035: $11 4002035
Find jobs ↗The partner link may contain referral parameters. Data benchmark: U.S. Bureau of Labor Statistics ↗

Job search and transitions

Find work with a lower risk index

Compare adjacent paths and open a current search for the selected occupation.

Carbon Accounting Automation Specialist

Skill fit 87% · risk 22%

Search jobs ↗

Skills you already have

  • analytical question framing
  • metric interpretation
  • energy-system understanding
  • technical diagnostics
  • safety-procedure compliance
  • emergency response

Skills to build

  • SQL and data preparation
  • visualization and forecasting
  • smart grids
  • energy storage
  • load forecasting
  • robotic inspection
CurrentHydropower Scientific Data Analyst · 34%
→
Keepanalytical question framing · metric interpretation · energy-system understanding
→
AddSQL and data preparation · visualization and forecasting · smart grids

Sources and update

Updated: 2026-09-25 · Assessment confidence: Medium

International Labour Organization · 2025Generative AI and Jobs: A Refined Global Index of Occupational Exposure

Nearly 30,000 tasks; a global assessment of GenAI exposure across detailed occupational groups.

World Economic Forum · 2025The Future of Jobs Report 2025

A survey of more than 1,000 employers representing over 14 million workers across 55 economies.

O*NET Resource Center · 2026O*NET Database

Occupational, task, skill and work-context structure.