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Operations Research Analyst. Operations Research Analysts

Occupation code: 15-2031(SOC) Skilled migration occupation Overall 7.8/10

Use mathematical modeling and optimization methods to analyze data, support management decision-making and policy formulation, and develop decision support software or services.

Ratings · Overall 7.8/10i

IncomeDemandProspectsPR FriendlyAI RiskCompetitionIntensityLearningDurationCertificationPR Difficulty

In the AI era: what happens to Operations Research Analyst.

Mixed

AI's impact on data analysts is mixed: tasks like data cleaning and basic report generation will be automated, but strategic interpretation, business communication, and cross-departmental coordination skills are harder to replace.

🤖 AI already replacing this job (tools / products / research / news)
  • Tableau Pulse Tool Partial 2023

    Replaces manual creation of data monitoring and anomaly detection reports by data analysts, automatically generating trend analysis and insights.

    ↗ Data sources
  • ChatGPT Tool Partial 2022

    Replaces data analysts' tasks such as writing SQL queries, Python scripts, generating data visualisation explanations, and producing analysis reports.

    ↗ Data sources
  • Power BI Copilot Tool Partial 2023

    Replaces data analysts' manual report creation, DAX expression writing, and data trend interpretation, lowering technical barriers.

    ↗ Data sources
  • DataRobot Platform Partial 2016

    Replaces the repetitive work of manual modeling, feature engineering, and model tuning for data analysts, achieving end-to-end machine learning automation.

    ↗ Data sources
⚠ Tasks AI will take over or replace
  • Data cleaning and preprocessing (e.g., missing value imputation, format conversion)
  • Standard reports and dashboard generation (e.g., automatic updates for weekly and monthly reports)
  • Simple statistical analysis and hypothesis testing (e.g., t-test, correlation analysis)
  • SQL queries and repetitive data extraction
  • Create basic visualization charts (e.g., bar charts, line charts)
↑ Tasks AI will augment
  • Using AI to automatically explore data features, accelerating discovery of hidden patterns and anomalies
  • Query databases through natural language to lower technical barriers
  • AI assists in drafting analysis reports, analysts focus on insight extraction
  • Automated feature engineering improves efficiency in building machine learning models
  • Real-time data monitoring and alerts to support immediate decisions
🛡 Human moat
  • Business problem definition and hypothesis construction
  • Data storytelling and strategic recommendation communication
  • Cross-departmental collaboration and change advocacy
  • Ethical judgment and data bias identification
  • Logical reasoning and causal analysis
Skills to build (next 5 years)
  • Advanced statistics and causal inference methods (e.g., A/B test design)
  • Data engineering and big data technologies (e.g. Spark, Airflow)
  • Machine learning model deployment and MLOps
  • AI tool application (such as AutoML, Copilot)
  • Business Strategy and Domain Knowledge Deepening
  • Advanced Data Visualization Design and Interactive Dashboard Techniques
Entry-level outlook

Entry-level roles (e.g., junior data analyst, reporting specialist) are narrowing due to AI automating data sorting and visualization, with companies favoring hiring senior analysts who can integrate with business.

🚀 How to level up in the AI era

Upgrade from data analyst to data strategist or data product manager: after mastering automation and AI tools, shift focus to defining data strategy, driving data-driven culture, and designing data products. Learn end-to-end data project management and business impact assessment to become the key link between technology and decision-making.

Salary

ExperienceAnnual (USD)
Entry level (0–3 years)$60,000 ~ $85,000Entry-level salary
Mid-level (3–7 years)$85,000 ~ $110,000Median salary
Senior (7+ years)$110,000 ~ $150,000Senior analyst or management role

Education Path

StageDurationCost (USD)
Bachelor's degree4 years$40,000~$80,000
Master's degree2 years$50,000~$100,000

Qualifications

QualificationIssuer
Bachelor's degree in Operations Research or related fieldUniversityRequired
Analyst certification (e.g., CAP)INFORMSOptional

Migration

Occupation classification code: 15-2031(SOC)

VisaDetails
H-1B H-1B Specialty OccupationsMost common non-immigrant work visa, requires bachelor's degree or higher
EB-2 Employment-Based Second PreferenceSuitable for applicants with advanced degrees or special abilities, requires PERM labor certification
EB-3 Employment-Based Third PreferenceSuitable for bachelor's degree or skilled workers, requires PERM labor certification.
TN TN NAFTA ProfessionalApplies to citizens of Canada and Mexico, requires specific occupation list

Who it fits

✓ Fits
  • People good at math and statistical analysis
  • Those curious about business problems and enjoy modeling
  • Tech talent looking to develop in data-driven industries
✗ Not for
  • People who dislike programming or mathematical derivation
  • People who prefer administrative or repetitive work

Career outlook

Junior analysts can advance to senior analyst or team lead; with experience, they can move into data science, supply chain management, or become management consulting advisors.

U.S. Bureau of Labor Statistics projects 23% employment growth from 2023 to 2033, much faster than average. Data-driven decision-making is spreading across industries, with strong demand in manufacturing, logistics, healthcare, etc.

Growth areas:
Data-driven decision makingSupply chain optimizationHealthcare analyticsArtificial intelligence

FAQ

What is the salary level of operations research analysts?
According to BLS data, the 2023 median annual salary is approximately USD 83,640, entry-level around USD 60,000, senior up to USD 150,000+. Varies by industry and region.
What are the pathways to immigrate to the US as an Operations Research Analyst?
Common pathways include H-1B work visa (requires bachelor's degree or above), EB-2/EB-3 employment-based green cards (requires employer sponsorship and PERM). Canadian and Mexican citizens can use TN visa.
What educational background is required?
Typically requires a bachelor's degree in operations research, industrial engineering, mathematics, statistics, or computer science. A master's degree is preferred, especially for advanced positions.

Data sources

Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.