Operations research analyst

Operations research analysts help organisations to improve business operations. They collect and examine data to resolve operational issues through software, services or products.

Also known as

Operations design analyst, design analyst, standards analyst, standards adviser, decision support analyst

Work environment

  • Usually work regular business hours
  • Usually work in offices
  • Need to be logical, accurate and identify and solve problems

Salary information

MOST COMMON
UPPER
LOWER
$55K-$138K 55000

Typical tasks

  • Collect and organise data
  • Assess data quality
  • Find data patterns
  • Analyse data to find and solve problems
  • Create scientific and mathematical models
  • Apply mathematical and statistical techniques
  • Develop analysis tools
  • Suggest improvements to business operations
  • Write and present research reports

Outlook

Organisations are increasingly using data, forecasting and optimisation to improve decisions about transport, staffing, supply chains, health services and resources. In New Zealand, demand is supported by digital transformation and the need to improve productivity and resilience. Globally, artificial intelligence and advanced analytics are expanding what can be modelled, while human judgement remains important for checking results and making responsible decisions.

What employers and industry want in graduates

  • Strong mathematical, statistical and analytical thinking
  • Ability to turn real-world problems into clear models
  • Confidence using data-analysis and programming tools
  • Curiosity and practical problem-solving
  • Clear communication of complex findings to non-specialists
  • Awareness of ethics, privacy and limits in data use

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This data is sourced from the Tertiary Education Commission through the Tahatū Career Navigator website (www.tahtu.govt.nz) and used under the CC BY 4.0 licence. Some of the information has been modified by AUT. TEC has not approved, endorsed or tested these modifications. TEC will not be held accountable for any errors within this data.