Prognostekniker

Prognostekniker is a professional title used in several Nordic contexts for specialists who develop and apply forecasts using statistical methods, data analysis, and technical modeling. The work covers a broad range of sectors, including meteorology, energy, transport, manufacturing, healthcare, and public administration, where forecasts are used for planning, risk assessment, and decision support. The position emphasizes both methodological rigor and practical communication, translating complex models into actionable insights for managers and planners.

Typical duties include collecting and cleaning data, selecting appropriate forecasting methods (time series analysis, regression, machine learning), building and validating models, producing short- and long-term forecasts, developing dashboards and reports, and presenting results to non-technical stakeholders. Prognostekniker may also monitor forecast accuracy, update models with new data, and advise on scenarios and contingency plans.

Education and skills: common educational paths include bachelor’s or master’s degrees in statistics, data science, mathematics, economics, engineering, or related fields. Proficiency in programming languages such as Python or R, data querying with SQL, and data visualization tools is expected. Knowledge of time-series analysis, forecasting theory, experimental design, and domain-specific knowledge of the sector is valuable. Strong analytical thinking, problem-solving, and communication skills are essential.

Work settings: prognostekniker work in both the private and public sectors, within analytics, planning, or operations departments. Collaboration with domain experts—engineers, meteorologists, economists, IT specialists—and an emphasis on transparent reporting and decision support are common.