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Quantitative Research Analyst

Også kendt som: Quantitative Researcher

Turns research questions into quantitative analyses, designs surveys or experiments and statistically tests whether observed relationships are reliable.

The quantitative research analyst collects and analyses numerical research data, from sample design to statistical testing of the outcomes. Unlike a data analyst who examines existing business data, they often design the research and the measurement approach themselves. Selection often looks at software skill, while recognising a bias in the sample before the conclusion is drawn makes the difference in practice between a defensible and a misleading outcome.

Kompetencer, der skal måles

Dette er adfærds- og kompetencekonstruktionerne i denne profil. Hver enkelt viser, hvilket spørgeskema i hrmforce der måler den.

Kompetencer, der skal måles Målniveau hrmforce instrument Evalueringsmetode Adfærdsmæssigt anker på målniveau
Numerical reasoning
Knockout
N4 Ability Scan Cognitive ability test Combines two data sources, calculates the development over time and explains which calculation step leads to which result.
Curiosity and exploring
Kompetence (50-rammeværk): Learning Ability
N3 Big Fifty, 15PF, Motivation Personality questionnaire Gathers information on new methods outside the own team and brings findings into the work meeting unprompted.
Dealing with ambiguity
Kompetence (50-rammeværk): Flexibility
N3 Big Fifty, Mental Resilience (4C), Competency Check Situational Judgement Test Formulates explicit assumptions when information is missing, proceeds on that basis and revises the approach once new data arrives.

Kort profil

De ti vigtigste kompetencer i denne profil. Den fulde profil med alle kompetencer, adfærdsmæssige ankerpunkter og vurderingsmetoder findes i downloadfilen.

T Kompetence Målniveau Vægt Knockout Evalueringsmetode
A Numerical reasoning N4 5 ja Cognitive ability test
V Critical thinking and source evaluation N4 5 ja Work sample test
V Data analysis N4 5 ja Work sample test
K Basic statistical interpretation N4 5 ja Knowledge test
V Visual communication and data storytelling N4 4 nej Work sample test
V Data visualisation N4 4 nej Work sample test
V Assessing data quality N4 4 ja Work sample test
V Reporting and dashboard building N4 4 nej Work sample test
V Testing hypotheses N4 4 ja Work sample test
V Data modelling N4 4 nej Work sample test

Se alle 25 kompetencer i den fulde profil

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