Data Quality Analyst
Även känt som: Data Quality Specialist
Measures and monitors data quality in source systems, traces errors and inconsistencies and works with data owners on structural improvement.
The data quality analyst sets rules data must meet and flags deviations before they cause incorrect reports or decisions. Unlike a data steward who guards ownership and agreements, the emphasis here is on measuring and demonstrating quality problems themselves. Selection often looks at technical tools, while convincing a source department to fix a structural input error instead of repeatedly correcting the outcome is the real work in practice.
Kompetenser som ska mätas
Dessa är beteende- och förmågekonstruktionerna i denna profil. För varje konstruktion anges vilken frågehrmforce-frågeformulär som mäter den.
| Kompetenser som ska mätas | Målnivå | hrmforce instrument | Bedömningsmetod | Beteendeankare på målnivå |
|---|---|---|---|---|
| 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 Kompetens (50-ramverk): 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 Kompetens (50-ramverk): 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 tio viktigaste kompetenserna i denna profil. Den fullständiga profilen med alla kompetenser, beteendeankare och utvärderingsmetoder finns i nedladdningsfilen.
| T | Kompetens | Målnivå | Vikt | Knockout | Bedömningsmetod |
|---|---|---|---|---|---|
| V | Assessing data quality | N5 | 5 | ja | Work sample test |
| A | Numerical reasoning | N4 | 5 | ja | Cognitive ability test |
| V | Data analysis | N4 | 5 | ja | Work sample test |
| K | Basic statistical interpretation | N4 | 5 | ja | Knowledge test |
| V | Critical thinking and source evaluation | N4 | 4 | nej | Work sample test |
| V | Visual communication and data storytelling | N4 | 4 | nej | Work sample test |
| V | Data visualisation | N4 | 4 | nej | Work sample test |
| V | Reporting and dashboard building | N4 | 4 | nej | Work sample test |
| V | Data modelling | N4 | 4 | nej | Work sample test |
| V | Data governance and ownership | N4 | 4 | ja | Structured interview |
Se alla 25 kompetenser i den fullständiga profilen
Bedömningsverktyg för denna tjänst
Work sample test
Representative work sample under standardized conditions
Knowledge test (client-specific)
Professional knowledge test, customized for each client
Competency Check
Behavioral-Level Competency Assessment
Portfolio
Evaluation of prior work against fixed criteria
Ability Scan
Aptitude Test: Verbal, Numerical, and Abstract Reasoning Skills
Structured interview
Behavioral interview with a fixed structure
360 Feedback
Multiple assessments based on behavioral anchors
Big Fifty
Personality questionnaire, 150 items, 25 factors
Conflict Styles
Preferred style in conflict situations
15PF
Personality Profile, a shorter alternative to the Big Fifty
Motivation
Drivers and sources of motivation
Mental Resilience (4C)
Mental Resilience According to the 4C Model
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