Data Quality Analyst
Znane również jako: 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.
Kompetencje, które należy oceniać
Oto konstrukty behawioralne i kompetencyjne zawarte w tym profilu. Przy każdym z nich podano, który kwestionariusz hrmforce służy do jego pomiaru.
| Kompetencje, które należy oceniać | Poziom docelowy | hrmforce narzędzie | Metoda oceny | Kotwica behawioralna na poziomie docelowym |
|---|---|---|---|---|
| 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 Kompetencje (50-ramowe): 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 Kompetencje (50-ramowe): 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. |
Krótki profil
Dziesięć najważniejszych umiejętności w tym profilu. Pełny profil zawierający wszystkie umiejętności, punkty odniesienia behawioralne i metody oceny znajduje się w pliku do pobrania.
| T | Umiejętności | Poziom docelowy | Waga | Knockout | Metoda oceny |
|---|---|---|---|---|---|
| V | Assessing data quality | N5 | 5 | tak | Work sample test |
| A | Numerical reasoning | N4 | 5 | tak | Cognitive ability test |
| V | Data analysis | N4 | 5 | tak | Work sample test |
| K | Basic statistical interpretation | N4 | 5 | tak | Knowledge test |
| V | Critical thinking and source evaluation | N4 | 4 | nie | Work sample test |
| V | Visual communication and data storytelling | N4 | 4 | nie | Work sample test |
| V | Data visualisation | N4 | 4 | nie | Work sample test |
| V | Reporting and dashboard building | N4 | 4 | nie | Work sample test |
| V | Data modelling | N4 | 4 | nie | Work sample test |
| V | Data governance and ownership | N4 | 4 | tak | Structured interview |
Zobacz wszystkie 25 umiejętności w pełnym profilu
Narzędzia oceny dla tego stanowiska
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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