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V Skill HF-D7.2-001 cross-sector 13 kompetenser

Data analysis

Prepares and analyses data sets to find patterns, relationships and outliers and connects the outcomes to the original question.

Hur hrmforce mäter detta

Bedömningsmetod
Work sample test · rho 0.33 (SD 0.09)
hrmforce instrument
Ability Scan, Work sample test
Kompetens (50-ramverk)
Problem Analysis
Utbildningsbarhet
high
Prognos för efterfrågan 2026–2030
rising

The candidate performs a representative work sample under standardised conditions.

Beteendeankare

NivåBeteende på denna nivå
N1 Guided Carries out a predefined analysis step on a supplied data set and records the outcome in the agreed format.
works under supervision and follows instruction · routine, one variable at a time · own task
N3 Proficient Selects analysis methods for an open question, turns raw data into a working file and supports every conclusion with figures.
sets own approach and seeks input proactively · several variables, some ambiguity · own team or process
N5 Leading Sets the organisation's analysis standards, reviews the analyses of others and establishes new analysis methods in the profession.
sets the standard and the policy · strategic, under high uncertainty · organisation, value chain or profession

N2 och N4 är medvetet inte förankrade. Bedömarna placerar dem mellan förankringarna, i enlighet med konventionen O*NET.

Grundläggande kompetenser

Dessa kompetenser ärver bedömningsvägen och beteendeankarna för detta konstrukt.

TKompetensDefinitionPrognos för efterfrågan 2026–2030
V Building pivot tables
Pivot tables
Summarises large data lists in pivot tables with rows, columns and calculated fields and checks the totals. stable
T Power Query
Power Query
Retrieves data from multiple sources and reshapes it in Power Query as a repeatable cleaning step. stable
T Writing DAX formulas
DAX
Writes measures and calculated columns in DAX and checks that filter context produces the intended figure. stable
V Writing SQL queries
SQL · SQL queries
Queries a database with selections, joins, groupings and subqueries and checks the result on record counts. stable
V Performing data cleaning
Data cleaning
Makes a raw file ready for analysis by aligning formats, removing duplicates and handling missing values. declining
V Applying regression analysis
Regression analysis
Estimates the relationship between predictors and an outcome with regression and assesses assumptions, model and explained variance. rising
V Cohort analysis
Cohort analysis
Follows groups that entered at the same moment over time and compares their retention or behaviour. rising
V A/B test analysis
A/B testing
Analyses the outcome of a controlled experiment with two variants and determines whether the difference is meaningful. rising
V Time series analysis
Time series analysis
Analyses measurements over time for trend, seasonality and level shifts and produces a forecast from them. rising
V Outlier detection
Outlier detection · Anomaly detection
Detects values that deviate strongly from the rest, investigates the cause and decides on removal or retention. rising
V Cluster analysis and segmentation
Clustering · Segmentation
Groups records based on similarity of attributes and describes the resulting segments in understandable terms. rising
T pandas
pandas
Manipulates and analyses tabular data in Python with pandas through filtering, grouping, merging and derived columns. rising
T R for statistical analysis
R
Runs statistical analyses and graphics in R with scripts that are reproducible for colleagues. stable
Gratis demo