Data management and storage
Manages storage, access and lifecycle of data collections, applies changes in a controlled way and ensures backups and recovery work.
How hrmforce measures this
- Assessment method
- Work sample test · rho 0.33 (SD 0.09)
- hrmforce instrument
- Knowledge test (client-specific), Work sample test
- Competency (50-framework)
- Commitment to Quality
- Trainability
- high
- Demand outlook 2026 to 2030
- stable
The candidate performs a representative work sample under standardised conditions.
Behavioural anchors
| Level | Behaviour at this level |
|---|---|
| N1 Guided | Carries out assigned maintenance tasks on a data collection and records every change in the log. works under supervision and follows instruction · routine, one variable at a time · own task |
| N3 Proficient | Independently manages data collections, plans maintenance and recovery actions and tests whether a restore actually works. sets own approach and seeks input proactively · several variables, some ambiguity · own team or process |
| N5 Leading | Determines how data storage is organised for the organisation and decides on platforms, retention methods and continuity requirements. sets the standard and the policy · strategic, under high uncertainty · organisation, value chain or profession |
N2 and N4 are deliberately not anchored. Raters place them between the anchors, following the O*NET convention.
Underlying skills
These skills inherit the assessment route and the behavioural anchors of this construct.
| T | Skill | Definition | Demand outlook 2026 to 2030 |
|---|---|---|---|
| V | Setting up a backup strategy Backup strategy | Determines frequency, retention and location of backups based on agreed recovery time and maximum data loss. | stable |
| V | Testing restore from backup Restore testing | Performs a test restore, measures recovery time and records what still needs changing in the procedure. | rising |
| T | Microsoft SQL Server SQL Server | Manages SQL Server databases with permissions, indexes, maintenance plans and backups and monitors performance. | stable |
| T | PostgreSQL PostgreSQL | Manages PostgreSQL databases with roles, indexes, backups and execution plans for slow queries. | rising |
| V | Setting up a data warehouse Data warehouse | Sets up layers for raw, cleaned and modelled data and determines how often each layer refreshes. | rising |
| V | Managing an ETL process ETL · Data pipeline | Manages load processes that extract, transform and write data and handles failed runs using logging. | rising |
| V | Recording data lineage Data lineage | Records which source a field comes from and which transformations it undergoes on its way to a report. | rising |
| V | Master data management Master data management · MDM | Keeps core data on customers, employees or products current in one source and prevents diverging duplicate records. | stable |
| V | Archiving and purging data Data archiving | Moves old data to archive and deletes what may no longer be kept, demonstrably and repeatably. | stable |
| V | Controlling storage costs Storage cost management | Monitors storage volume and cost, chooses suitable storage tiers and removes unnecessary copies of data. | rising |