Skill Profile
Data Analytics
"Examining datasets—cleaning, querying, visualising—to identify patterns, trends or anomalies that answer a specific business or research question."
YOUR SKILLS
Problems This Skill Solves
- Decisions being made on gut feeling when the data to answer the question already exists but isn't being used
- Poor campaign or product performance going unnoticed until it's too late to act
- Data spread across disconnected systems with no single reliable view
- Misleading conclusions drawn from data because of flawed analysis or visualisation
More data always means better analysis.
Poor quality or irrelevant data adds noise; a smaller, well-understood dataset often produces more reliable insight.
Data analytics is just building dashboards.
The valuable part is framing the right question and interpreting what the numbers actually mean for a decision.
Research & Outlook
AI copilots embedded in BI tools now generate first-draft charts and summaries from plain-language questions, shifting analysts' time towards validating outputs and communicating nuance to stakeholders.
See This Skill In Action
Watch a professional demonstrate Data Analytics in a real working environment — what it looks like, how it's applied, and why it matters.
Technical / Data
Data Analytics
Also Known As
Growth Path
Cleans data and produces basic charts or summary statistics to answer a defined question.
Builds dashboards and runs deeper statistical analysis to uncover trends and drivers behind a metric.
Designs analytics strategy across an organisation, builds predictive models, and shapes decisions at leadership level with data.
How to Practise
- 1.Take a public dataset (e.g. from data.gov.uk) and produce a short analysis answering a specific question
- 2.Write SQL queries against a sample database to answer increasingly complex business questions
- 3.Build a dashboard in Power BI or Tableau that updates from a live or refreshed data source
- 4.Practise explaining a statistical finding to a non-technical audience in plain language
How to Prove
- ·A portfolio of dashboards or analyses with a clear before/after decision impact
- ·A recognised qualification or certification (e.g. Google Data Analytics Certificate, Microsoft Power BI certification)
- ·Evidence of a specific business decision changed by your analysis