There is a persistent gap between the skills discussed in commentary and the skills listed in actual job adverts. The adverts are the better source, and what they ask for is more ordinary - and far more learnable - than the discourse implies.
The consistently requested technical skills
Across professional job adverts in most sectors:
- Spreadsheet fluency at a genuine level - pivot tables, lookups, conditional aggregation, charting. Still the most widely requested technical skill in business roles, and still commonly overstated on CVs and underperformed at interview.
- SQL, for anything touching data. Learnable to working standard in weeks and gates a large number of analyst salaries.
- A BI or reporting tool - Power BI, Tableau or equivalent.
- Project management fundamentals, whether or not the role is titled as such.
- Sector-specific systems - the CRM, ERP or case management system your industry runs on. Named exactly, and worth listing exactly.
- AI tool fluency, increasingly listed as a baseline expectation rather than a specialism.
The consistently requested non-technical skills
These appear in almost every advert, and unlike the technical list they are usually assessed at interview rather than screened for:
- Communicating with non-specialists. The most consistently reported gap by hiring managers across analytical and technical roles.
- Stakeholder management - working with people who do not report to you.
- Written clarity. Undervalued by candidates, immediately visible to employers.
- Prioritisation and self-direction, particularly in hybrid and remote roles.
- Commercial awareness - understanding how the organisation makes money and how your work connects to it.
What the pattern tells you
The scarce combination is almost never "deep technical skill". It is a technical capability plus the ability to apply it to a business problem and explain the result. Employers have no shortage of people who can operate tools, and a persistent shortage of people who can turn a vague business question into an answer someone acts on.
That is why domain knowledge is such a strong differentiator, and why a career changer's previous industry is an asset rather than a liability.
How to find out for your own market - properly
Do not rely on lists like this one. Do this instead:
- Collect 25 live job adverts for the roles you want
- Copy the requirements sections into a single document
- Count how often each skill appears
- Split into "required" and "desirable"
- Compare with your own CV, honestly
That is a frequency analysis, it takes an hour, and it will give you a far better answer for your specific market than any published survey. It also directly tells you what vocabulary to use in your applications.
The skills that are over-hyped relative to demand
Not useless - just less commonly required than the discourse suggests, especially for entry into business roles: machine learning and deep learning, advanced programming for non-technical positions, and blockchain-related skills. Learn them if your target roles ask for them; do not learn them because an article said the future demands it.
Where to focus if you have limited time
Spreadsheet depth, SQL, statistical reasoning, and the ability to present findings clearly. This combination appears in more job adverts than any exotic alternative, works across every sector, and is learnable in months rather than years.
The Statistics for Business course at London School of Business UK covers the reasoning and the communication half of that set directly. Enquire today.