June 2026

June was another busy month for our team; there is a real sense that the Research Insight & Data market is beginning to come alive. Naturally the first place we see this is LinkedIn where there has been a marked rise in both inhouse and agency roles. 

We've asked how this is working for teams that are hiring and for now we are hearing that;

๐—ฌ๐—ผ๐˜‚'๐—ฟ๐—ฒ ๐—ด๐—ฒ๐˜๐˜๐—ถ๐—ป๐—ด ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฎ๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜๐—ต๐—ฎ๐—ป ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ.

๐—ฌ๐—ผ๐˜‚'๐—ฟ๐—ฒ ๐˜€๐˜๐—ถ๐—น๐—น ๐—ป๐—ผ๐˜ ๐—ณ๐—ถ๐—น๐—น๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฟole and if you are it's taking more time than expected.

Here's why:

This is the June 2026 picture for market research, data & analytics:

๐Ÿ“Š ๐— ๐—ผ๐—ฟ๐—ฒ ๐—–๐—ฉ๐˜€, ๐˜€๐—ฎ๐—บ๐—ฒ ๐˜€๐—ต๐—ผ๐—ฟ๐˜๐—ฎ๐—ด๐—ฒ of the right candidates. General UK vacancies are down ~9% YoY, permanent placements have fallen for 40+ consecutive months. Yet research & insight postings are up ~7.7% YoY.

More applicants arenโ€™t the same as more of the right applicants; strong candidates are still fielding 2-3 offers.

๐Ÿค– ๐—”๐—œ ๐—ถ๐˜€ ๐—ณ๐—น๐—ผ๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐—ป๐—ป๐—ฒ๐—น, ๐—ป๐—ผ๐˜ ๐—ณ๐—ถ๐˜…๐—ถ๐—ป๐—ด ๐—ถ๐˜ Candidates are using AI to mass-tailor CVs and cover letters to every posting in minutes, and speculative applications are climbing as a result.

That means your ATS is fuller, but a polished, keyword-perfect CV tells you far less about actual capability than it used to.

Ironically, most hiring teams say AI is making it harder, not easier, to spot the right person in the pile. This is why the LI ads are generating more response but it's not necessarily the right response. You could be getting CV blindness! 

๐Ÿ’ฐ ๐—ฃ๐—ฎ๐˜† ๐—ถ๐˜€ ๐—ฐ๐—ผ๐—ผ๐—น๐—ถ๐—ป๐—ด, ๐—ป๐—ผ๐˜ ๐—ฐ๐—ผ๐—น๐—น๐—ฎ๐—ฝ๐˜€๐—ถ๐—ป๐—ด Salary growth has slowed to its weakest pace in years. Good for budgets, but don't confuse a calmer market with candidates accepting less. Good talent still knows its value.

โš ๏ธ ๐—ง๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น ๐—ฏ๐—น๐—ผ๐—ฐ๐—ธ๐—ฒ๐—ฟ ๐—ถ๐˜€๐—ป'๐˜ ๐˜ƒ๐—ผ๐—น๐˜‚๐—บ๐—ฒ, ๐—ถ๐˜'๐˜€ ๐—ณ๐—ถ๐˜ Skills mismatch is now employers' #1 hiring challenge. Plenty of people can build a dashboard or get AI to help them look like they can on paper.

Far fewer can turn a dataset into a decision your board acts on. For a majority of the roles in this sector, you need a combination of technical and commercial skills and you need to be able to assess people effectively and efficiently.

๐ŸŽฏ ๐—ช๐—ต๐—ฎ๐˜ ๐˜๐—ผ ๐—ฑ๐—ผ ๐—ฑ๐—ถ๐—ณ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐˜๐—น๐˜† ๐˜๐—ต๐—ถ๐˜€ month Stop widening the net and stop trusting the CV alone. The companies filling roles fastest right now are pairing a tighter brief with a human filter early in the process - a proper conversation, then moving quickly once they find the real thing.

Be intentional, spend time honing the requirements before you kick start the campaign. Decide how to hire and you can control the process.

If you're hiring in the Research, Insight or Data space, could it be worth spending 15 minutes with us defining what's truly essential, rather than reviewing 40 AI-polished CVs that miss the mark?
#mrx
#marketresearch#hiring#recruitment

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May 2026