Market Research Analyst (Professional Services)
Run surveys and studies for clients to learn what customers want, then explain the findings in reports
What does a Market Research Analyst (Professional Services) do?
Market research analysts at professional services firms work on studies for many different clients. They design surveys, run focus groups, analyze the answers, and present what shoppers think and do. Curious people who like both numbers and stories about why people choose things do well.
A day in the life
What's great
- Discover why people buy what they buy
- Blend of math, writing, and people
- Projects for many kinds of clients
- Results shape real products
The hard parts
- Client deadlines can be tight
- Data can be messy or point nowhere
- Long stretches of spreadsheet work
- Clients may ignore uncomfortable findings
What is a Market Research Analyst (Professional Services)'s salary and outlook?
Typical pay in this guide runs from about $45,000 to $112,500 a year, with a midpoint around $75,000. These are planning figures for students, not a job offer or an official wage.
CareerLens rates the outlook as Growing.
For the official national outlook, see BLS Occupational Data.
How do you become a Market Research Analyst (Professional Services)?
A common path is Bachelor's degree in marketing, statistics, or social science. The ladder often runs from Research Assistant to Market Research Analyst, then Senior Research Analyst or Research Manager, and Director of Insights. Other routes: Master's in market research or statistics; Professional researcher certification after experience; Start with an internship at a research firm.
- Master's in market research or statistics
- Professional researcher certification after experience
- Start with an internship at a research firm
Career path
Will AI replace a Market Research Analyst (Professional Services)?
How much will AI change this job?
AI will change many everyday tasks in this job. The work shifts toward judgment, checking, and people.
AI will handle data crunching, but insight and strategy stay human.
AI tools can quickly sort through surveys, sales numbers, and online trends. This means analysts spend less time crunching data and more time figuring out what it means. People will still be needed to ask smart questions, spot what AI misses, and explain findings to clients.
AI can help with
- Summarizing large surveys and customer feedback fast
- Spotting patterns in sales or website data
- Creating quick charts and first-draft reports
What stays human
- Deciding which questions matter to a business
- Explaining research results to real people clearly
- Judging if AI's data patterns actually make sense
Skills to build now
- Practice writing clear summaries of information you read
- Take math or statistics classes to understand data
- Join debate or discussion clubs to explain ideas well
Based on public research from Anthropic and OpenAI, drafted with AI, checked automatically, and read by a person. How we know
This describes how the work may change. It is not a prediction that the job will disappear.