A marketing specialist figures out who your customers are, what they want, and whether your marketing is working, then turns that into clear recommendations. Day to day you collect data (surveys, web analytics, competitor pricing), analyze it, and explain it in charts and plain writing. Why this matters: companies spend money on guesses unless someone shows evidence, and that someone is you. The path is: learn marketing basics and how to read numbers, build a small portfolio of real projects (a survey, a competitor analysis, a campaign report), learn the core tools (Google Analytics, Excel/She
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Every stage from beginner to expert, with lessons, practice drills, projects, interview questions and free resources. Free with a Rolearch account.
Stage 1 of 4 · about 8 weeks
Learn marketing basics (the 4 Ps, segmentation, targeting, positioning, the funnel), core statistics (mean, median, percentages, sample size, margin of error) and spreadsheet skills. Practice: pick a local coffee shop and write a one-page profile of its customers, competitors and prices.
Marketing fundamentals: the 4 Ps and the funnel
Every research question a marketing analyst gets is really about one of these: what is sold, at what price, where, and how it is promoted, and where customers drop off. If you know this vocabulary, you understand what your stakeholders are asking and what to measure.
Segmentation, targeting and positioning (STP)
Businesses cannot serve everyone. Research analysts are asked to find who the customers are, which groups matter most, and how the business is seen compared to rivals. STP is the framework for answering those questions.
Core statistics for market research
Research findings are numbers: percentages, averages, and claims such as '62% prefer oat milk'. You must know when those numbers can be trusted. Sample size and margin of error tell you how far to trust a survey, and this protects you from giving bad advice.
Spreadsheet skills in Google Sheets
Spreadsheets are the daily tool of research and marketing specialists. Almost every dataset starts here, and employers expect you to clean, summarize and chart data quickly and accurately.
Field research and the one-page business profile
Employers hire people who turn raw observation into a short, clear, useful document. This skill pulls together everything above and gives you your first real work sample.
Then 3 more stages (about 68 weeks in all) with lessons, drills, projects, 10 interview questions with strong answers and free resources.