A marketing analyst is the person who tells the marketing team whether the money worked. You pull numbers from ad platforms, the CRM and the website, then turn them into an answer someone can act on before the next budget call. The job sits between marketers who want good news and finance people who want proof.
The hard part isn't the SQL. It's attribution. Google Ads, Meta Ads Manager and your CRM will each claim credit for the same sale, and the totals will never add up. You'll spend real hours explaining why the paid social manager's dashboard says one thing and your report says another. Some people love that detective work. Others find it exhausting, because the answer is often "we can't know for sure" and nobody wants to hear that in a quarterly review.
You also live with tracking that breaks without warning. A developer changes a checkout page, a tag stops firing, and a week of conversions quietly vanishes. Catching that before your manager does is a big part of what makes an analyst trusted. The fix is boring and it works: a short checklist you run every Monday morning, comparing yesterday's conversions in Google Analytics against the CRM and the ad platforms. When one line drops off a cliff and the others don't, you know where to look first.
You build the weekly report, clean up UTM tags, export campaign data into Excel and check that the numbers match the platforms. You're judged on accuracy and speed. A report that goes out wrong once gets remembered longer than a whole month of reports that went out right.
You own questions, not just reports. Which channel brought customers who stayed? Did the email redesign lift clicks or just move them around? You write SQL, build dashboards in Tableau or Looker Studio, and set up simple A/B test reads. You're judged on whether your recommendations change what the team spends money on.
You design the tests before they run, argue for sample sizes, and push back when a campaign manager wants to call a winner too early. You own the attribution approach and defend it to finance. People judge you on how often leadership trusts your number over the platform's number.
The ladder forks here. The manager track means hiring analysts, setting the reporting roadmap and sitting in budget planning. The expert track means media mix modeling, incrementality studies and forecasting, usually in Python or R. Both are judged on whether the marketing budget gets smarter over time.
Postings for this title lean harder on marketing platforms than a general data analyst role does, so name the ones you've touched. The free Google Analytics and Google Ads certifications are worth an afternoon each, since they teach the exact terms these postings use.
A data analyst might work on inventory one month and churn the next. A marketing analyst stays close to campaigns, so you learn the vocabulary: cost per acquisition, return on ad spend, lifetime value, funnel stages. You'll sit in campaign retros and planning meetings, not just hand off a file. That closeness is the appeal. It also means you get pulled into last-minute requests the afternoon before a launch, and you'll need to say no to some of them. The analysts who last learn to ask what decision a request feeds before they open a query editor. If nothing changes based on the answer, the request can usually wait until after launch.
18% of openings are fully remote.
$94,250 – $119,300
Typical range in the 16 of the newest 60 postings that list pay.
No. People come in from economics, statistics, business and plenty of unrelated majors. What gets you hired is proof you can pull and explain data. A portfolio piece that takes a public dataset or your own side project's Google Analytics and answers a real question does more than the degree name.
You can land some roles on Excel alone, mostly at smaller companies where the data lives in platform exports. Past that, SQL is the line between analysts who wait on engineers and analysts who answer the question themselves. Learn it early. It's the single skill that most changes which jobs you can go after.
The figure on this page is the typical range, and a few things push you toward the top of it. SQL and Python skills matter, and so does experience with paid media budgets, since companies pay more for someone who can tell them where large ad spend is wasted. Industry matters too: ecommerce and software companies tend to lean on analysts harder than a small agency does.
Senior marketing analyst is the usual step. After that, people split between managing an analytics team, going deeper into marketing science, or moving sideways into product analytics or a growth marketing role where they own a channel themselves.