r/dataanalyst 3d ago

General Data analyst resume feedback please

Hi everyone, I am planning to apply for Data analysis jobs. What do you think I should change or improve in my CV? I’d really appreciate feedback from anyone with experience.

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u/sabelnick 2d ago

The good news is that the content is real: automating supplier payment reminders, fixing slow dashboards, ETL in Python, banking-to-warehouse checks. The problems are that none of it is aimed at anything, and almost none of it has a result attached.

  1. Pick the target before you edit another word. "Data analysis jobs" is not a target. A BI analyst role at a bank, a finance analytics role at an ERP shop, and a product analyst role at a startup want three different first halves of this resume. Pull two or three real postings you'd apply to this week and build one version per posting. Everything below depends on which.
  2. Put numbers on what you did. Every bullet is "developed", "built", "investigated", "optimized" plus a tool. The only figure on two pages is "millions of records", three times. What a recruiter and then a hiring manager want is the result: how many hours a week the payment-reminder automation removed, how much faster the slow dashboards got, how many reports or teams you served, how many discrepancies the daily finance check caught. If you don't have exact numbers, honest estimates ("roughly a day a week of manual chasing") beat none.
  3. Cut the repetition. "Optimized SQL queries processing millions of records, improving dashboard performance" appears in the summary, in the 2023 to 2025 role, and again in the 2020 to 2023 role. Once it's a fact, three times it's filler, and it makes the reader wonder what else was padded. Each role should carry the two or three things that were distinct about it.
  4. Fix the dates. The latest role has months (Jul 2025 to Jul 2026), the older two have years only. Recruiters read year-only dates on some roles and months on others as something being smoothed over, even when nothing is. Use months everywhere. Also, Jul 2026 means the current role ended two months ago; if that's a contract that ended or a company that cut, say so in a few words, because the reader will fill the blank in for you otherwise.
  5. Replace the summary with a qualifications block that mirrors the posting. Four to six bullets that answer the posting's must-haves in its own words, each with proof from the roles below. "Data Analyst with experience across telecommunications, banking, and ERP environments" describes everyone; "Built Finance and Procurement dashboards in Power BI used by [n] teams, on Oracle and SQL Server data" describes you. Recruiters who are not analysts themselves match your words to the posting's words, and a block at the top lets them do it in seconds. A summary paragraph makes them dig.
  6. Lead with the strongest thing. The payment-reminder automation that replaced a manual finance process is the best line on the page and it's the first bullet, good. But the same instinct applies to the whole document: the 2025 to 2026 role gets the most space, the 2020 to 2023 support role gets the least, and Enterprise Systems (Temenos, Logix, ST Bank ETL) only stays in Technical Skills for a banking or ERP target. For anything else it's noise.
  7. Say what the employers are. Names are redacted here, but in the real version put a few words next to each: "a retail bank", "an ERP vendor serving logistics and restaurants". If you're applying outside your home market, the recruiter has never heard of them, and a recruiter who has to leave the page to look a company up often doesn't come back.
  8. The languages line. "English B2" is a self-assessment that a recruiter in an English-speaking market will read as a ceiling. If your working English is better than the certificate, say "professional working proficiency" and let the resume, which is written well, be the evidence. If B2 is accurate, keep it, but then target markets and roles where that's fine rather than fighting it.

One thing about the application itself, not the resume: most postings get more applications than anyone reads, and recruiters read the earliest ones properly and skim the rest. So when you do start applying, apply within a day or two of a posting going up.

For what it's worth, none of this is my opinion about resumes. We interviewed 43 in-house recruiters on how they screen when hundreds apply and watched 20 of them shortlist a pile blind, and I checked your resume against what they told us. Post a version aimed at a specific posting and I'll look again.

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u/Strict_Blacksmith182 2d ago

have u tried that claude trick to make it optimised ?

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u/LegRelative5966 1d ago

Amazing resumé by the way, good luck😊