A paste-ready headline and About section for a Data Analyst, next to the version they replace. Copy either one and edit it — nothing here is gated, and there is no form to fill in.
Analyst searches are tool searches — SQL, Tableau, Power BI, Python — because that is the fastest way to tell a dashboard-builder from a spreadsheet-owner.
Instant 0–100 recruiter-search score for the headline you have today, not this sample one. No login, no signup, no card. $1 unlocks the full rewrite — your About section and your top 3 Data Analyst experience bullets, rebuilt from your own words with SQL where a recruiter filter reads it. Delivered instantly, one payment, no subscription.
Counted, not scored: how many of the 5 recruiter-search phrases we hold for Data Analysts appear in each headline below. You can check it by hand.
Data Analyst | Helping teams with turning data into insight | Open to new opportunities
Experienced data analyst with a passion for turning data into insight. I'm a team player who thrives in fast-paced environments and gets things done. Strong communicator, detail-oriented and always learning.
Currently open to new opportunities — feel free to reach out!
This is a sample we wrote, typical of the profiles we see for this role. It is not a customer’s profile.
Written for the Data Analyst role, not from your profile — so every personal specific is a bracketed [slot] rather than an invented employer, date or figure.
Recruiters don’t browse LinkedIn, they filter it. These are the shapes of the queries that decide whether Data Analyst profiles appear at all:
"Data Analyst" AND SQL
"Data Analyst" AND Tableau
"Data Analyst" AND Python
One headline cannot serve every search. These are built from the same 5 Data Analyst keywords, pointed at the three searches Data Analysts most often need to appear in. Copy whichever one describes where you are this month.
95 of 220 characters. Recruiters filter on "open to work" and on the literal title in the same query, so both have to be in the line rather than only in your settings.
103 of 220 characters. A recruiter filtering for the senior band reads the first few words and nothing else, so the level word your field actually uses belongs in that bracket — and the scope beside it is what makes it checkable.
90 of 220 characters. Naming Data Analyst work you have already done puts you in the data analyst filter while the previous field still explains the CV.
The headline at the top of this page costs 103 characters, broken down below. 117are still free — that is room for one more specialism, a certification, or the employer you want to be found alongside.
Take the sample Data Analyst headline at the top of this page and read it against the queries recruiters actually run for this role:
"Data Analyst" AND SQL
"SQL" is nowhere in the weak headline above, so that profile is not in this result list at all.
"Data Analyst" AND Tableau
"Power BI / Tableau" is nowhere in the weak headline above, so that profile is not in this result list at all.
"Data Analyst" AND Python
"Dashboarding & Reporting" is nowhere in the weak headline above, so that profile is not in this result list at all.
Recruiter search reads your experience section too, not just the headline. This is the first of the three bullets a Data Analystrewrite builds, written in this role’s own search terms — free, paste-ready, brackets and all.
Puts "SQL" and "Power BI / Tableau" in the first line a recruiter's search actually reads.
Everything above was written for the role, which is why the brackets are there. The $1 full rewrite builds the complete About section, your top 3 experience bullets and your headline from three facts you supply — and leaves a visible blank wherever you tell us nothing.
Your 0–100 score is broken into its four parts too — from the identical scorer the free audit ran, so paying never re-grades you. What $1 changes is the text, not the number.
These are the only three things we can’t work out from your profile, and each one replaces a [bracketed slot] in your rewrite. Ten seconds each. Skip any of them and we bracket that one instead of inventing it.
Optional, all three. Nothing here is a login and none of it is required to buy.
We ask rather than invent: every answer above replaces a bracketed blank the rewrite would otherwise ship. Three delivered rewrites are published in full, blanks included.
Answer any one of the three questions above and we’ll write one finished line of your actual rewrite here — free, paste-ready, before you pay a penny. The paid review writes the rest the same way: the whole About section, your top 3 bullets and your ranked keywords.
Read your rewrite, and if it isn’t worth $1 to you, email standout15@mail.acoco.ai within 14days and we refund the full amount. No reason needed, no form to fill in, nothing to send back — and you keep the rewrites we already gave you.
Two real delivered orders — the headline a travel nurse arrived with next to the one we sent back, and a VP of Engineering bullet as supplied and as delivered — are published word for word, with the blanks they really shipped with.
If checkout drops out we email you a link back — optional, not a signup.
$1 — delivered instantly, no signup, one payment.Your review page opens the second you pay and fills in within minutes. No account, no subscription, nothing recurring.
Want the free 0–100 score on your whole profile first? Run the full audit — also free.
Real output from this tool. What our scorer gave a weak sample profile, and the unedited rewrite it got back on 13 August 2026— a sample we wrote, not a customer’s profile.
That score is what our own scorer gives the weak sample above, and you can reproduce it by pasting that text into the free audit. Three real delivered rewrites are published in full, with the visible blanks they shipped with, and one finished review is reproduced end to end. Nothing on this page has scored your profile.
"Data-driven storyteller" matches no filter. The tools you use every day match several.
A Data Analyst headline is 220 characters of index. Spend them on turning data into insight and a recruiter running "Data Analyst" AND SQLnever sees the profile — not ranked low, absent, because the filter matches strings and that string is not there. Spend the same space on SQL, Power BI / Tableau, Dashboarding & Reporting and the profile is in all 3 of the queries listed above.
Recruiters do not all use the same title: Data Analysts are also searched for as "reporting analyst" and "BI analyst". If one of those is what the job ads you want are called, put it in the headline in those exact words — a filter matches the string, not the meaning.
The About section is the second half of the same problem for Data Analysts: it is indexed too, it is longer, and it is where the specifics live — Python / dbt, the scope you carry, the specialisms that separate you from the next Data Analyst in the result list. The version above is structured for exactly that: Data Analyst first, then this role’s search terms — SQL, Power BI / Tableau, Dashboarding & Reporting, Python / dbt, Experiment Analysis— in the words a filter matches, then background, then one line telling a recruiter how to reach you.
None of this requires paying us, and none of it requires an account. Copy the Data Analyst blocks above, edit them, paste them in. When you want a number on the headline you have today rather than the sample one, tap for your free 0–100 Data Analyst score — it arrives on the next screen with no login, no signup and nothing to fetch from LinkedIn first.
Front-load the exact job title — Data Analyst — and then spend the rest of the 220 characters on hard search terms rather than adjectives. For this role those are SQL, Power BI / Tableau, Dashboarding & Reporting, Python / dbt, Experiment Analysis. "Data-driven storyteller" matches no filter. The tools you use every day match several.
Analyst searches are tool searches — SQL, Tableau, Power BI, Python — because that is the fastest way to tell a dashboard-builder from a spreadsheet-owner. In practice the queries look like "Data Analyst" AND SQL — or "Data Analyst" AND Tableau — or "Data Analyst" AND Python. Those terms belong in your headline and About section in the words the search box matches, not paraphrased.
LinkedIn gives you 2,600 characters and shows only the first two lines before "see more", so open with Data Analyst and your strongest search term — for this role that is SQL — and then use the space. The version on this page is 772 characters in four short paragraphs: who you are, what you do with SQL, Power BI / Tableau, Dashboarding & Reporting named in the words a filter matches, your specialisms and background, and one line telling a recruiter hiring Data Analysts how to reach you.
No, and we won't pretend otherwise. The "before" is a sample we wrote to be typical of the profiles we see for Data Analysts — it is not a customer's. The "after" was generated by our own rewrite tool from the role title alone, which is exactly why every personal detail in it is a bracketed [slot] instead of an invented employer, date or number.
This page is free and unlimited, and the 0–100 score on the headline you have today is one tap away with no login and nothing to fetch from LinkedIn. The only paid product is the $1 review, and what it adds for Data Analysts is the half this page cannot write: your own About section instead of the role-generic one above, your top 3 experience bullets reworded around SQL and Power BI / Tableau, your ranked keywords and your own score with its four-part breakdown. One payment, no subscription, no account, delivered in minutes, with a 14-day no-questions refund if it isn't worth it.
It fixes the part you control: whether the words a recruiter types — "Data Analyst" AND SQL, for instance — are actually in your text and read as a Data Analyst. It cannot create demand for a role nobody is hiring for, and the $1 rewrite doesn't claim to either.
No. Everything on this page is already rendered — copy it. If you want a number on your own headline, tapping "Data Analyst" on the free audit returns a 0–100 recruiter-search score and a rewritten headline on the spot: no login, no signup, no card, and nothing to fetch from LinkedIn first. We never ask for your password and never connect to your account.
Lead with the ones a recruiter filters on rather than the ones colleagues endorse: SQL, Power BI / Tableau, Dashboarding & Reporting, Python / dbt, Experiment Analysis. LinkedIn weighs the Skills section in search alongside your headline and About, so a skill that appears in all three is worth more than a long list that appears once. Add the tools and certifications specific to your own Data Analyst work underneath those.
See all 40 roles — or run one of the free tools on your own wording: LinkedIn Headline Generator, LinkedIn Profile Checker, LinkedIn About Generator, LinkedIn Keyword Finder.
