Profile Coachby Ideal Minds

Fictional sample — not a real person or real analysis

"Jordan" is an invented entry-level data analyst. Your own review only uses what you provide and never invents facts. Placeholders show where real details are needed.

Sample review: entry-level data analyst

Before — headline

Recent graduate looking for opportunities

After — headline

Entry-Level Data Analyst | SQL · Excel · Tableau | Turning sales and survey data into clear reports

0 of 8 done

Jordan's profile shows real, relevant analysis work from a capstone project and a retail job, but the headline and experience entries don't yet say "data analyst" or show what the analysis achieved. Most improvements are about naming the target role and making existing work visible.

Your 3 highest-impact next steps

  1. 1

    Name the target role in your headline

    Replace "Recent graduate looking for opportunities" with a role-first headline that lists your core tools.

    Headline

  2. 2

    Turn the capstone into evidence

    Rewrite the capstone entry as 2–3 bullets that state the data, tools and outcome.

    Experience

  3. 3

    Add the core analyst skills you actually use

    Add SQL, Excel, Tableau and data cleaning to your Skills — all are shown in your experience.

    Skills

What's already working

  • Capstone project uses SQL and Tableau on a real public dataset.
  • Retail role includes weekly sales reporting — directly relevant analyst work.
  • Profile photo is recognizable (self-check: Yes).

Headline

Lead with the role you want

High priority
What we observed
Current headline: "Recent graduate looking for opportunities".
Why it matters
Recruiters search by job title and tools; a generic headline doesn't match those searches or tell a skimmer what you do.
What to do
Use a headline that names the target role and the tools shown in your experience.
Draft

Entry-Level Data Analyst | SQL · Excel · Tableau | Turning sales and survey data into clear reports

About

Open with what you do, not that you're looking

Medium priority
What we observed
About starts with "I am a hard-working and passionate individual…".
Why it matters
The first two lines show before "see more"; they should state your focus and evidence.
What to do
Rewrite the opening around the analysis work you've done and the role you're targeting.
Draft — fill in the highlighted placeholders

I'm an entry-level data analyst who enjoys turning messy data into clear answers. In my capstone I used SQL and Tableau to analyze [PLACEHOLDER: dataset name] and found [PLACEHOLDER: one key finding]. I'm looking for a junior analyst role where I can support reporting and decision-making.

Facts needed from you

  • Which dataset did the capstone use?
  • What was the single most useful finding?

Experience

Rewrite the capstone as achievement bullets

High priority
What we observed
Before: "Capstone project — worked on data analysis with a team."
Why it matters
Without tools, scope and outcome, a recruiter can't tell what you did. Specific bullets substantiate the skills in your headline.
What to do
Describe the data, your part, the tools and the result. Keep only facts you can stand behind.
Draft — fill in the highlighted placeholders

• Cleaned and joined [PLACEHOLDER: number] rows of public transit data in SQL to analyze ridership by route • Built a Tableau dashboard comparing weekday and weekend demand, presented to [PLACEHOLDER: audience] • Wrote a summary recommending [PLACEHOLDER: recommendation] based on the analysis

Facts needed from you

  • Roughly how many rows or records?
  • Who did you present to?
  • What did you recommend?

Surface the reporting in your retail job

Medium priority
What we observed
Retail Associate entry mentions "helped with weekly sales sheets".
Why it matters
This is genuine reporting experience that supports an analyst pivot.
What to do
Add one bullet that names the tool and what the report was used for.
Draft — fill in the highlighted placeholders

• Updated the store's weekly sales report in Excel, which the manager used to [PLACEHOLDER: how it was used]

Facts needed from you

  • How did the manager use the report?

Skills

Add analyst skills shown in your work

High priority
What we observed
Skills list: Customer Service, Teamwork, Microsoft Word, Social Media.
Why it matters
Recruiters filter by skills. SQL, Excel and Tableau appear in your experience but not in your Skills.
What to do
Add SQL, Microsoft Excel, Tableau, Data Cleaning and Data Visualization. Around 8–18 relevant skills is a useful starting range — keep any that are genuinely relevant.

Facts needed from you

  • Have you used Python or Power BI? Add them only if yes.

Reorder less-relevant skills

Low priority
What we observed
"Social Media" isn't connected to any analyst work shown.
Why it matters
Pinning analyst skills first makes them the ones people see.
What to do
Pin your top three analyst skills; keep Customer Service, which supports stakeholder work.

Presentation

Banner is optional polish

Low priority
What we observed
Self-check: custom banner — No.
Why it matters
A simple banner adds polish, but it matters far less than headline, experience and skills.
What to do
Once the higher-priority items are done, consider a plain banner with a simple dashboard image or neutral color.

Job-search settings

Set Open to Work preferences

Medium priority
What we observed
Self-check: Open to Work — Not sure. Connections: 85 (context only).
Why it matters
Job preferences tell recruiters which titles and locations you want. A smaller network is normal for new grads and isn't a problem.
What to do
In Open to Work, add titles such as Data Analyst and Junior Data Analyst and choose whether it's visible to recruiters only or everyone.

Facts needed from you

  • Which locations or remote options do you want?

Questions that would sharpen your drafts

  • Which tools have you used outside the capstone?
  • Did any analysis lead to a decision or change?

Priorities are coaching judgments, not a score, ranking or prediction of interviews. Review every suggestion before publishing.

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