Resume + LinkedIn Job Kit™
Most resumes are rejected by software before a human ever sees them. This kit gives you ATS-optimized templates and a LinkedIn system built to get data analyst interviews — not just profile views.
One-time payment · Instant download · Lifetime access
⚡ Limited launch price — increases soon. One-time payment, no subscription.
“Got my first data analyst role 6 weeks after buying this. The SQL section is exactly what they test.”
“The Python scripts alone save me 4 hours every week. This guide paid for itself 100 times over.”
See Inside Before You Buy
This is what 120+ pages of premium, structured data analytics education actually looks like — not slides, not padding, not filler.
What You Get
ATS-Optimized Templates
Word and PDF formats tested against real applicant tracking systems.
Keyword Bank
The exact terms recruiters search for data analyst roles.
LinkedIn Overhaul
Headline, about section and skills setup that makes recruiters reach out.
Bullet Formulas
Turn vague duties into quantified achievement statements.
Portfolio Linking
Present GitHub and dashboards so recruiters actually click.
Application Strategy
Where and how to apply so your response rate climbs.
Who This Is For & What You’ll Learn
Who This Is For
- Job seekers getting zero responses
- Career changers with no analyst job titles yet
- Anyone whose LinkedIn is invisible to recruiters
- Graduates competing against experienced applicants
What You’ll Learn
- What ATS software actually filters on
- How to describe non-data experience in data terms
- The LinkedIn settings that trigger recruiter searches
- How to follow up without being ignored
The resume and LinkedIn system that gets data analyst interviews. ATS-optimised templates, real examples from analysts who got hired, and a LinkedIn profile checklist that makes recruiters reach out to you.
Most analyst resumes are rejected before a human reads them. Applicant Tracking Systems filter out 75% of applications based on keyword matching and formatting. This kit is built specifically to get past ATS and into the hands of hiring managers.
What's inside
- 3 ATS-optimised resume templates in Word (.docx) and PDF — clean, modern, keyword-rich
- Real resume examples from analysts hired at Big 4, tech companies, and consulting firms
- Data analyst keyword bank: 80+ role-specific keywords sorted by skill category
- Resume bullet formula: the ACTION → TOOL → RESULT framework that quantifies everything
- LinkedIn profile checklist: 25 optimisation steps that increase recruiter messages by 3–5x
- LinkedIn headline formulas used by analysts with 50+ recruiter messages per month
- Cover letter template with customisation guide
- GitHub profile README template for portfolio presentation
- Job application tracker spreadsheet
Who this is for
Career changers entering data analytics for the first time. Analysts who are applying but not getting callbacks. Anyone who has been told their resume needs work but doesn't know what to change.
Instant download. Word files fully editable. Works with Google Docs.
Real people, real analyst jobs
4,200+ students. Jobs at Deloitte, Amazon, McKinsey and more.
Got my first data analyst role 6 weeks after buying this. I had been trying to break in for 2 years. The SQL section is exactly what they test — the portfolio walkthroughs made all the difference.
The Python automation scripts alone save me 4 hours every single week. My manager asked what changed. This guide paid for itself 100 times over in the first month.
I tried 3 other courses. None got me to the interview stage. This is the first resource structured around what employers actually need to see — not just what is easy to teach.
I came from marketing with zero coding. By day 90 I had a portfolio and an offer. The salary negotiation script added €9,000 to my initial offer. Incredible value.
Had 4 interviews in one week. Got 3 offers. The SQL window functions and business case frameworks are exactly what they test at consulting firms. Nothing else comes close.
Used the Power BI templates in my first week. My manager asked how long I spent building them. I said a couple of hours — it was actually 20 minutes. Never looked more competent on day one.
