Landing a first data analyst role in London
Forty applications, zero replies. A rebuilt CV and fourteen aimed applications later, an offer in week five.
- Timeline
- 5 weeks
- Applications
- 14
- Screeners passed
- 6
- Offers
- 1
Maya (a pseudonym) graduated with a statistics degree and one strong dissertation project, then sent forty applications and heard nothing back. The CV was the problem: it read like a course list, not like evidence that she could do the job.
Nobody tells you why you were rejected. Silence was the only feedback I had for two months.
Turning coursework into evidence
JobExpress rebuilt the CV around the dissertation: a two million row dataset, the methods, the finding, and what it would mean to a business. Coursework was condensed into three concrete projects, each with numbers, and the skills section was cut down to the tools that appear in real postings: SQL, Python, and a BI tool.
Applying where the door was open
The search switched from famous names to teams actually hiring juniors: openings verified as live, smaller firms, and roles where SQL plus statistics was the core ask. Fourteen applications went out over three weeks, each tailored to the posting.
Week five
Six passed screening and four became interviews. A retail analytics team made an offer in week five; the hiring manager quoted the dissertation bullet back in the interview. Maya's first dashboard shipped in her second week on the job.
Names are pseudonyms and some details are blurred to protect privacy.