What do Data Science & Analytics Managers want to see in your resume? Part One

Nakul Pednekar

If you’re looking to cash-in on the crazy Data Science & Analytics market, the first thing to do is update your CV & LinkedIn profile. If you understand the market trends, know the right buzzwords, and are clear and direct with what you can offer a company, you can easily increase your demand.

Firstly, in this case, size does matter. Resist the urge to include the “Credit” you received for participating in a Math Olympiad when you were in Year 10. Yes, it was impressive then, but you’re now a Senior Data Analyst at a top-tier Bank. Let it go!! The same goes for the amazing “big data” project you worked on in the 90s. It might be okay to leave that one out as well.

I’ve included some loose limits you should try to stay within below:

  • Graduate to 4 years experience: Ideally 1 page, MAX 2 (maybe if you’ve had 2-3 jobs, or have been a Consultant and want to include various projects)
  • 5-10 years experience: Ideally 2 pages, MAX 3
  • 10+ years experience: Ideally 3 pages, MAX 4 (Highlight your experience in the last 5-10 years, consider grouping roles before then, e.g. “2000-2008 – BI Developer roles at Commonwealth Bank & Telstra mainly with the MSBI stack”

Secondly, your first page is the key. A commonly discussed statistic is that the average person spends 7 seconds looking at a resume. If you nail your first page, it should take no longer than 5 for them to pick up the phone and give you a call.

Your contact information, Education, Technical skills (Primary and Secondary) are the basics, but what I love to see is someone that can sum this all up and start with their latest job at the bottom of the first page.

I’ll be putting out Part 2 of the blog next week but in the meantime, I’d love for you to let me know what you think (whether you agree or disagree!) or feel free to share it around to your network!


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