Data Analyst Resume Do's and Don'ts

Get tips on what to include and what to avoid when writing a resume for your next data role

Author

Karina Samsonova
August 30, 2024

Writing a Data Analyst Resume: Do’s and Don’ts

The latest study shows, that recruiters spend between seven to nine seconds to view your resume.

Here are some key tips to make sure your resume stands out:

  • Keep It to One Page

    Even if you have 30 years of experience, focus on the experience that matters most to the job you’re applying for, and on your latest experience.

  • Design Resume for Job Title

    For example, if you’re applying for a junior data analyst role at two different companies, the required skills will likely be similar. Optimise your resume for the job title rather than customising it for every single job description.

  • Simple Resume Template

    Simplicity and clarity often work best. No colors, no extra elements - they are just distractions.

  • Highlight Keywords and Relevant Experience

    Recruiters scan resumes in an F format.

Make sure to use relevant keywords early in your resume and highlight your most relevant experience right at the top.

  • Use Bullet Points

    It helps quickly grasp your accomplishments and responsibilities.

  • Add Links to Your Portfolio

    Make sure it is easy for Recruiter to access your Portfolio. Briefly describe what was the goal of your project, what you did and what was the result. For example:

Sentiment Analysis Project

Developed a machine learning model to predict mental conditions based on verbal conversations. Utilized logistic regression to train the dataset, focusing on identifying key emotional indicators from text data. Achieved [mention accuracy/metrics if available] accuracy in classification, demonstrating strong proficiency in predictive modeling and text analytics. This project highlights my ability to apply data science techniques to real-world problems, particularly in the mental health domain.

  • Share Your Resume as PDF

    Many recruiters have issues opening CVs that are not in PDF format. Make it easier to hire you

  • Check For Typos

    Attention to details is crucial for data analysts. When I see typos in the resume - it is a 🚩 red flag to me. It takes 2 minutes to run your resume through Spell check in Microsoft Word or ChatGPT

And another advice I will give you - approach data hunt as a data analytics project. If you applied to 100 jobs and didn’t hear anything back - make changes to your resume and apply for the next 100.

Keep tweaking and analysing what work and what didn’t. Also I recommend you to create an Excel/Google sheet to keep track of jobs you applied to and what CV resume version you applied with.

In case you want a one page CV template:

and if you want me to review your resume, you can apply here:

Remember that job hunt is a number’s game. More you apply - more chances you have to land your dream job.

Keep pushing 💪

Karina