Sharon Bernstein is a former SVP and Director of Digital Analytics at Mediavest.
You’re ready for the next step in your career. You have a few years of experience under your belt, and you’re using your network to see what’s out there. But first, it’s time to update your analyst resume. Your resume is a reflection of you, your personality, and your professional style. There are no rules to writing a great data analyst resume, its only goal is it should be applicable to the job your applying for and land you the interview. You can follow along with this article using this example resume.
The Header of an Analyst Resume
Your header should include your:
- Name (use your middle initial or middle name if your given name is common)
- LinkedIn profile address
- Mobile phone number
- Email address
No need to include your mailing address; all communications should be electronic.
The Objective of an Analyst Resume
The objective is where you can specifically target the role you are applying for, and is a chance to summarize your data analyst skill set in one sentence. It establishes why you are a great fit for the job, and shows that you have what it takes to drive value, and contribute to the company. Make sure your objective includes the specific title for the job you are applying. Also include the top two or three skills that demonstrate why you are a great candidate for the role.
The qualification summary is your opportunity to summarize all of your soft, non-technical analyst skills that might not be apparent from your job experience section. This is especially important for data analysts! It not only highlights your achievements and abilities, but the qualities you want your potential employer to know you have. This is the only place in your resume that you can be subjective, but keep it concise; make sure not to go overboard or be too flowery.
This section should also be tailored specifically to the job you are applying to, based on the given description. Focus your experience and abilities on the key functions of the job to show you won’t need a lot of ramp up time or adjusting.
You can also include any awards or special recognitions in this section.
Technical skills are the baseline requirement for any data analyst. It’s important to show you have a well-rounded knowledge of different tools and can analyze different data types. As the industry is overwhelmed with so many different data platforms and custom implementations, employers want to see that you have experience in multiple iterations as well. Make sure to include all of the data skills you have, as well as the different platforms you have experience with; it’s equally important to show you have experience in Microsoft Office and can put together analysis and presentations.
Make sure to include the following in this section:
- Coding skills
- Media specialties (e.g., TV, mobile)
- Microsoft Office
- Social media/monitoring
- Third-party research
- Data visualization tools
- Web analytics
This section is going to differ for everyone, as no one has the same work experience. Be sure to include key facts that will impress the hiring manager in context for the role you are applying for:
- How you used data in your job
- How you applied data
- What the analysis was used for
- Data volumes analyzed
- Granularity of data analyzed
- Advertising budgets measured
Last but not least, make sure to include your education, and list any certifications in your data analyst resume.
This article is the first part of a series of articles on launching your career in analytics. Read part two and part three now.