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Create a professional data analyst resume that will impress employers. Follow these tips and examples to catch recruiters’ attention.
Data analyst jobs are among the most in-demand jobs, creating a lot of competition. You have to write the perfect resume to stand out from the crowd. So, this article will teach you how to write a resume that highlights your strengths. We’ll also inform you which resume formats work best according to your experience level.
Your work history section should state your work experience starting with the most recent job. List your top responsibilities and achievements under each job, tailoring this information to fit the job description. Employers will use applicant tracking systems (ATS) that look for critical skills and other keywords that fit data analyst work, and filter out any job applications that don’t match the job ad. That’s why it’s essential to pay close attention to job descriptions during your job search.
To improve your experience section, be specific about what you’ve accomplished at previous jobs. This includes presenting your achievements in terms of quantifiable numbers (e.g., “Implemented processes that improved shipping times by 14%”). Adding numbers allows employers to visualize the impact you had at your last job. State each previous job task or achievement in bullet point form for a more presentable, scannable look.
Your resume should show how you learned your skills. Most data scientist jobs require a bachelor’s degree but, many data analysts have a master’s degree or higher. In your education section, feature your top academic credential, an include workshops and conferences where you’ve learned SAS skills. List any specialized coursework you’ve had in mathematics, statistics, and computer science – all sections that prepare you to tackle big data.
Your education section should begin with your highest degree. Below each, state your degree type, major, university, and location.
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Before writing your resume, it’s essential to consider what being a data analyst entails. You can find this information in the data analyst job posting itself. If you want to catch hiring managers’ attention, then you need to address what they’re looking for. Here are some examples of responsibilities you’ll find in job ads:
The most popular resume format is the reverse-chronological resume. Many opt for this format because it prioritizes your experience while also featuring your top skills. According to surveys, hiring managers only spend seven seconds looking at each resume. That’s why your professional resume needs to be great. But, if you’re an entry-level data analyst, then a functional resume that highlights your skills more than your experience is ideal.
This section should include your name, phone number, and email address. You can also include professional portfolio links, such as your LinkedIn profile. This allows employers to get a sense of your broader skills and career history.
Data analysis calls for a technical skill set, so you should state your capabilities at the beginning of your resume with a resume summary or resume objective. A resume summary shows what you have achieved during your career. Senior data analysts can use this type of introduction. You should consider a resume objective if you don’t have much professional experience, placing importance on your career goals and skills. Entry-level jobs may call for this type of introduction.
Your skills section should consist of hard skills (technical skills) and soft skills (intangible and interpersonal skills). Hiring managers only look for relevant analytical skills and strong, soft skills that improve your work ethic. That’s why it’s important to include skills that will catch their attention. Here are a few hard and soft skills that employers want to see in your resume:
Hard or Technical Skills For a Data Analyst
Soft Skills for a Data Analyst
Certifications can help boost your resume, so show the ones that improved your technical skills. These include building data sets, SQL, Python, and machine learning model skills. Some great examples include CompTIA Data+ and CCA Data Analyst. SAS Certified Data Scientist is also a good choice.
Yes. Many believe that a cover letter is unnecessary with a great data analyst resume. In truth, 45% of employers don’t consider applicants who don’t add cover letters. Tailor your cover letter to match the job description and make it specific to the company you’re applying to. If you want to make sure your cover letter is perfect, use a cover letter builder.
Hiring managers are mainly looking for candidates with relevant technical skills, so will search for keywords like Tableau, SQL, Python, and data mining in your resume. Most of the time, these keywords are in the job description, so make sure to review the job description and include those keywords in your resume.