Here are the keywords and skills that appear most frequently on recent Data Analyst job postings. In other words, these are the most sought after skills by recruiters and hiring managers. So try to include them on your resume where possible.
Remember that every job is different. Instead of including all these keywords on your resume, identify the keywords most relevant to the job you're applying to and include those. Use the free Targeted Resume tool to help with this.
Where on my resume do I add these buzzwords?
Add keywords directly into your resume's work experiences, education or projects. Alternatively, you can also include a Skills section where you can list your technical skills in order of your proficiency.
Only include these technical skills or keywords into your resume if you actually have experience with them.
Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.
The following word cloud highlights the most popular keywords that appear on Data Analyst job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.
Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.
If you're a recent graduate or student, use this entry-level data analyst resume template when applying to jobs. It uses extra-curricular and project sections to supplement your work experience.
If you are applying for an entry level data analyst job and don't have too much work experience, don't worry! Use data analyst projects like in this resume example to showcase skills like creating predictive models.
Resumes need to use strong action verbs, which immediately tell a recruiter your role in a specific accomplishment. Data analyst resumes should use action verbs that are relevant to data analysis, processing and visualization. Action verbs like "Analyzed", "Assessed" or "Researched" are strong action verbs that effectively showcase data analyst skill sets.
Senior data analyst resumes should have sufficient experience with handling large data sets and experience working cross-functionally. Keep the following in mind too:
Simple templates work well at getting past the automated resume screening stage, also known as the applicant tracking system. Learn how to beat the ATS.
Notice how this applicant uses technical data analyst skills in his work experience (e.g. Pentaho Kettle), as well as in a dedicated Technical Skills section at the bottom, where he describes relevant data analyst skills like Python and Excel.
Marketing data analysts are essentially data analysts that are focused on marketing and growth initiatives. The skill sets to mention on a marketing data analyst resume are generally exactly the same as other data analyst resumes, but you should also include marketing campaigns or tools in a skills section.
Resume bullet points describe achievements that are well targeted to the job, such as 'designed campaign strategies'. This is likely aligned to the exact marketing data analyst job description. =
Target your resume to the job - Marketing Data Analyst Resume"/>
This data analyst resume uses action verbs like "Identified" and "Spearheaded", which show recruiters that they're a strong data analyst hire.
Financial data analysts are just data analysts that are in the financial industry. If you're applying for a data analyst role in 2023, you should include financial data analyst skills like Python and Finance Modeling into your resume.
This job seeker uses resume bullet points that are punchy, and most importantly, contain numbers that demonstrate the significance of their accomplishment.
This data analyst resume demonstrates good examples of leadership and teamwork with bullet points like 'Managed a cross-functional team'. This tells data analyst recruiters that you have both the hard and soft skills for the job.
Senior data engineers need to do more than just use software to manage data. They need to be able to lead and guide junior data engineers as well. They need to show positive results in their work and show that they can instruct others how to do so too. For this job, your resume needs to explain what software you used, how it benefited the company, and preferably how many people you’ve managed or mentored.
Throughout nearly every bullet point, you’ll see an action verb that effectively demonstrates their skill sets. Words like “developed”, “integrated”, and “designed” are all crucial elements to this position.
A senior role means you have to be in charge of a small team. You will have to demonstrate the ability to lead and train others to succeed in a similar, yet lesser, role. This resume has examples of mentoring others and what programs were used while mentoring. It helps, even more, to say how many junior associates you’ve managed.
Big Data engineers need to have experience with various software engineering and design programs. They also need to work with other departments to effectively process big data. This resume shows experience interacting with other departments of companies to gather their data and achieve goals from it. It also shows how large the data is to emphasize the data this person had to work with.
Because you’d be working with data from many sections of a business, you’ll need to communicate how much data you’re working with. This resume tells the number of teams they’ve worked with, and the costs or processes reduced as a result.
In this template, the skills section lists much essential software relevant to the position. Throughout the experience section, it explains how these skills have been used to cut costs, achieve revenue growth, and increase profit margins. It also tells how some of the software was used to reach these metrics.
On top Data Analyst resumes, skills like Data Analysis, Tableau, Data Visualization, SQL, Data Analytics, R (Programming Language), Python (Programming Language) and Microsoft Access appear most often.
Depending on the exact role you're applying to, skills like Databases, Google Data Studio, Microsoft SQL Server, Microsoft Power BI and Google BigQuery can also be effective keywords to include on your resume.
If you are writing a Marketing Data Analyst resume, try to emphasize skills like Market Access, Tableau, Marketing Analytics, Market Risk, Google Analytics, SQL, Data Visualization and Email Marketing.
Similarly, if you are writing a Financial Data Analyst resume, emphasize skills like Financial Analysis, Financial Modeling, Finance, Financial Reporting, Microsoft SQL Server, Bloomberg Terminal, Visual Basic for Applications (VBA) and Pivot Tables.
Depending on the specific role you apply to, you may need to emphasize different skill sets. Here are a few examples:
While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.
It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.
