Data analysts are increasingly becoming one of the most sought after technology roles. Companies are storing terabytes and petabytes of data and need to find ways to effectively use this data to drive business decisions. To do this, they not only need to clean, process and analyze their data, but also need to turn that data into meaningful insights.
This is where data analysts come in - i.e. you! In 2023, pretty much every company needs to have a data strategy and, as a result, need to hire data analysts to help with data needs.
The first step to getting a data analyst job is a resume. And writing a data analyst resume can be tough if you haven't done it before.
In this guide, we've compiled six data analyst resume templates that hiring managers and recruiters have said are among the best data analyst resumes they've seen this year. We've chosen examples of resumes from different stages of the data analyst career path, from entry level to senior level data analysts, so there's a relevant example for you. We've also included links to the PDFs and Google Doc formats, along with specific insight from data-focused recruiters that you can use when writing your own data analyst resume.
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A data analyst can work in multiple settings by helping companies solve problems through data and statistics. For example, they can work on the marketing team to identify their target audience's shopping habits or trace a disease pattern in a particular area. That’s why they will collect, filter, process, and interpret data.
There are many ways to become a data analyst apart from traditional education. You can join an online course, bootcamp, or a certificate program. However, regardless of your educational background, you should emphasize you have advanced training and experience. That’s why it’s a good idea to highlight your data analysis certifications on your resume.
Depending on your industry and employer, you might get to use a particular programming language to automate data processing. Coding languages like R or Python help data analysts process large sets of data and automate tasks. It is essential to indicate the programming languages you are familiar with on your resume.
Even though this is a highly technical occupation, you still need to communicate your results to non-technical stakeholders or team members. That’s why data visualization skills are so important in this role. They help you represent your insights in a more digestible way by using graphics, charts, and even storytelling.
This is an effective template you can use if you are applying for all data analyst roles in 2023, and showcases relevant data analyst skill sets in all parts of the resume, including the work experience, skills and projects sections. This resume is ATS-compatible and can be used when applying through online portals.
Here's a few more reasons why this data analyst resume template works well:
Notice how this resume's bullet points makes use of specific numbers while describing accomplishments, e.g. "led to a 25% sales lift". This tells data analyst recruiters that this applicant can make a concrete impact on an organization.
The two-column in this data analyst resume template prioritizes the work experience sections, while making good use of whitespace. The resume does not look overcrowded and uses reasonable margins.
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.
A senior data analyst helps organizations make better business decisions through the use of data and statistical knowledge. They will gather the company’s intelligence and process it to discover actionable insights that help solve a business problem. Hence, senior data analysts will perform data modeling, deep analysis, and forecasting.
As a senior data analyst, you might have to supervise less experienced colleagues. Therefore, it is important to mention your ability to monitor team members in your resume. Remember that it’s also important to emphasize your experience in the field.
What would you do to showcase your discoveries to your stakeholders? Use metrics and data visualization to represent them. This is the same thing you’ll do with your resume. You should demonstrate your accomplishments with metrics to add tangible value to your resume.
Machine learning is an excellent tool that helps you optimize data analytics and data processing. By including this skill in your resume, you are letting your potential employer know that you are up-to-date with the latest industry trends.
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.
Analytics managers are also responsible for managing and monitoring data warehousing. It is the process of collecting data from various sources to discover actionable insights. Some employers might need an analytic manager with warehousing skills. Hence, this is something you might want to mention on your resume.
Analytics managers also coordinate data governance, which is the process of maintaining the integrity and security of corporate data. This is another skill you may want to consider including in your resume. Due to the constant data threats, it has become an in-demand skill in the industry.
Numerous soft skills are essential for an analytics manager's occupation, such as communication, time management, and logical thinking. However, you should prioritize technical competencies, especially in the skills section. This is a highly technical role, so your potential employer might want to know if you are proficient in hard skills like data warehousing, Python, SQL, or data visualization.
Data analytics is a field that requires you to become a lifelong learner, and your potential employer might be looking for that. That’s why you need to demonstrate that you are up-to-date with the latest industry trends. Some of the most recent trends include artificial intelligence and cloud computing.
Analytics managers are senior-level data analysts that are more focused on managerial responsibilities than on data analyst projects. That said, they need to have a strong understanding of data analysis skill sets, so it's important to include relevant skill sets on your resume.
For senior data analyst roles, it's important to show recruiters that you have been promoted in the past since this shows leadership. Read this step-by-step guide on how to show a promotion on your resume.
Notice how this analytics manager uses a format on their resume to highlight only impressive accomplishments relevant to the data analyst role they are applying to. Notice how the resume includes a 'Selected Project Experience' which highlights specific analytical projects.
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. =
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.
An experienced data analyst collects, stores, and deduces information from large quantities of data. This requires experience with industry-standard data analysis tools, as well as a very analytical and thorough approach to your work.
As this position is not an entry-level position, recruiters will be looking to see your previous experience as an analyst as well as an educational history in mathematics, statistics, business, or a similar field. Take a look at this well-structured experienced data analyst resume.
There are many transferable skills for analysts in different sectors. So if you have been an analyst outside of data analysis, be sure to include it in your resume. This applicant has included their experience as a financial analyst and business analyst, which are closely related to data analysis.
If you do not have a bachelor’s degree in mathematics, business, statistics, or a similar field, we suggest you pursue professional certification or take online courses. It will indicate to recruiters your level of commitment to your profession and your level of knowledge.
A junior data analyst collects and interprets data to help their superiors in their decision-making for the company. As a junior data analyst, you will most likely be working in a team and will be assisting a senior data analyst and/or be answerable to the department head.
This position requires collaborative skills as well as strong analytical skills. Recruiters would prefer to see an educational history in mathematics, statistics, or a related field, and a current industry-standard tools list. Take a look at this strong junior data analyst resume.
As a junior data analyst, you will most likely be working as part of a team. So show off any experience where you worked in a team to achieve something impressive. This applicant ‘assisted with developing 7 new mobile apps used by 200k customers’.
As a junior data analyst, you will most probably be assigned to do the more grueling data analysis work. Prove to recruiters that you are experienced and capable of doing that by ensuring that your tools list is extensive and current. So if there is a new data analysis tool, ensure you learn how to use it quickly and add it to your tools section.
Healthcare data analysts use data to make beneficial decisions in patient care, medicine, and healthcare center operations. Some of the data you may be looking at includes pharmaceutical data, behavioral data, clinical data, etc.
Recruiters will expect you to see a background in the healthcare industry in the experience section of your resume. A bachelor’s degree in a healthcare-related field or a data analysis related field will also be expected. Take a look at this successful resume that shows both.
Industry knowledge is particularly important for this position. So be sure to list what sector of healthcare you are particularly knowledgeable about. This applicant has listed health insurance and HIPAA as some of their areas of expertise.
Because you will not find a bachelor’s degree called healthcare data analysis, a good way to show that you are particularly knowledgeable and experienced in this particular field/position is to get certification in healthcare data analysis or something very close to that. This applicant has 3 strong related certifications for this position.
A business data analyst collates and interrogates data to help with decision-making aimed at optimizing profit and efficiency in a company. This position requires technical skills and also conceptual skills. You will also need to be a good collaborator as you may be working cross-departmentally.
A bachelor’s degree in business administration, mathematics, statistics, or a related field would be highly appreciated by recruiters. Extensive experience as an analyst and an up-to-date skills and tools list would also be beneficial.
An easy way to impress recruiters is to quantify your successes. It makes it easier for them to understand your brilliance and helps to set you apart from your competition. This applicant has employed this tactic with much success.
As the name suggests, a Power BI data analyst uses Microsoft’s Power BI, to collect and synthesize data to gain information and assist in decision-making in a company. This position requires a Power BI expert, and experience with similar software would be a plus to recruiters as well.
As with any other analyst, a recruiter would like to see a bachelor’s degree in mathematics, statistics, or a similar field. But keep in mind that your experience using Power BI is what recruiters will be looking at most. So if you have any Power BI certification, make sure to highlight that.
Because this is such a specialized position, if you have a wealth of experience in the data analysis field, limit your experience section to Power BI related experience. That is what recruiters will want to concentrate on.
A data analyst intern is an entry-level position. You will be working under a superior and will most likely be assigned simple or more mundane tasks as you prove your capabilities. You may not have a lot of experience to list down, so it is important to build out your skills, education, and extra-curricular sections. Take a look at this well-structured resume.
You may not be able to impress recruiters with an extensive work experience section, but where you can impress recruiters and put yourself above your competition is by getting relevant certifications as you prepare to begin your data analyst career. This applicant has 3 impressive certifications.
You may not have data analysis experience, but you may have other analytical, data-related experience. Even if it is in another field, feel free to include that experience. The skills used are transferable and therefore relevant.
Here is the process for writing a resume for a Data Analyst role. The steps outlined will guide you to design a resume that shows you have what it takes to clean, process, and analyze business data.
Your resume header should include your name, your email address as well as your location. For a specialized role like this, it is advisable to include the job title, Data Analyst, alongside links to your online professional profiles such as GitHub, LinkedIn, and your website.
Adding a skills section will allow you to include keywords that a resume scanner (ATS) is likely to be searching for. Here, you can include relevant hard skills such as 'SQL', 'Python', 'Data Analysis', 'Tableau', and 'Extract, Transform, Load (ETL)'. Organize these skills by proficiency level, and do not list more than 7 items.
When writing your data analyst resume, you need to make sure you include hard skills in your resume that show recruiters you have the right experience. This not only ensures recruiters put your resume in their 'yes' pile, but this is also ensures your resume will make it past the initial resume screening stage (i.e. the applicant tracking system).
To help you get started, here are keywords and hard skills from data analyst jobs we've analyzed. To find keywords relevant to the job you're applying to, use Targeted Resume. You should always ensure you tailor your resume to the data analyst job posting you apply to. This will maximize your chances getting an interview.
This word cloud highlights the important keywords that appear on Data Analyst job descriptions and resumes. The bigger the word, the more frequently it appears on job postings, and the more 'important' it is.
When writing your data analyst resume, keep in mind the following.
Try to always use this framework when writing your bullet points for your data analyst resume. Recruiters are always looking for quantifiable evidence of your impact, and using this framework will ensure you have. Here's what it looks like:
And here's another example:
Your data analyst resume should contain strong action verbs which effectively describe your accomplishments. Here is a list of action verbs that are popular among strong data analyst resumes.
Try not to repeat the same action verb more than twice on your resume. This ensures your accomplishments are unique and stand out.
For a full list of effective resume action verbs, visit Resume Action Verbs.
If you're a senior-level employee, or you're changing careers to become a Data Analyst, it's useful to add a paragraph at the top of your resume highlighting your most impressive accomplishments. This is called a resume summary.
Here's an example of a summary that can be used on a Data Analyst resume.
A resume summary is a totally optional section, and in most cases, it's better to leave it out of your resume than include it. For example, if you're a student or mid-level hire, you should not include a summary, and instead use the space to add to your work experience.
To learn how to write an effective resume summary for your Data Analyst resume, or figure out if you need one, please read Resume Summary Examples for Job Seekers: When To Include One.
You should use bullet points to describe your achievements in your Data Analyst resume. Here are sample bullet points to help you get started:
Liaised with marketing to drive email and social media advertising efforts, using predictive modeling and clustering, resulting in a 35% increase in revenue
Built Tableau dashboard to visualize core business KPIs (e.g. Monthly Recurring Revenue), saving 10 hours per week of manual reporting work
Analyzed global opportunities for the company's different membership tiers; designed and introduced a new membership tier which is projected to generate 300k new users in its first year
Created Monte Carlo simulation using Pandas (Python) to generate 30,000 sample portfolios with 8+ constraints
Designed the data pipeline architecture for a new product that quickly scaled from 0 to 100,000 daily active users.
For more sample bullet points and details on how to write effective bullet points, see our articles on resume bullet points, how to quantify your resume and resume accomplishments.
Analyzed data from 20000 consumers to develop a multi-tiered pricing model that increased profit margins by 24%.
