Best Data Analyst Resume Examples and Writing Tips (+ Free Template Download) 
A data analyst is a professional who transforms and models data and information with the goal of discovering useful business information and conclusions that can help support decision-making within a business. In this sense, a data analyst is someone who performs business analysis using data models and data transformations.
A data analyst is sometimes referred to as a business analyst, data scientist, senior data analyst, junior data analyst, operations analyst, market research analyst, business data analyst, marketing analyst, or data scientist, depending on the business and industry.
Data analyst resumes should contain prior work examples showing your ability to manage, build software against, and maintain large sets of data. As a data analyst, you may be required to not only develop software that helps consume the data for your employees or leaders. But you may be required to build software the grooms the data in accordance with the needs of the engineering team.
Being able to reference key software tools like Hadoop, AWS, NoDB, and other programming languages or "dev-ops" tools will make your resume stand out. Keep your resume focused on what makes data analysis important to you and show your ability to apply it to a business and produce value for that business.
How to Write a Data Analyst Resume
Follow these steps to write an effective data analyst resume.
Step 1: Prepare the Resume Information
Gather the appropriate information to fill the resume with. This includes prior work experiences that are relevant to the data analyst position, achievements at each one of the prior work positions, hard skills (like programming languages or database proficiencies) and soft skills, significant career accomplishments, education history, certifications, and the job description of the position.
Step 2: Find the Right Layout
A data analyst resume should be in reverse chronological format, also known as a hybrid or combination resume layout. This style of layout should include a resume objective (or career summary), prior work experience, education history, soft skills, and hard skills sections.
Step 3: Write the Work Experience
Before writing a career objective or career summary, write all prior work experience. Include 3-4 bullet points that summarize significant achievements for the business beneath each job experience. If unable to describe accomplishments for the business, describe projects completed or goals obtained.
If no experience is available for the resume, consider listing an internship or other job experience that shows programming proficiencies (like a side project or freelance work).
Use data analyst resume keywords and action verbs described in this writing guide to make a more impactful and descriptive resume for the hiring manager.
Step 4: Write the Resume Objective
It’s much easier to write a resume objective after the work experience section has been completed. Pull significant accomplishments from this section to write an impactful statement at the top of the resume.
To learn how to write a resume objective, continue reading this guide.
Step 5: Include Education, Certifications, and Skills
Education, certifications, and skills are lesser than important sections on the resume. Education experience might include a graphic design bachelor’s degree. Certifications are especially impactful for a data analyst resume. List hard skills, like C++, Pearl, MongoDB, and other proficiencies.
Step 6: Replace Contact Information
When using a template, don’t forget to replace the contact information on the resume. For a data analyst resume, a link to a professional website where programming work or data visualization work is displayed can be really important to the hiring manager. Additionally, linking to a completed LinkedIn profile can be helpful as well.
Step 7: Compare to a Resume Sample
After completing, compare the resume to a data analyst resume sample provided in this guide. Ensure all sections have been correctly input into the resume layout and that key skills, competencies, and prior work experience are being described effectively.
Soft Skills and Hard Skills for Data Analyst Resumes
Soft skills are talents that are intangible. They are often described as personal characteristics. But in the setting of the workplace, these characteristics are developed through prior work knowledge. For example, having customer service skills.
Soft skills that data analysts should focus on are those that show your comprehension skills, your analytical skills, and the ability to process business insights. Soft skills should speak to the ways that you use your communication skills to better understand the needs of the business. Then you translate those into hard skills, like writing computer code.
Soft skills that all Data Analysts should have are:
- Communication skills
- Presentation skills
- Written skills
- Coordination skills
- Research skills
- Quantitative skills
- Qualitative skills
- Time-management skills
- Direction following skills
Northeastern University claims these skills are essential for data analysts:
- SQL. SQL, or Structured Query Language, is the ubiquitous industry-standard database language and is possibly the most important skill for data analysts to know
- Microsoft Excel and Microsoft Office Suite
- Critical thinking
- R or Python–statistical programming
- Data visualization
- Presentation skills
- Machine Learning
The following hard skills and programming languages are required of a data analyst:
In addition, these database hard skills can be a requirement of the role:
While a soft skill may not directly help your ability to get employed, listing technical skills certainly can help in the data analyst role. Those key skills are a requirement for the position. Be sure to consider the number of skills being listed on the resume.
A McKinsey GBI study claims, "There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions." Which presents an opportunity for job seekers entering into the data analyst position. Display skills that show the ability to work with "big data." This includes programming languages like R.
Data Analyst Resume Objective
Starting your resume with a resume objective or resume summary is one of the best ways to encapsulate your previous work history in a short statement. This allows your future employer and the resume reader to more quickly scan your resume and comprehend your work history in a short amount of time.
A resume objective and resume summary for a data analyst should contain references to both personal and work achievements, references to pieces of software that you may have produced as part of your personal and professional career.
Here is an example of a data analyst resume objective that you can place beneath your contact information but before your previous work experience section.
3+ years working as a data scientist and/or data analyst. Proficient in SharePoint, SQL, SQLite, MySQL, Postgres, R, Mongo, MongoDB, and much more. Able to chart and course information paths.
Data Analyst Job Description Sample for the Resume
An experienced data analyst who can help to perform predictive analysis against the business. Heavily involved in the data analyst day-to-day to utilize machine learning, data mining, cognitive computing, data sets, statistical analysis, data analytics, and other business data to gather and determine business intelligence and actionable insights. As a data analyst, able to practice computer science and big data analytics to create predictive models and predictive analytics for our business teams.
Data Analyst Duties and Responsibilities for the Resume
When listing previous work experiences, you might not be able to recall all of the duties that you performed while on the job. This may happen when your previous work experience as a data analyst was a few months ago or a few years ago.
Here are the general duties and responsibilities that you can list as part of the bullet points under each of your previous work experiences as a data analyst.
- Monitor daily data and analysis requests.
- Assist in the development and documentation of data management processes and our standards.
- Be a facilitator to data to all functional areas of the business.
- Execute SQL, MySQL, Postgres, Mongo queries in order to uncover data.
- Work with management to identify projects that data analysis can help guide.
- Work alongside software engineering teams and product teams.
- Ensure detail quality is monitored and groomed regularly.
- Oversee data analytics platforms.
- Oversee's the data warehouse.
- Uses pivot tables and data mining to answer business questions.
- Works closely with other analysts like the quality assurance group and business analyst group.
- Understand business requirements of the data.
- Control the data analysis pipeline and work closely with a financial analyst, business analyst, operations research analyst, and other analyst roles.
- Cleanse and ensure data quality and data integrity while modeling new data sets.
- Practice data science by ingesting market data, internal revenue data, customer information, and more.
- Work closely with our internal statistician to create complex data models.
- Develop relational databases that help organize our large data sets.
- Be the stakeholder for determining business insight and more.
- Ingest large sets of healthcare data and set models for making business decisions.
While it's best to review the job description and job postings for requirements. And speak to those requirements through the cover letter and resume, sample job requirements can be assistive with writing a resume. Below are sample job requirements for the data analyst position.
- Bachelor’s Degree in Computer Science.
- Experience in a related field.
- Experience in a previous data analyst role or business analyst role preferred.
- Ability to utilize Microsoft Office, such as Microsoft Excel.
- Keen communication skills, analytical ability, and interpersonal skills.
Data Analyst Resume Format
Below is a resume format to follow when writing a data analyst resume. The correct type of layout to use for a data analyst position is a hybrid resume or combination resume layout. A data analyst CV shouldn't be used, even for those with no prior work experience. CV's are best for academic positions that describe a full-history of academic achievements and merits.
Be sure to include relevant programming skills and certifications as part of the data analyst resume.
- Contact Information: The job applicant’s phone number, email address, LinkedIn profile, and other pertinent information.
- Resume Objective: Often referred to as a resume summary, resume objective, career objective, or other. This summarizes a professional's career achievements in less than 200 words.
- Work Experience: A majority of the document will contain relevant professional history (relevant experience) for the potential employer. Includes previous job titles, years employed, and achievements.
- Education: Displays high school, bachelor, and graduate school degrees or information. Includes years in attendance, Latin honors, and other pertinent information.
- (Optional) Certifications: AWS (Amazon Web Services) Data Engineer Certification, EMC Proven Professional Data Scientist Associate (EMCDSA), Cloudera Certification, and more.
Data Analyst Certifications and Licenses
Top data analyst candidates have one or more of the following certifications:
- Associate Certified Analytics Professional (aCAP)
- Certification of Professional Achievement in Data Sciences
- Certified Analytics Professional
- Cloudera Certified Associate (CCA) Data Analyst
- EMC Proven Professional Data Scientist Associate (EMCDSA)
- IBM Data Science Professional Certificate
- Microsoft Certified Azure Data Scientist Associate
- Microsoft Certified Data Analyst Associate
- Open Certified Data Scientist
- SAS Certified Advanced Analytics Professional Using SAS 9
- SAS Certified Big Data Professional Using SAS 9
Data Analyst Resume Keywords and Action Verbs
Resume keywords and action verbs can assist in describing previous work experiences. They can make the resume more readable and ensure that words are not being repeated, losing their impact. When describing achievements or listing bullet points of each prior work experience, consider using some of the following action verbs and keywords:
Data Analyst Resume Sample (Text Version)
Below is a sample resume for a data analyst position. In this example, this would be for a worker who has more experience to their name. A hiring manager will prefer to see accomplishments more than descriptions of previous work. But if you don't have any previous accomplishments, your hiring manager will want to know that you comprehend the position and its requirements.
Data Analyst Resume Example (PDF)
Data Analyst Cover Letter
When writing a cover letter, it's important to consider what will be said or what was said in the cover letter. For example, if a career experience or career accomplishment was listed on the cover letter through storytelling, it's important that the job is listed on the resume.
Align the skills, qualities, traits, requirements, and core competencies that are being displayed in the cover letter with the resume.
Data Analyst Cover Letter Sample
Below is a cover letter example for a data analyst.
Data Analyst Resume Tips
Tips for job seekers when applying for jobs or writing resumes.
Never use the same resume twice
A resume should always be customized to the job and to the company. One job might require a specific set of hard skills or programming skills. At the same time, another requires a different set. It's best to customize the resume each time a job application is sent. Using the same resume for multiple job applications is considered poor practice. And can lead the job seeker to frustration when they aren't being invited to perform job interviews.
Focus on certifications and programming skills
In technical positions, knowledge is everything. Focus on highlighting skills, technical skills, competencies, and certifications over education. Prior work experience will be vital for a data analyst position. Use accomplishments as a way to display experience. For example, in this role, it's vital that the data analyst is able to support business decision making. Display what decisions the candidate was able to help with and what the end result was.
Use a hybrid or combination resume layout
A CV layout is not correct for this type of position. Even if entering into a data analyst position within a university or institution. It's best to use a combination or hybrid resume layout that includes relevant work experience along with the ability to mention hard skills and technical skills. A resume objective or career objective will be important for those who have limited "on-the-job" experience as well.
Data Analyst Resume FAQ's
Job seeker questions.
Should I use a resume builder?
If you have never had any prior work experience, a resume builder can help. Pick a format that's clean, doesn't use many colors, and stays focused on listing your experience or accomplishments and professional experience. It can be helpful to see a resume example using a builder to get you into the process of writing your own.
What resume keywords should I use for a data analyst job?
Try not to overuse keywords. But if you're going to focus on keywords in your resume, pick technical skills. That would be software and tools that help you stand out as a candidate. These data analyst skills are specific to the role and job function.
Is the resume summary the same as a career objective?
Yes. Our sample is the same. Though, if you have prior work experience, try writing accomplishments versus a summary statement. An analyst resume should always describe what you've been able to achieve for the business. It shows you have the skill as an analyst to be able to comprehend business objectives and translate them into insights.
Is this a good data scientist resume example?
The resume sample provided is great for a data scientist as well, yes. Though, you should change the technical skills and programming languages that you comprehend.
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Best Data Analyst Cover Letter Examples (+ Free Template Download)
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