How to Write Data Quality Analyst Resume (With Example)

Updated June 9, 2023

Data analysts research methods and evaluate data to discover trends and forecast results. They use this data to develop solutions or make suggestions depending on the findings of their investigations. If you love working with data and are actively looking for a job, creating a compelling resume can help you impress the hiring manager.

In this article, discuss what a data quality analyst resume is, list the steps to write a resume for this role, review some resume writing tips, and share a resume template and an example.

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What is a data quality analyst resume?

A data quality analyst resume is a document a job candidate sends to the prospective employer providing a summary of their education, work experience, skills, and achievements. A resume requires being as concise as possible. When writing a resume for this position, you require showing how your skills fit the employer's needs. If you've previous data analyst work experience and key accomplishments, include it on your resume to convince the hiring manager of your competence.

Related: How to Become a Big Data Analyst (With Salary Expectations)

How to write a resume for a data quality analyst position

Here are steps you can follow to create a resume for a data quality analyst role:

1. Write your resume header

Start your resume by writing a resume header. A proper header contains your first and last name and your contact information. You can also include your city and province or territory and a link to your professional portfolio. Type the header in a slightly larger font to differentiate this section from the rest of the text.

2. Write a professional summary

In this section, write your professional summary, a statement highlighting your top skills and proudest professional achievements. A professional summary is a compelling statement that can impress the hiring manager and make them read your document. It's important to keep it brief, ideally a maximum of three lines. You can use the key phrases from the job posting, as this is likely to encourage the hiring manager to consider you as a potential employee.

3. Indicate your work experience with numbers and results

Write about your previous work experience in this section. It's advisable to write three to five job titles that are most relevant to the job. Use bullet points to enhance the readability of your resume. Use figures and accomplishments to show a measurable impact on your previous roles and to emphasize your suitability for the current role. Also, use action verbs to show impact and to make your experience section compelling. Examples of action verbs include:

  • conduct

  • head

  • lead

  • attain

  • effect

  • decrease

  • increase

  • mobilize

  • innovate

  • achieve

4. Create a skills section

Data quality analysts require a combination of technical and soft skills to excel in their careers. Technical skills help these professionals perform their core responsibilities, while soft skills enable them to relate well with others in and out of the workplace. Ensure your resume contains a mix of these skills. It's also essential to match your resume skills with the keywords the employer uses in the job description. Data quality analysts require strong analytical abilities to enable them to simplify complex data into usable business information. They also have an excellent ability to work with numbers.

Here are some skills you can include in your resume section:

  • Technical expertise: Data quality analysts require a good understanding of statistics, research methods, data models, and programming.

  • Computer skills: These professionals require exceptional knowledge of different computer programs to analyze data and produce reports. They also require a good understanding of emerging technologies that can help them perform more efficiently.

  • Analytical abilities: Data analysts require exceptional analytical skills to enable them to evaluate data, discern trends, and generate actionable information.

  • Interpersonal skills: Data quality analysts work with other professionals from different departments. Strong interpersonal skills and teamwork enable them to work effectively with others to achieve organizational goals.

  • Problem-solving skills: These professionals require good problem-solving skills to enable them to troubleshoot problems and identify ways of improving systems.

Related: 10 Skills Business Analysts Need for Workplace Success

5. Outline your educational background

Indicate your education qualification in this section. It's advisable to indicate the highest qualification if you have several. Also, indicate the name of the institution and the graduation year. If you have no work experience, you can indicate the courses to guide the reviewer in assessing your suitability for the job.

6. Include certifications

There are various certifications that data quality analysts may undertake to enhance their knowledge. If you have a certification course, create a section on your resume for it. Write the name of the certification, certifying body, and the validity period. Certifications indicate that you're current with the professional latest developments and show your commitment to the profession.

Related: How to Write a Data Analyst Cover Letter (With Tips)

Resume writing tips for data quality analysts

Apply the following tips to help you create a resume for a data quality analyst job:


It's important to reread your resume to ensure that it appears professional and error-free. Spell-checking, punctuation, and grammar checks are essential. It's also a good idea to have someone else proofread your resume because they might detect errors that you overlooked. Be watchful of language that the reader may misunderstand.

Create scannable sections

There are several steps you can take to improve the readability of your resume. Use a common font style and size for your text, and limit your bullet points to under two lines. Additionally, leave some white spaces to create a better visual appeal. A visually appealing resume makes it easy for the recruiter to identify your strengths.

Identify and include relevant keywords

Because of the large number of applications received throughout the recruitment process, some companies employ programs called applicant tracking systems (ATS) to screen applications. If a resume doesn't contain enough of the needed keywords, it's possible for the system to overlook it. Make sure you use the keywords that these companies are looking for to pass the screening process.

Related: What Are Resume Keywords and Why Are They Important?

Choose the best resume format

There are different format types you can use for your resume, such as the reverse chronological format, the functional format, and the hybrid format. If you have some years of work experience, you can use the reverse chronological format, which emphasizes your experience and skills. The functional format is ideal for candidates with no work experience. A hybrid resume format is appropriate for both experienced and entry-level applicants because it entails a double-column format, with one column focusing on experience while the other on skills and achievements.

Resume template for data quality analysts

Use this template to guide you craft your resume:

[First name] [Last name], [Degree or certification, if applicable]

[Phone number] | [E-mail address] | [City], [Province or territory]

Professional summary

[Two to three sentences that highlight years of experience, relevant skills, education or certifications and achievements as a professional.]


(For the most recent role, list 5 experience items. For previous roles, list 3.)

[Job title] | [Employment dates]

[Company Name] | [City], [Province or territory]

  • (Strong verb) + what you did (more detail) + reason, outcome, or quantified results.

  • [Job duty]

  • [Job duty]

  • [Job duty]

  • [Job duty]

[Job Title] | [Employment dates]

[Company Name] | [City], [Province or territory]

  • (Strong verb) + what you did (more detail) + reason, outcome, or quantified results.

  • [Job duty]

  • [Job duty]


Option 1
[Skill] | [Skill] | [Skill] | [Skill] | [Skill] | [Skill]

Option 2
[Category]: [Skill] | [Skill] | [Skill] | [Skill] | [Skill] | [Skill]
[Category]: [Skill] | [Skill] | [Skill] | [Skill] | [Skill] | [Skill]


Option 1
[Degree and major], [Name of school or university]

Option 2
[Degree and major] | [Name of school or university]

[City], [Province or territory]


[Certification name], [Host organization] - [Year completed or expiration date]

Related: 29 Leadership Words for Your Resume (With Definitions)

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Resume example for data quality analyst

Here is an example of a resume for a data quality analyst resume:

Stephen Melon
123-456-7890 | | Toronto, Ontario

Professional Summary
Results-driven data quality analyst with over five years of experience deploying network infrastructure. Committed technology professional with a proven track record of performing system repairs. Looking to leverage my experience to help your company navigate DNS implementation.

Professional Experience
Senior Big Data Analyst | Jan 2017–current
Just-in-Time Technologies | Toronto, Ontario

  • Perform security evaluations and suggested recommendations for quick disaster recovery

  • Administer remote access to ensure smooth collaboration of remote-working teams

  • Manage network capacity, data backup, and escalation processes

  • Perform data quality tests on datasets to establish their integrity and usability

  • Perform statistical tests on large datasets to determine data quality and integrity

Data analyst | March 2014–Jan 2017
Mason and Cowan | Edmonton, Alberta

  • Evaluated system performance and design, and its effect on data quality

  • Collaborated with database developers to improve data storage processes

  • Collected data from primary or secondary data sources

Analytical skill | Math skills | Coding skills


Bachelor of Science, Computer Science | Tech BC University

Vancouver, British Columbia

Data Analytics Certification, Vancouver Data Organization, 2019

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