INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, Data Quality Analyst positions are at a much faster than average growth rate, which is 22%. With that said, there are currently 1,847,900 jobs in the market right now. The total number of jobs is expected to increase by 409,500 to 2,257,400 in the period of 2020-30.
What’s more, the median annual wage for the Data Quality Analyst jobs was $110,140 in May 2020. The lowest 10% earned less than $65,210, and the highest 10% more than $170,100.
Our conclusion? The Data Quality Analyst job market is facing competition due to decreasing demand.
Top data quality analyst sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
How to write the perfect data quality analyst resume experience section
Data quality analyst experience section: checklist
- List your positions in chronological or reverse-chronological order;
- Go for 4-6 bullet points;
- Add only relevant work experience;
- Include information about the challenges you’ve faced, the actions you’ve taken, and the results you’ve achieved;
- Use action verbs instead of filler words.
We’ve selected some of the top Data Quality Analyst resumes made using the Enhancv platform to illustrate what a great experience section looks like. Use them as inspiration when building your own resume:
- Team handling, maintaining complete activity reports of the team.
- Database management, data quality and integrity; maintained a 99% data accuracy standard
- Conducted and delivered over 100 reports about data performance quality in shares and stocks.
- Decreased introduction of bugs and red alerts by 75% after updating data collection and quality assurance processes
- Database management, data quality and integrity; maintained a 99% data accuracy standard
- Conducted data validations and reduced error reports.
- Working with large and complex data sets.
- Analysing, auditing and classifying data from AI-based databases and content managing systems.
- Researching and evaluating the companies and the market to get insight into important trends and information.
- Ensuring that the products and services that are provided comply with both external and internal requirements and standards, including any relevant legal compliance and customer expectations.
- Identifying, assessing, monitoring, documenting, and communicating potential quality issues in the way data is collected, stored, processed, or used.
- Working for companies like Rolls Royce, Carnival, Bimbo, University of Bristol, etc.
- Developed and implemented data quality rules that increased accuracy by 20%
- Reduced data quality issues by 30% through root cause analysis and process improvement
- Created and maintained data quality dashboards using Tableau, resulting in improved visibility and faster issue resolution
- Collaborated with IT and business teams to develop a data governance framework that improved data consistency and reduced risk
- Conducted training sessions for analysts and business users on data quality best practices and tools
- Implemented data validation and cleansing processes that reduced data errors by 25%
- Created and maintained a data dictionary that improved data understanding and reduced analysis time by 20%
- Collaborated with cross-functional teams to identify and prioritize data quality issues and develop action plans
- Developed and maintained data quality dashboards using Looker, resulting in improved visibility and faster issue resolution
- Automated data quality checks and issue tracking using Python, reducing manual effort by 30%
- Designed and implemented data quality metrics and presented dashboards and KPIs regarding data quality to leadership resulting in a 20% improvement in data accuracy.
- Collaborated with Analytics stakeholders to define data quality standards resulting in a 15% reduction in data errors.
- Worked with Analytics Architects to validate data quality using industry standard techniques resulting in a 25% improvement in data accuracy.
- Created a process to remedy data quality discrepancies resulting in a 30% reduction in data errors.
- Built/configured/setup the specified tooling to accomplish data quality identification and monitoring resulting in a 35% improvement in data accuracy.
- Performed data quality testing and validation resulting in a 25% improvement in data accuracy.
- Developed and maintained automated scripts for data testing and validation resulting in a 30% reduction in testing time.
- Designed and executed test cases to ensure compliance with data quality standards resulting in a 20% improvement in data accuracy.
- Collaborated with internal teams to develop and execute data quality plans resulting in a 15% reduction in data errors.
PRO TIP
Show off real numbers that display your accomplishments in past roles. Instead of listing out your responsibilities as Data Quality Analyst, talk about the measurable impact you made to their business. Did you boost their revenue? Increase customer retention? Mention your proudest points on your resume.
Action verbs for your data quality analyst resume
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Data quality analyst resume: How to write a strong skills section
The ultimate data quality analyst skills section checklist:
- Balance between all kinds of hard skills – technical, analytical, etc.
- When it comes to technical skills, match them to the job description;
- Add keywords present in the job advert to pass ATS;
- Don’t forget to list transferable skills such as communication, teamwork, work ethic, and presentation skills.
Top skills for your data quality analyst resume
Jira
HTML
Agile
CSS
Javascript
Manual Testing
Scrum
JMeter
Testrail
Attention to Details
Efficiency
Patience
Time management
Problem-solving
Ability to work on parallel streams
Written and verbal communication
Teamwork
Knowledge of quality standards
PRO TIP
Add a Talent Section to your resume, where you can pick your top 3 soft skills and describe how you used them to complete a project or balance departmental communication.
Recommended reads.":
Data quality analyst resume header: tips, red flags, and best practices
Checklist for your data quality analyst resume header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
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PRO TIP
Include a link to your portfolio in your Data Quality Analyst resume header. Most companies will require that you include one in your resume, and even if they don’t, it’s an excellent opportunity to directly show them your proudest projects.
Data quality analyst resume summary: things to include and things to avoid
Job-winning data quality analyst resume summary checklist:
- Mention your total years of experience in the field;
- Highlight one or two of your top achievements;
- Avoid getting into too much detail – you’ll do that in the experience section;
- Focus on short sentences that are easy to read and add value to your application.
Resume summary formula:
PRO TIP
Your summary section should act as a professional taster. Use it wisely. Effectively convey your professional profile and let the hiring manager know that if they hire you, they won’t be disappointed. Make sure to include keywords from the job description too! Elaborate on your abilities further in your experience section. Again, cater to the job description.
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Highlighting education, courses, and certifications in your data quality analyst resume
Education section checklist:
- What? Where? What’s the result? Answer these questions when mentioning education and courses on your resume;
- Give preference to courses and degrees that are relevant to the job position;
- Be honest! Some recruiters love checking with colleges and universities to see if you’ve really been enrolled in them;
- Share more about certifications that have helped you turn into a professional, and mention the bodies that have issued them.
Top Certifications for Your Data Quality Analyst Resume
Informatica Data Quality Analyst - Beginner's Guide
Informatica Data Quality (IDQ) Analyst Course
The Data Analyst Course: Complete Data Analyst Bootcamp 2022
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
Practical SQL Bootcamp for Data Analysts and Data Scientists
Master One of the Most In-Demand Skills for Data Analysts in 2020!
The Data Science Course 2022: Complete Data Science Bootcamp
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
Complete Introduction to Business Data Analysis
Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence
Recommended reads:
PRO TIP
If you hold a certain major and a minor, your majors should be mentioned first.
Data quality analyst resume format 101
If a couple of years ago Data Quality Analyst resumes could be text files with no graphic elements, today’s recruiters need a bit more to remember you.
And yet, you can still choose between three basic resume formats:
- Reverse-chronological resume format;
- Functional skills-based resume format;
- Combination (or Hybrid) resume format.
But when it comes to choosing the right format for your Data Quality Analyst resume, there are two factors to keep in mind: your experience and whether you’re looking for an industry change.
The reverse-chronological format is the most common one. That being said, it gives recruiters exactly what they’re used to in terms of order and information. However, it’s not suitable for applicants with employment gaps or not enough experience.
We at Enhancv suggest the functional skills-based resume format for people with limited work experience who find reverse-chronological resumes irrelevant. This format showcases the applicant’s most significant accomplishments, skills, and strengths.
Don’t miss our resume format checklist:
- Go for a traditional easy-to-read resume font sized 10-12p;
- Don’t risk it: choose standard 1-inch resume margins;
- Make sure your Data Quality Analyst resume fits in one to two pages;
- Save your resume in PDF to avoid having it edited by someone else.
Looking for more tips? Check out our job-winning guide for crafting a resume that gets you remembered!
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PRO TIP
Test your draft Data Quality Analyst resume by sending it out to peers and mentors in your circles. Ask them to review it as if they are hiring you for a project and implement the feedback afterwards.
Other sections for your Data Quality Analyst resume
If the position you’re applying for allows for that, you can include some non-traditional sections in your resume. This will add a bit more depth to your application and will also give the hiring manager a better idea of who you are as a person.
Some ideas include:
A data quality analyst resume recruiters would love
You’ve drafted an amazing Data Quality Analyst resume, but are still not sure whether it will make a strong first impression? After all, recruiters go over tens of resumes each day, right?
Right! And the recipe for getting their attention includes a dash of creativity.
What’s more, a creative resume is perfect for adding your personality to the mix. For example, you could mention your favorite books, quotes, movies, or even what your day usually looks like.
Regardless of what you choose, make sure your levels of creativity match the industry, the company, and the position. Otherwise, your resume might look silly and inapt.
What makes a great data quality analyst resume: key takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
