OPT Data Quality Analyst Jobs
Data Quality Analyst roles are a strong fit for F-1 OPT students with backgrounds in statistics, computer science, or information systems. Most positions qualify as STEM OPT extensions, giving you up to 36 months of work authorization. Employers in finance, healthcare, and tech actively hire for these roles year-round.
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Get Access To All JobsCompany Description
Collabera is ranked amongst the top 10 Information Technology (IT) staffing firms in the U.S., with more than $550 million in sales revenue and a global presence that represents approximately 12,000+ professionals across North America (U.S., Canada), Asia Pacific (India, Philippines, Singapore, Malaysia) and the United Kingdom. We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 75% of our clients rank us amongst their top three staffing suppliers.
Not only are we committed to meeting and exceeding our customer’s needs, but also are committed to our employees’ satisfaction as well. We believe our employees are the cornerstone of our success and we make every effort to ensure their satisfaction throughout their tenure with Collabera. As a result of these efforts, we have been recognized by Staffing Industry Analysts (SIA) as the “Best Staffing Firm to Work For” for five consecutive years since 2012. Collabera has over 40 offices across the globe with a presence in seven countries and provides staff augmentation, managed services and direct placement services to global 2000 corporations.
For consultants and employees, Collabera offers an enriching experience that promotes career growth and lifelong learning.
Awards and Recognitions
--Staffing Industry Analysts: Best Staffing Firm to Work For (2016, 2015, 2014, 2013, 2012)
--Staffing Industry Analysts: Largest U.S. Staffing Firms (2016, 2015, 2014, 2013)
--Staffing Industry Analysts: Largest Minority Owned IT Staffing Firm in the US.
Job Description
Generic Job Title: CW Customer Data Quality Analyst
Location: Plano, TX
Duration: 6+ Months
Pay Rate: OPEN to discuss on W2 basis
This is a business (as opposed to technical) role, A recent college grad with maybe a couple of years of experience, willingness to learn, and excellent soft skills would be the ideal fit. Above all, clients need someone who is:
- Organized
- Detail-oriented
- Conscientious
- Logical
- An effective verbal and written communicator
- Not expecting to do coding, programming, or any other hands-on technical work
- Able to create and maintain documents in Word, Excel, etc.
- One nice-to-have would be experience is creating and executing user-acceptance tests, but that can be trained for.
The Business Intelligence organization manages business (non-technical) functionality of the enterprise customer master database. Major areas of responsibility for this group include:
- Performing manual data corrections, both proactively and in responsive to problem tickets
- Identifying data-quality trends which may indicate application or system-integration defects
- Working with information-technology resources to perform root-cause analysis for incorrect data
- Tracking identified data-quality issues for resolution
- Coordinating with information-technology resources to prioritize system/integration issues for resolution
- Developing and maintaining procedural documentation around data-corrections processes
- Representing the BI organization on initiatives which impact customer data
- Developing and executing user-acceptance and regression test plans for defect fixes, enhancements, and project implementations
- Training incoming team members in these job functions
- Participating in other Business Intelligence data-quality initiatives as needed
- The training period is extensive due to the complexity of the applications and research requirements, so the first few months of work are primarily data-entry, with new responsibilities added as the resource becomes proficient in each new task.
If you are interested and wish to discuss more about this opportunity, please share an updated word copy of your resume and you may feel free to give me a call at (314) 815-5414. Thank you.
Warmly,
Aleli "Ali" Balais
Technical Recruiter
All your information will be kept confidential according to EEO guidelines.
Company Description
Collabera is ranked amongst the top 10 Information Technology (IT) staffing firms in the U.S., with more than $550 million in sales revenue and a global presence that represents approximately 12,000+ professionals across North America (U.S., Canada), Asia Pacific (India, Philippines, Singapore, Malaysia) and the United Kingdom. We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 75% of our clients rank us amongst their top three staffing suppliers.
Not only are we committed to meeting and exceeding our customer’s needs, but also are committed to our employees’ satisfaction as well. We believe our employees are the cornerstone of our success and we make every effort to ensure their satisfaction throughout their tenure with Collabera. As a result of these efforts, we have been recognized by Staffing Industry Analysts (SIA) as the “Best Staffing Firm to Work For” for five consecutive years since 2012. Collabera has over 40 offices across the globe with a presence in seven countries and provides staff augmentation, managed services and direct placement services to global 2000 corporations.
For consultants and employees, Collabera offers an enriching experience that promotes career growth and lifelong learning.
Awards and Recognitions
--Staffing Industry Analysts: Best Staffing Firm to Work For (2016, 2015, 2014, 2013, 2012)
--Staffing Industry Analysts: Largest U.S. Staffing Firms (2016, 2015, 2014, 2013)
--Staffing Industry Analysts: Largest Minority Owned IT Staffing Firm in the US.
Job Description
Generic Job Title: CW Customer Data Quality Analyst
Location: Plano, TX
Duration: 6+ Months
Pay Rate: OPEN to discuss on W2 basis
This is a business (as opposed to technical) role, A recent college grad with maybe a couple of years of experience, willingness to learn, and excellent soft skills would be the ideal fit. Above all, clients need someone who is:
- Organized
- Detail-oriented
- Conscientious
- Logical
- An effective verbal and written communicator
- Not expecting to do coding, programming, or any other hands-on technical work
- Able to create and maintain documents in Word, Excel, etc.
- One nice-to-have would be experience is creating and executing user-acceptance tests, but that can be trained for.
The Business Intelligence organization manages business (non-technical) functionality of the enterprise customer master database. Major areas of responsibility for this group include:
- Performing manual data corrections, both proactively and in responsive to problem tickets
- Identifying data-quality trends which may indicate application or system-integration defects
- Working with information-technology resources to perform root-cause analysis for incorrect data
- Tracking identified data-quality issues for resolution
- Coordinating with information-technology resources to prioritize system/integration issues for resolution
- Developing and maintaining procedural documentation around data-corrections processes
- Representing the BI organization on initiatives which impact customer data
- Developing and executing user-acceptance and regression test plans for defect fixes, enhancements, and project implementations
- Training incoming team members in these job functions
- Participating in other Business Intelligence data-quality initiatives as needed
- The training period is extensive due to the complexity of the applications and research requirements, so the first few months of work are primarily data-entry, with new responsibilities added as the resource becomes proficient in each new task.
If you are interested and wish to discuss more about this opportunity, please share an updated word copy of your resume and you may feel free to give me a call at (314) 815-5414. Thank you.
Warmly,
Aleli "Ali" Balais
Technical Recruiter
All your information will be kept confidential according to EEO guidelines.
See all 286+ OPT Data Quality Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Quality Analyst Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Data Quality Analyst
Lead with your data toolset
Hiring managers for Data Quality Analyst roles scan resumes for SQL, Python, and ETL tools first. List the specific tools you've used on projects or coursework. Generic mentions of 'data experience' won't stand out in a competitive applicant pool.
Target STEM-designated employers early
Not all employers are set up to support STEM OPT extensions. Prioritize companies that have sponsored STEM OPT before. This matters more than company size and avoids scrambling for an extension before your initial 12 months run out.
Address OPT proactively in your cover letter
Briefly state your OPT authorization type and end date in your cover letter. Employers unfamiliar with STEM OPT often assume shorter timelines. Clarifying upfront removes a common reason hiring managers deprioritize international candidates.
Frame academic projects as real data experience
Capstone projects, thesis work, or coursework involving data validation and quality checks count as relevant experience. Describe the dataset size, tools used, and outcomes. Employers evaluate impact, not just whether the experience was paid work.
Emphasize domain knowledge alongside technical skills
Data quality work is highly context-specific. If your background touches healthcare data, financial records, or logistics, highlight it. Domain-matched candidates are significantly easier to onboard and far more likely to clear initial resume screens.
Apply to mid-sized companies with data infrastructure needs
Mid-sized companies in regulated industries often have the most urgent need for data quality work and shorter hiring cycles than large enterprises. They're also more flexible on OPT sponsorship when the candidate clearly solves a real business problem.
Data Quality Analyst OPT: Frequently Asked Questions
Do Data Quality Analyst roles qualify for the STEM OPT extension?
Most Data Quality Analyst positions qualify for the 24-month STEM OPT extension, giving you up to 36 months of total work authorization. Qualifying degrees typically include computer science, information systems, statistics, and data science. Your employer must be enrolled in E-Verify to support the extension, so confirm this before accepting an offer.
How do I find Data Quality Analyst jobs that are open to OPT students?
Browse Migrate Mate to find Data Quality Analyst roles filtered specifically for OPT work authorization. Many general job boards don't let you filter by visa sponsorship willingness, which means you spend significant time applying to roles that won't move forward. Migrate Mate surfaces positions where employers are already open to OPT candidates.
What degree backgrounds do employers accept for Data Quality Analyst roles on OPT?
Employers most commonly hire from computer science, information systems, statistics, data engineering, and applied mathematics programs. Some roles in healthcare or finance also accept public health informatics or quantitative finance backgrounds. The key factor is demonstrating hands-on experience with data validation, profiling, or pipeline work regardless of exact degree title.
Can I start a Data Quality Analyst job before my STEM OPT extension is approved?
Yes, if you filed your STEM OPT extension application before your initial OPT EAD expired, you receive an automatic 180-day cap-gap that lets you continue working while USCIS processes the extension. You should not stop working during this period, but confirm with your DSO that your I-20 reflects the extension request before your EAD expiration date.
What technical skills should I prioritize to get hired as a Data Quality Analyst on OPT?
SQL is non-negotiable for almost every Data Quality Analyst role. Beyond that, employers prioritize experience with data profiling tools, ETL pipelines, and Python or R for validation scripts. Familiarity with data governance frameworks and experience documenting data lineage are increasingly valued, especially in finance, healthcare, and enterprise software environments.