STEM OPT Data Quality Analyst Jobs
Data Quality Analyst roles sit squarely within STEM OPT eligibility, letting you extend your F-1 work authorization by 24 months beyond your initial OPT year. Your employer must be enrolled in E-Verify, and your STEM degree in computer science, statistics, or a related field must align with an approved CIP code.
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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 193+ Data Quality Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Quality Analyst roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Quality Analyst
Verify your CIP code before applying
Pull your degree's CIP code from your school's DSO and cross-check it against the DHS STEM OPT designated degree program list. Data quality roles often map to CIP codes in computer science, information science, or mathematics, but a mismatch delays your extension.
Confirm E-Verify enrollment during screening
Ask recruiters directly whether the employer is enrolled in E-Verify before your first interview. Hiring managers at smaller analytics firms often don't know offhand, so request confirmation from HR in writing before accepting any offer.
Target employers with active data governance hiring
Companies building data governance programs or migrating to cloud data warehouses consistently need data quality analysts and are more structured around STEM OPT onboarding. Use Migrate Mate to filter for employers with verified E-Verify enrollment in those sectors.
Build your I-983 training plan around measurable outcomes
Your I-983 must list specific learning objectives tied to your STEM degree. For data quality roles, frame objectives around statistical validation methods, data pipeline auditing, or anomaly detection, not just general data analysis tasks your DSO won't approve.
Use O*NET to match your degree field to the role
Data Quality Analyst appears in O*NET under database and network administrators and related occupations. Pull the occupation's listed knowledge areas and map them directly to your STEM degree coursework when justifying your extension application to your DSO.
Data Quality Analyst jobs are hiring across the US. Find yours.
Find Data Quality Analyst JobsFrequently Asked Questions
Does a Data Quality Analyst role qualify for the STEM OPT extension?
Yes, if your employer is enrolled in E-Verify and your degree's CIP code appears on the DHS STEM designated degree list. Degrees in computer science, information systems, statistics, or applied mathematics typically qualify. Your DSO confirms eligibility based on your specific degree program and the job duties listed in your I-983 training plan.
Which STEM degrees make you eligible to work as a Data Quality Analyst on STEM OPT?
Degrees in computer science, data science, statistics, information technology, mathematics, and industrial engineering are commonly approved. The key is that your CIP code must appear on the DHS STEM OPT list, and the role's core functions, such as data validation, pipeline monitoring, and quality framework design, must connect to your field of study. Your DSO makes the final determination.
What does the I-983 training plan need to include for a Data Quality Analyst position?
The I-983 must list specific, measurable learning objectives tied to your STEM degree, not just a job description. For a Data Quality Analyst role, include objectives around data integrity validation, anomaly detection methodology, or structured query auditing. Your employer's supervisor signs the plan, and USCIS requires that it demonstrate a genuine connection between the work and your degree field.
How do you verify that an employer is enrolled in E-Verify before accepting a Data Quality Analyst offer?
Ask the recruiter or HR contact directly and request written confirmation. Employers can also self-verify their enrollment status through the E-Verify employer search tool on the E-Verify website. Do not rely on a company's size or reputation as a proxy for enrollment. STEM OPT is invalid without a participating employer, and you're responsible for confirming this before your extension is filed.
Where can you find Data Quality Analyst jobs that are verified for STEM OPT hiring?
Migrate Mate filters job listings for employers enrolled in E-Verify, so you can focus your search on roles where STEM OPT is actually viable. This saves significant time compared to screening individual postings manually, especially in data and analytics, where smaller companies frequently hire for data quality roles but aren't always set up for STEM OPT compliance from day one.
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