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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DATA QUALITY ANALYST
WHAT IS THE OPPORTUNITY?
The Data Quality Analyst will be responsible for testing data accuracy and performing data analysis and record keeping in order to improve quality of data on key reports, data sets and databases. The Analyst works with reporting teams, business and IT to identify and document quality rules, requirements and lineage of data for various reports. The Analyst will be responsible for design and execution of necessary tests in diverse development platforms and computing environments including SQL, Oracle, Snowflake, Excel VBA, Python, and third party applications.
WHAT WILL YOU DO?
- Participate in and leading discussions with cross-functional teams to identify and document data quality rules for critical reports and data sets
- Build Python applications and scripts for automated data collection, validation, and quality checks at scale
- Deconstruct complex Excel workbooks and SQL scripts to identify data lineage, transformations and dependencies
- Write SQL queries and Python code to test data based on various dimensions (i.e., Completeness, Accuracy, Conformity, Precision, Validity, Uniqueness, Timeliness)
- Draft SQL rules (in Oracle, Snowflake or other tools), and create test case
- Validate existing Data Quality rules to ensure they meet Data Governance requirements
- Review the transformation specifications written by various work streams to propose additional DQ rules
- Identify Data Quality issues and escalate issues to be remediated
- Design and build interactive Tableau dashboards and visualizations to summarize complex data insights to stakeholders
WHAT DO YOU NEED TO SUCCEED?
Required Qualifications
- Minimum 3 years of experience with data quality testing
- Minimum 5 years of experience with data analysis and reporting
- Minimum 3 years of experience with writing SQL statements
Additional Qualifications
- Bachelor’s Degree preferably in Information Systems. Master’s Degree in a related field is strongly desired.
- Knowledge of information access and delivery methods, analytics applications and tool portfolio, data sourcing and integration methods. Understanding of data warehouse, ETL, data cleansing, and architecture.
- Ability to write SQL queries, Python code, and Tableau dashboard design independently.
- Knowledge of advanced formulas & pivot tables in excel.
- Ability to understand financial institutions Regulatory initiatives like - Basel II, Basel III, Dodd Frank and CCAR.
- Proficient in MS Office applications; MS Project, MS Visio, MS PowerPoint, MS Excel, MS Access.
- Experience with ETL tools and data quality frameworks is highly desired. We value candidates who understand data governance principles, including data lineage, quality standards, and best practices. Familiarity with specific tools (such as Informatica, Collibra, IBM Analytics) is a plus, but strong foundational knowledge of ETL concepts is most important.
- Ability and knowledge for effectively interacting with data users, managers, and other stakeholders. Experience working and effectively collaborating with reporting, operations and technology teams.
- Strong critical thinking ability and problem resolution skills.
- Ability to work independently with light to moderate supervision in various areas of responsibility
- Minimum 3 years of experience with writing Python code
- Minimum 3 years of experience with developing and designing Tableau Dashboards
WHAT'S IN IT FOR YOU?
Compensation
Starting base salary: $87,027 - $138,965 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.
Benefits and Perks
At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including:
- Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date
- Generous 401(k) company matching contribution
- Career Development through Tuition Reimbursement and other internal upskilling and training resources
- Valued Time Away benefits including vacation, sick and volunteer time
- Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs
- Career Mobility support from a dedicated recruitment team
- Colleague Resource Groups to support networking and community engagement
Get a more detailed look at our Benefits and Perks.
About us
Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America’s leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us.
INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT
City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
- Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled.
Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.
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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.