STEM OPT Data Analytics Specialist Jobs
Data Analytics Specialist roles in tech, finance, and healthcare are among the strongest fits for STEM OPT students with degrees in statistics, computer science, or data science. Your STEM degree qualifies you for the 24-month OPT extension, giving you up to 36 months of work authorization. The employer must be enrolled in E-Verify.
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Get Access To All JobsData Reporting & Analytics Developer
Job Summary
We are seeking an experienced Data Reporting & Analytics Developer to join a State of Georgia modernization program. You will design, build, and maintain the reporting layer, data pipelines, and analytics products that support program operations, management decision-making, and mandated state and federal reporting.
This role sits at the intersection of data engineering and business intelligence. You will work directly with program staff and business analysts to turn operational data into dashboards, scheduled reports, and analytical datasets that stakeholders rely on.
Key Responsibilities
- Design, develop, and maintain operational and analytical reports, dashboards, and data visualizations
- Build and optimize ETL/ELT pipelines to move data from transactional systems into the data warehouse or reporting layer
- Write, tune, and troubleshoot complex SQL — stored procedures, views, window functions, and performance-critical queries
- Develop and maintain data models (star/snowflake schemas, dimensional models) supporting reporting and analytics
- Produce recurring state and federal compliance reports, ensuring accuracy, completeness, and on-time delivery
- Partner with business analysts and program staff to gather reporting requirements and translate them into technical specifications
- Implement data quality checks, reconciliation logic, and validation rules across pipelines
- Support ad-hoc data requests and analysis from program leadership
- Document data definitions, lineage, business rules, and report specifications
- Participate in code reviews, testing, and release activities
- Troubleshoot data discrepancies across source systems and reporting outputs
Mandatory Qualifications
- Professional experience in data reporting, business intelligence, or analytics development
- Advanced SQL skills, including query optimization and performance tuning against large datasets
- Hands-on experience with at least one enterprise BI/reporting tool: Power BI, Tableau, SSRS, Cognos, or MicroStrategy
- Experience building and maintaining ETL/ELT processes using tools such as Informatica, SSIS, Talend, dbt, or equivalent
- Working knowledge of relational databases — SQL Server, Oracle, PostgreSQL, or DB2
- Experience with dimensional data modeling and data warehouse design principles
- Demonstrated ability to gather reporting requirements directly from non-technical business stakeholders
- Strong data validation, reconciliation, and quality-assurance practices
- Experience with version control (Git) and collaborative development workflows
- Excellent written and verbal communication skills
Desirable Qualifications
- Experience on state or federal government projects
- Experience producing federally mandated reports and understanding of associated compliance requirements
- Cloud data platform experience — AWS (Redshift, Glue, Athena, S3), Azure (Synapse, Data Factory), or Snowflake
- Python or R for data analysis, automation, or scripting
- Experience with modern data stack tooling (dbt, Airflow, Fivetran)
- Understanding of data governance, master data management, and data cataloging
- Knowledge of PHI/PII handling and HIPAA-adjacent data privacy requirements
- Experience with agile delivery methodologies
- Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field
Flexible work from home options available.
Data Reporting & Analytics Developer
Job Summary
We are seeking an experienced Data Reporting & Analytics Developer to join a State of Georgia modernization program. You will design, build, and maintain the reporting layer, data pipelines, and analytics products that support program operations, management decision-making, and mandated state and federal reporting.
This role sits at the intersection of data engineering and business intelligence. You will work directly with program staff and business analysts to turn operational data into dashboards, scheduled reports, and analytical datasets that stakeholders rely on.
Key Responsibilities
- Design, develop, and maintain operational and analytical reports, dashboards, and data visualizations
- Build and optimize ETL/ELT pipelines to move data from transactional systems into the data warehouse or reporting layer
- Write, tune, and troubleshoot complex SQL — stored procedures, views, window functions, and performance-critical queries
- Develop and maintain data models (star/snowflake schemas, dimensional models) supporting reporting and analytics
- Produce recurring state and federal compliance reports, ensuring accuracy, completeness, and on-time delivery
- Partner with business analysts and program staff to gather reporting requirements and translate them into technical specifications
- Implement data quality checks, reconciliation logic, and validation rules across pipelines
- Support ad-hoc data requests and analysis from program leadership
- Document data definitions, lineage, business rules, and report specifications
- Participate in code reviews, testing, and release activities
- Troubleshoot data discrepancies across source systems and reporting outputs
Mandatory Qualifications
- Professional experience in data reporting, business intelligence, or analytics development
- Advanced SQL skills, including query optimization and performance tuning against large datasets
- Hands-on experience with at least one enterprise BI/reporting tool: Power BI, Tableau, SSRS, Cognos, or MicroStrategy
- Experience building and maintaining ETL/ELT processes using tools such as Informatica, SSIS, Talend, dbt, or equivalent
- Working knowledge of relational databases — SQL Server, Oracle, PostgreSQL, or DB2
- Experience with dimensional data modeling and data warehouse design principles
- Demonstrated ability to gather reporting requirements directly from non-technical business stakeholders
- Strong data validation, reconciliation, and quality-assurance practices
- Experience with version control (Git) and collaborative development workflows
- Excellent written and verbal communication skills
Desirable Qualifications
- Experience on state or federal government projects
- Experience producing federally mandated reports and understanding of associated compliance requirements
- Cloud data platform experience — AWS (Redshift, Glue, Athena, S3), Azure (Synapse, Data Factory), or Snowflake
- Python or R for data analysis, automation, or scripting
- Experience with modern data stack tooling (dbt, Airflow, Fivetran)
- Understanding of data governance, master data management, and data cataloging
- Knowledge of PHI/PII handling and HIPAA-adjacent data privacy requirements
- Experience with agile delivery methodologies
- Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field
Flexible work from home options available.
See all 696+ STEM OPT Data Analytics Specialist Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Analytics Specialist
Confirm your CIP code qualifies first
Not every STEM degree automatically qualifies for the 24-month extension. Check your degree's Classification of Instructional Programs code against the official STEM Designated Degree Program list that USCIS maintains. Data science, statistics, and computer science CIP codes are typically covered, but applied social science variants sometimes are not.
Verify E-Verify enrollment before applying
Any employer that hires you on STEM OPT must be enrolled in E-Verify. Ask your recruiter directly before the final interview stage. You can also confirm enrollment status through the E-Verify employer search tool, which lists participating companies by name and location.
Use OFLC Wage Search to benchmark your offer
Before accepting a Data Analytics Specialist offer, run the job title and work location through OFLC Wage Search to see the prevailing wage for that role and metro area. Your employer's Training Plan under the I-983 must reflect compensation that meets this threshold.
File your I-983 training plan before day one
Your employer and DSO must complete and sign the I-983 before your STEM OPT extension begins. Data Analytics Specialist roles should map training objectives to specific technical competencies like predictive modeling, SQL, or BI tools. Vague learning goals are the most common reason DSOs push back on plan approvals.
Target employers with documented data team structures
USCIS requires that STEM OPT training provide a genuine learning experience, not just production work. Companies with dedicated data engineering or analytics teams are better positioned to write an I-983 that reflects mentorship and skill development, which protects your extension if USCIS ever audits.
Search Migrate Mate to filter for E-Verify employers
Instead of guessing which companies qualify, use Migrate Mate to browse Data Analytics Specialist roles already filtered for E-Verify enrollment. That eliminates the back-and-forth of confirming eligibility mid-process and lets you focus applications on employers ready to support STEM OPT from day one.
Frequently Asked Questions
Does my STEM degree qualify me for the 24-month STEM OPT extension as a Data Analytics Specialist?
It depends on your specific degree, not just your job title. Your degree's CIP code must appear on the STEM Designated Degree Program list published by USCIS. Degrees in statistics, computer science, information systems, and data science typically qualify. A degree in a non-STEM field does not qualify even if your Data Analytics Specialist role is technical. Confirm your CIP code with your DSO before applying.
What does the I-983 training plan need to include for a Data Analytics Specialist role?
The I-983 must describe specific technical and professional goals tied to your Data Analytics Specialist position. Generic language is not enough. Your employer should document training in areas like statistical analysis, data visualization, machine learning, or database querying, along with mentorship structure and how performance will be evaluated. Your DSO reviews and co-signs the plan before your extension is approved.
Does my employer need to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a hard requirement for any employer hiring a STEM OPT student. If the employer is not enrolled at the time you start work, your STEM OPT extension is not valid. Confirm enrollment before you sign an offer. You can check employer participation status directly through E-Verify's employer search, or you can browse pre-filtered roles on Migrate Mate.
What happens to my work authorization if I'm waiting on an H-1B while working as a Data Analytics Specialist on STEM OPT?
If your employer files an H-1B visa petition on your behalf before your STEM OPT expires, cap-gap protection automatically extends your work authorization through September 30 of that fiscal year while USCIS adjudicates the petition. You can continue working as a Data Analytics Specialist during this period without interruption, as long as your employer filed before your EAD end date.
How do I find Data Analytics Specialist employers that are already set up to support STEM OPT?
The most efficient approach is to focus your search on employers confirmed as E-Verify participants with existing STEM OPT hiring experience. Migrate Mate filters Data Analytics Specialist job listings by E-Verify enrollment so you don't spend weeks confirming eligibility on your own. From there, ask recruiters directly about their I-983 process and whether they've supported STEM OPT extensions before.