STEM OPT Analytics Engineer Jobs
Analytics Engineer roles sit squarely within STEM OPT eligibility, letting you extend your F-1 work authorization by 24 months beyond your initial OPT period. Your employer must be enrolled in E-Verify, and your degree in computer science, statistics, mathematics, or a related STEM field must align with the role's CIP code.
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Position Title: ITS Reporting and Analytics Analyst
Position Type: Staff
Requisition Number: ST208
Department: Information Tech Services
Title of Supervisor: Director, Enterprise Applications and Data
Full-time/ Part-time: Full-time
Work Hours per Week: 35
Weeks Per Year: 52
Months Per Year: 12
Work Days: Monday - Friday
Work Hours: 8:30 AM - 4:30 PM
Salary Range: $70,000 - $80,000
Exemption Status: Exempt
Job Description Summary
The ITS Reporting and Analytics Analyst is responsible for designing, developing, and maintaining the technical infrastructure required to support business intelligence solutions, including the data lake, data pipelines, and reporting tools. This role ensures that data from multiple systems is efficiently integrated, transformed, and made available for analysis, reporting, and decision-making. The ITS Reporting and Analytics Analyst works closely with Institutional Research and University stakeholders to ensure that the data architecture supports the university’s reporting needs while maintaining data quality, security, and scalability. In addition, the Reporting and Analytics Analyst works with Institutional Research and the Controller to update the Academic Program Portfolio Review (APPR) data and dashboards. This role provides backup support to the Data Integration Analyst as needed.
This is a staff bargaining unit position
Essential Functions
- Design, build, and maintain the university’s data infrastructure to consolidate data from various systems (e.g., Slate, Colleague, Handshake, Moodle, PowerFAIDS etc) into a centralized repository for reporting and analytics.
- Design, develop, and optimize data pipelines to ensure data is extracted from source systems and loaded into the data lake or other analytics platforms. Develop and maintain business logic to support reporting and analytics.
- Develop and maintain logical and physical data models that incorporate business logic to support analytical and reporting needs. Ensure that data models are optimized for efficient querying and reporting.
- Work with reporting tools (e.g., Power BI, Tableau, Entrinsik) to ensure data availability for dashboards and reports. Optimize data structures and queries to improve reporting performance.
- Collaborate with Institutional Research, IT Business Analysts, and end users to understand reporting and analytics requirements. Provide technical solutions to meet those needs while ensuring scalability and performance.
- Develop institutional reports and dashboards as needed based on ticket requests and project implementations.
- Monitor the performance of data pipelines, databases, and reporting tools. Optimize queries, data structures, and processes to improve efficiency and reduce load times.
- Document technical processes, data flows, and data models. Provide training and support to end users and data analysts on BI tools, data structures, and reporting best practices.
- Participate in the University data governance group and ensure that all BI solutions comply with the university’s data governance policies and industry regulations (e.g., FERPA, GDPR). Implement and enforce data quality standards across all BI processes.
Required Education, Experience, Technology Applications and Skills
- Bachelor’s degree in Computer Science, Information Systems or a related field.
- 3+ years of experience in business intelligence, data engineering, or a related field.
- Experience with data warehouse technologies (e.g., Snowflake, Redshift, Big, SSIS).
- Strong SQL skills and experience with databases (e.g., PostgreSQL, SQL Server).
- Experience with reporting tools and BI platforms such as Power BI, Tableau, Entrinsik etc.
- Familiarity with data modeling, database design, and data architecture.
- Excellent problem-solving skills and the ability to troubleshoot data issues.
- Strong communication skills to work effectively with technical and non-technical stakeholders.
- Ability to plan and work independently is required; ability to research, analyze and promote new technical solutions is desired.
- Strong problem-solving and analytical skills are a must.
- Demonstrates commitment to working in a diverse workplace and to building a pluralistic community by promoting an increased understanding of individual differences and perspectives that will enable workforce cohesiveness.
- High emphasis placed on professionalism, efficiency and a positive attitude.
- Annual participation in professional development; focuses on acquiring, improving and applying technological and other skills that are essential to achieving the goals of the University.
Preferred Education, Experience, Technology Applications and Skills
- Experience with project management tools and methodologies.
- Experience working in higher education or understanding of education-related data is a plus.
Supervisory Responsibilities
N/A
Physical Requirements
Prolonged periods of sitting, computer use, and occasional lifting or moving of light objects.
Equipment to be used
- Reporting tools (Tableau, PowerBI, etc.) – Intermediate
- SQL programming – Intermediate
- Database technologies (cloud and on-prem.) – Intermediate
- MS Office (standard apps) – Intermediate
Posting Detail Information
Posting Date: 10/15/2026
EEO Statement
Join Nazareth University, a leading institution in Rochester, NY, with a vibrant community of approximately 1,900 undergraduate and 500 graduate students. We seek dedicated staff members who are committed to supporting student success, community engagement, and championing equity and inclusion. Located just minutes from downtown Rochester, our campus provides a dynamic environment for professional growth, innovation, and collaboration.
At Nazareth, we are committed to equity and inclusion, ensuring equal access to employment opportunities without discrimination. We advocate for an inclusive workplace and welcome applicants from diverse backgrounds, experiences, and perspectives. Our Anti-Discrimination Policy upholds fair treatment based solely on qualifications and merit.
Join us in celebrating diversity, where every individual, regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other protected status, is valued and respected.
Special Instructions to Applicants
Quick Link: https://jobs.naz.edu/postings/4530
Work Location: In person
Position Information
Position Title: ITS Reporting and Analytics Analyst
Position Type: Staff
Requisition Number: ST208
Department: Information Tech Services
Title of Supervisor: Director, Enterprise Applications and Data
Full-time/ Part-time: Full-time
Work Hours per Week: 35
Weeks Per Year: 52
Months Per Year: 12
Work Days: Monday - Friday
Work Hours: 8:30 AM - 4:30 PM
Salary Range: $70,000 - $80,000
Exemption Status: Exempt
Job Description Summary
The ITS Reporting and Analytics Analyst is responsible for designing, developing, and maintaining the technical infrastructure required to support business intelligence solutions, including the data lake, data pipelines, and reporting tools. This role ensures that data from multiple systems is efficiently integrated, transformed, and made available for analysis, reporting, and decision-making. The ITS Reporting and Analytics Analyst works closely with Institutional Research and University stakeholders to ensure that the data architecture supports the university’s reporting needs while maintaining data quality, security, and scalability. In addition, the Reporting and Analytics Analyst works with Institutional Research and the Controller to update the Academic Program Portfolio Review (APPR) data and dashboards. This role provides backup support to the Data Integration Analyst as needed.
This is a staff bargaining unit position
Essential Functions
- Design, build, and maintain the university’s data infrastructure to consolidate data from various systems (e.g., Slate, Colleague, Handshake, Moodle, PowerFAIDS etc) into a centralized repository for reporting and analytics.
- Design, develop, and optimize data pipelines to ensure data is extracted from source systems and loaded into the data lake or other analytics platforms. Develop and maintain business logic to support reporting and analytics.
- Develop and maintain logical and physical data models that incorporate business logic to support analytical and reporting needs. Ensure that data models are optimized for efficient querying and reporting.
- Work with reporting tools (e.g., Power BI, Tableau, Entrinsik) to ensure data availability for dashboards and reports. Optimize data structures and queries to improve reporting performance.
- Collaborate with Institutional Research, IT Business Analysts, and end users to understand reporting and analytics requirements. Provide technical solutions to meet those needs while ensuring scalability and performance.
- Develop institutional reports and dashboards as needed based on ticket requests and project implementations.
- Monitor the performance of data pipelines, databases, and reporting tools. Optimize queries, data structures, and processes to improve efficiency and reduce load times.
- Document technical processes, data flows, and data models. Provide training and support to end users and data analysts on BI tools, data structures, and reporting best practices.
- Participate in the University data governance group and ensure that all BI solutions comply with the university’s data governance policies and industry regulations (e.g., FERPA, GDPR). Implement and enforce data quality standards across all BI processes.
Required Education, Experience, Technology Applications and Skills
- Bachelor’s degree in Computer Science, Information Systems or a related field.
- 3+ years of experience in business intelligence, data engineering, or a related field.
- Experience with data warehouse technologies (e.g., Snowflake, Redshift, Big, SSIS).
- Strong SQL skills and experience with databases (e.g., PostgreSQL, SQL Server).
- Experience with reporting tools and BI platforms such as Power BI, Tableau, Entrinsik etc.
- Familiarity with data modeling, database design, and data architecture.
- Excellent problem-solving skills and the ability to troubleshoot data issues.
- Strong communication skills to work effectively with technical and non-technical stakeholders.
- Ability to plan and work independently is required; ability to research, analyze and promote new technical solutions is desired.
- Strong problem-solving and analytical skills are a must.
- Demonstrates commitment to working in a diverse workplace and to building a pluralistic community by promoting an increased understanding of individual differences and perspectives that will enable workforce cohesiveness.
- High emphasis placed on professionalism, efficiency and a positive attitude.
- Annual participation in professional development; focuses on acquiring, improving and applying technological and other skills that are essential to achieving the goals of the University.
Preferred Education, Experience, Technology Applications and Skills
- Experience with project management tools and methodologies.
- Experience working in higher education or understanding of education-related data is a plus.
Supervisory Responsibilities
N/A
Physical Requirements
Prolonged periods of sitting, computer use, and occasional lifting or moving of light objects.
Equipment to be used
- Reporting tools (Tableau, PowerBI, etc.) – Intermediate
- SQL programming – Intermediate
- Database technologies (cloud and on-prem.) – Intermediate
- MS Office (standard apps) – Intermediate
Posting Detail Information
Posting Date: 10/15/2026
EEO Statement
Join Nazareth University, a leading institution in Rochester, NY, with a vibrant community of approximately 1,900 undergraduate and 500 graduate students. We seek dedicated staff members who are committed to supporting student success, community engagement, and championing equity and inclusion. Located just minutes from downtown Rochester, our campus provides a dynamic environment for professional growth, innovation, and collaboration.
At Nazareth, we are committed to equity and inclusion, ensuring equal access to employment opportunities without discrimination. We advocate for an inclusive workplace and welcome applicants from diverse backgrounds, experiences, and perspectives. Our Anti-Discrimination Policy upholds fair treatment based solely on qualifications and merit.
Join us in celebrating diversity, where every individual, regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other protected status, is valued and respected.
Special Instructions to Applicants
Quick Link: https://jobs.naz.edu/postings/4530
Work Location: In person
See all 581+ STEM OPT Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Analytics Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an Analytics Engineer
Verify your CIP code before applying
Pull your degree's Classification of Instructional Programs code from your transcript or DSO and cross-reference it against STEM-designated program lists. Analytics Engineer roles typically align with CIP codes in computer science, mathematics, or information science fields.
Filter job listings by E-Verify status
Before submitting any application, confirm the employer is enrolled in E-Verify through the official E-Verify employer search. Employers who haven't enrolled can't legally employ you on a STEM OPT extension, no matter how willing they are to hire.
Frame your data stack in the resume
Analytics Engineer roles are highly technical. Listing specific tools like dbt, Airflow, or Snowflake signals that you can contribute without a long ramp-up, which directly addresses employer hesitation around the I-983 training plan timeline.
Use Migrate Mate to target employers with STEM OPT history
Search Analytics Engineer openings on Migrate Mate, which surfaces employers with verified STEM OPT and E-Verify enrollment history. That narrows your list to companies that have already cleared the compliance requirements you need.
Submit your I-983 training plan before your OPT end date
Your DSO must receive a complete I-983 outlining your Analytics Engineer responsibilities, learning objectives, and supervision structure. USCIS requires this before your 24-month STEM extension can be authorized, so don't wait until after the offer is signed.
Check whether cap-gap coverage applies if H-1B is filed
If your employer files an H-1B visa petition before your OPT expires, cap-gap rules may automatically extend your work authorization through September 30. Confirm the exact dates with your DSO and track your receipt notice from USCIS closely.
Frequently Asked Questions
Does an Analytics Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, statistics, mathematics, or information systems, and the Analytics Engineer role requires that technical background. Your DSO will verify the CIP code match. The role must also involve applying that STEM knowledge directly, not just adjacent business functions. O*NET classifies Analytics Engineer work under data and computer science occupations, which consistently align with STEM OPT eligibility.
What does the employer need to do to hire me on STEM OPT?
The employer must be enrolled in E-Verify before your STEM OPT extension begins. They also need to sign your I-983 training plan, which outlines your role, the skills you'll develop, your compensation, and how your supervisor will oversee your work. USCIS requires that the training plan reflect a genuine mentorship or development structure tied to your STEM degree, not just a standard employment description.
How do I find Analytics Engineer employers enrolled in E-Verify?
You can search the E-Verify employer database directly to confirm enrollment before applying. Migrate Mate also filters Analytics Engineer listings by employers with verified E-Verify enrollment and STEM OPT hiring history, which cuts down the research time significantly. Targeting companies with that track record reduces the risk of an offer falling through because of compliance gaps discovered after the process has already started.
What goes into the I-983 training plan for an Analytics Engineer?
The I-983 must describe your specific Analytics Engineer responsibilities, the STEM skills you'll build during the extension period, your salary and hours, your supervisor's qualifications, and how the employer will evaluate your progress. USCIS expects the plan to demonstrate a direct connection between the work and your STEM degree field. Vague job descriptions that could apply to any data role are a common reason DSOs request revisions before signing.
Can I stay and work if my H-1B petition is filed before my STEM OPT expires?
Yes. If your employer files a timely and properly selected H-1B petition before your STEM OPT authorization ends, cap-gap provisions under USCIS rules extend your work authorization automatically through September 30 of that fiscal year. Your EAD may show an earlier expiration date, but the cap-gap extension is what legally covers you. Carry your H-1B receipt notice and your expired EAD together as documentation during that period.