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 JobsKNIME Data & Analytics Engineer
W2 contract, min of 2 months
ONSITE out of Plano, TX
W2 $42/hr
Key Responsibilities
This role primarily supports Brand Execution and Retail Operations reporting. Key responsibilities include, but are not limited to:
- Workflow Audit & Documentation: Audit and document the current library of Alteryx workflows, including macros, joins, formulas, data blending logic, and scheduled outputs that support Brand Execution and Retail Operations reporting.
- KNIME Migration & Validation: Rebuild and validate equivalent (or improved) logic in KNIME Analytics Platform, ensuring output parity with existing Alteryx-generated reports before cutover.
- AI-Enabled Reporting Solution: Design and build an AI-assisted internal reporting/dashboard solution (leveraging KNIME's AI extensions and/or other generative AI tools) to display migrated workflow output for internal stakeholders only - no external or customer-facing data exposure.
- Stakeholder Partnership & Sign-Off: Partner with the Business Process Manager and business stakeholders (channel managers, program managers) to confirm requirements, test outputs, and obtain sign-off on migrated workflows.
- Documentation & Knowledge Assets: Produce clear documentation: a workflow inventory, a migration runbook, a KNIME workflow style guide, and a summary of the AI reporting solution's architecture and data sources.
- QA & Issue Resolution: Perform QA and troubleshoot data discrepancies between legacy Alteryx outputs and new KNIME outputs, escalating and resolving issues quickly given the fixed project timeline.
- Knowledge Transfer & Training: Deliver a knowledge-transfer session to the internal team covering how to maintain, extend, and troubleshoot the new KNIME workflows and AI reporting tool after the engagement ends.
Key Technologies & Tools
- Data Preparation & ETL: Alteryx Designer, KNIME Analytics Platform, SQL
- Visualization & Reporting: Tableau, KNIME dashboard/reporting extensions
- AI & Automation: Claude, Gemini, KNIME AI extensions, or comparable generative AI tools
- Collaboration & Communication: Microsoft 365 (Teams, SharePoint, Outlook)
QUALIFICATIONS & SKILLS
- 3+ years of hands-on experience building and maintaining workflows in Alteryx Designer (data blending, macros, spatial and predictive tools).
- Demonstrated hands-on experience with KNIME Analytics Platform; prior experience migrating workflows from another ETL/analytics tool into KNIME strongly preferred.
- Practical experience using AI/LLM tools (e.g., Claude, Gemini, or similar) to build, accelerate, or automate reporting and data solutions.
- Strong SQL skills and general ETL/data-blending proficiency.
- Familiarity with Tableau or comparable BI/visualization tools, and an understanding of how to translate existing dashboards into a new platform.
- Ability to work independently, manage priorities, and deliver production-ready results within an aggressive, fixed 60-day timeline.
- Excellent written documentation and stakeholder communication skills; comfortable presenting technical work to non-technical audiences.
Nice-to-Have Skills
- Experience supporting retail operations, merchandising, or facility maintenance reporting (Brand Execution, fixture installs, compliance, or R&M reporting a plus).
- Background in business process management or process improvement.
- Experience deploying AI tooling in a data-governance-aware, internal-only environment.
- Bachelor's degree in Business, Data Analytics, Information Systems, or a related field, or equivalent practical experience.
KNIME Data & Analytics Engineer
W2 contract, min of 2 months
ONSITE out of Plano, TX
W2 $42/hr
Key Responsibilities
This role primarily supports Brand Execution and Retail Operations reporting. Key responsibilities include, but are not limited to:
- Workflow Audit & Documentation: Audit and document the current library of Alteryx workflows, including macros, joins, formulas, data blending logic, and scheduled outputs that support Brand Execution and Retail Operations reporting.
- KNIME Migration & Validation: Rebuild and validate equivalent (or improved) logic in KNIME Analytics Platform, ensuring output parity with existing Alteryx-generated reports before cutover.
- AI-Enabled Reporting Solution: Design and build an AI-assisted internal reporting/dashboard solution (leveraging KNIME's AI extensions and/or other generative AI tools) to display migrated workflow output for internal stakeholders only - no external or customer-facing data exposure.
- Stakeholder Partnership & Sign-Off: Partner with the Business Process Manager and business stakeholders (channel managers, program managers) to confirm requirements, test outputs, and obtain sign-off on migrated workflows.
- Documentation & Knowledge Assets: Produce clear documentation: a workflow inventory, a migration runbook, a KNIME workflow style guide, and a summary of the AI reporting solution's architecture and data sources.
- QA & Issue Resolution: Perform QA and troubleshoot data discrepancies between legacy Alteryx outputs and new KNIME outputs, escalating and resolving issues quickly given the fixed project timeline.
- Knowledge Transfer & Training: Deliver a knowledge-transfer session to the internal team covering how to maintain, extend, and troubleshoot the new KNIME workflows and AI reporting tool after the engagement ends.
Key Technologies & Tools
- Data Preparation & ETL: Alteryx Designer, KNIME Analytics Platform, SQL
- Visualization & Reporting: Tableau, KNIME dashboard/reporting extensions
- AI & Automation: Claude, Gemini, KNIME AI extensions, or comparable generative AI tools
- Collaboration & Communication: Microsoft 365 (Teams, SharePoint, Outlook)
QUALIFICATIONS & SKILLS
- 3+ years of hands-on experience building and maintaining workflows in Alteryx Designer (data blending, macros, spatial and predictive tools).
- Demonstrated hands-on experience with KNIME Analytics Platform; prior experience migrating workflows from another ETL/analytics tool into KNIME strongly preferred.
- Practical experience using AI/LLM tools (e.g., Claude, Gemini, or similar) to build, accelerate, or automate reporting and data solutions.
- Strong SQL skills and general ETL/data-blending proficiency.
- Familiarity with Tableau or comparable BI/visualization tools, and an understanding of how to translate existing dashboards into a new platform.
- Ability to work independently, manage priorities, and deliver production-ready results within an aggressive, fixed 60-day timeline.
- Excellent written documentation and stakeholder communication skills; comfortable presenting technical work to non-technical audiences.
Nice-to-Have Skills
- Experience supporting retail operations, merchandising, or facility maintenance reporting (Brand Execution, fixture installs, compliance, or R&M reporting a plus).
- Background in business process management or process improvement.
- Experience deploying AI tooling in a data-governance-aware, internal-only environment.
- Bachelor's degree in Business, Data Analytics, Information Systems, or a related field, or equivalent practical experience.
See all 605+ 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.