STEM OPT Data Analytics Intern Jobs
Data Analytics Intern roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. Degrees in statistics, computer science, information systems, and related STEM fields typically qualify, giving you up to 36 months of total OPT work authorization to build analytics experience in the U.S.
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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 607+ STEM OPT Data Analytics Intern Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Analytics Intern
Verify your CIP code before applying
Your STEM OPT eligibility depends on your degree's CIP code, not just the department name. Check your I-20 against the DHS STEM Designated Degree Program List to confirm your analytics-related degree qualifies before you start the extension process.
Filter for E-Verify employers early
Not every company posting data analytics internships is enrolled in E-Verify, which is required for STEM OPT. Use Migrate Mate to search for roles at E-Verify-enrolled employers so you don't pursue positions that can't legally hire you on the extension.
Benchmark your offer against prevailing wage
Your employer must pay you the prevailing wage for your role and location under STEM OPT regulations. Look up the wage level for data analyst positions in your metro area using the OFLC Wage Search before evaluating any offer.
Draft your I-983 training plan with specifics
A vague I-983 is the most common reason STEM OPT training plans get rejected by your DSO. Tie each learning objective to a concrete analytics deliverable, like building a dashboard or running A/B tests, rather than listing generic skills.
Target employers with dedicated internship compliance processes
Large companies with structured internship programs typically have HR teams familiar with STEM OPT reporting requirements, including the employer evaluation and the 10-day reporting rule. Smaller firms may offer great roles but struggle with the compliance obligations.
Use O*NET to align your degree to the role
If a recruiter questions whether your degree relates to data analytics work, the O*NET occupation profile for data analysts lists the standard knowledge and education requirements. Reference it when explaining how your STEM coursework directly supports the internship duties.
Frequently Asked Questions
Does my STEM degree qualify me for the STEM OPT extension for a Data Analytics Intern role?
Your degree qualifies if it appears on the DHS STEM Designated Degree Program List, which covers fields like statistics, computer science, mathematics, information systems, and data science. The degree itself must qualify, not the job title. Confirm your degree's CIP code on your I-20 matches a listed program before submitting your STEM OPT extension application to your DSO.
Is E-Verify enrollment required for employers hiring STEM OPT interns in data analytics?
Yes, E-Verify enrollment is mandatory for any employer hiring a STEM OPT student, including internship positions. The employer must be enrolled before your extension is approved, not just before your start date. You can confirm a company's E-Verify status by asking HR directly or by searching for verified employers on Migrate Mate, which filters listings to E-Verify-enrolled companies.
What goes into the I-983 training plan for a Data Analytics Intern position?
The I-983 requires a detailed description of how the internship will develop STEM skills directly related to your degree. For data analytics roles, this means specifying the tools you'll use (SQL, Python, Tableau), the types of analyses you'll conduct, and measurable learning outcomes. Both you and your employer supervisor must sign it, and your DSO must approve it before your extension begins.
Can I work as a Data Analytics Intern while my STEM OPT extension application is pending?
If you apply for the STEM OPT extension before your initial OPT EAD expires, the cap-gap rule automatically extends your work authorization while the application is pending, as long as you remain in valid F-1 status. You can continue working without interruption. If your initial OPT expires before you file, you lose work authorization until the extension is approved, so timing your application is critical.
How do I find Data Analytics Intern jobs where the employer is already set up for STEM OPT hiring?
Many employers post internship roles without specifying their E-Verify status or STEM OPT experience, which creates extra due-diligence work for you. Migrate Mate shows data analytics internship listings filtered by E-Verify enrollment, so you can focus your applications on companies that are already compliant rather than vetting each one manually after you apply.