STEM OPT Data Analytics Lead Jobs
Data Analytics Lead roles qualify for STEM OPT when your degree falls under an approved CIP code in statistics, computer science, or a related quantitative field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build leadership experience while pursuing long-term sponsorship.
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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 612+ STEM OPT Data Analytics Lead Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Data Analytics Lead
Verify your CIP code before applying
Cross-reference your degree's Classification of Instructional Programs code against the DHS STEM OPT designated degree list. Analytics and data science degrees sometimes carry CIP codes that fall outside the approved list, which disqualifies the extension entirely.
Confirm E-Verify enrollment before negotiating offers
An employer can want to hire you and still be unable to sign your I-983 if they aren't enrolled in E-Verify. Check the E-Verify employer search tool before you reach the offer stage to avoid last-minute delays.
Build your I-983 training plan around measurable analytics goals
USCIS requires your training plan to connect your degree to specific on-the-job learning. For a Data Analytics Lead role, tie each learning objective to a technical skill like predictive modeling, data pipeline architecture, or stakeholder reporting, not just job duties.
Target employers with active LCA filings in analytics
Use the OFLC Wage Search to identify companies that have filed Labor Condition Applications for data and analytics roles. Employers with recent LCA activity in your occupation already understand sponsorship obligations and are more likely to extend H-1B visa sponsorship after your OPT period ends.
Use Migrate Mate to filter for E-Verify employers
Search Data Analytics Lead roles on Migrate Mate to surface employers already enrolled in E-Verify and screened for STEM OPT eligibility. This cuts the manual verification step and lets you focus your outreach on companies ready to onboard OPT students directly.
Negotiate your start date around the 90-day reporting window
STEM OPT requires your DSO to report your employer and start date to SEVIS within ten days of you beginning work. Align your offer letter start date with your DSO's processing timeline so your authorization is active before your first day.
Frequently Asked Questions
Does a Data Analytics Lead role qualify for the STEM OPT extension?
It depends on both your degree and the role's classification. Your degree must carry an approved CIP code on the DHS STEM designated degree list, typically in computer science, statistics, mathematics, or information systems. The Data Analytics Lead role itself must involve applying that STEM knowledge directly. O*NET can help you confirm the occupation's technical requirements align with your field of study.
What does my employer need to do before I can start on STEM OPT?
Your employer must be enrolled in E-Verify before you begin work. They also need to sign the I-983 training plan alongside your DSO, documenting how the Data Analytics Lead role connects to your STEM degree. Employers who have never hired an OPT student before sometimes underestimate the lead time for E-Verify enrollment, so confirm their status during the offer negotiation stage, not after you've accepted.
How does the I-983 training plan apply to a Data Analytics Lead position?
The I-983 requires your employer to outline specific learning objectives tied to your degree field. For a Data Analytics Lead role, that means documenting training in areas like advanced statistical modeling, data infrastructure management, or cross-functional analytics strategy. Generic job descriptions don't satisfy the requirement. Both you and a company official must sign the plan, and your DSO keeps a copy on file.
What happens to my STEM OPT authorization if my H-1B is selected in the lottery but not yet effective?
If your employer files an H-1B petition on your behalf before your OPT expires, cap-gap protection extends your work authorization through September 30 of that fiscal year. If your petition is selected and approved, your H-1B status takes effect October 1. USCIS issues updated I-20 documentation through your DSO to reflect the cap-gap extension period. You can continue working in your Data Analytics Lead role without interruption during this window.
Where can I find Data Analytics Lead jobs that are already set up for STEM OPT students?
Migrate Mate filters Data Analytics Lead roles by employers enrolled in E-Verify and screened for STEM OPT compatibility, so you're not manually cross-checking each company's enrollment status. This matters at the lead level because senior analytics roles sometimes sit inside subsidiaries or contracting firms with different E-Verify enrollment status than the parent brand you recognize.