CPT Business Intelligence Lead Jobs
Business Intelligence Lead roles qualify for CPT when your program includes data analytics, information systems, or a related curriculum component. Your DSO must authorize each position before you start, and the work must directly integrate with your degree requirements. Leadership-level BI roles typically involve stakeholder reporting, data strategy, and team oversight.
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Get Access To All JobsINTRODUCTION
Are you highly motivated and looking to build deep technical expertise through hands-on, real-world data engineering and analytics work? Our Business Intelligence team is seeking a highly technical intern to support a critical modernization initiative focused on migrating legacy SSRS reports to a cloud-based data lake and modern semantic models.
This internship is designed for students who want to strengthen skills in data modeling, SQL development, report migration, and analytics architecture, rather than end-user reporting or business-facing analysis. The intern will work closely with experienced BI engineers on well-defined migration and design tasks that are critical to the scalability and future-state analytics platform.
If you are excited about learning modern BI architecture and contributing to foundational technical initiatives, we encourage you to apply.
A DAY IN THE LIFE
In this role, you will…
- Support the migration of legacy SSRS reports to a data lake-centric analytics architecture
- Analyze existing SSRS report logic, stored procedures, datasets, and dependencies
- Re-create report logic using SQL, data lake structures, and modern semantic models
- Design and implement semantic layers (Power BI datasets, tabular models, or equivalent) optimized for reuse and performance
- Assist with data model normalization, star schema design, and metric standardization
- Validate migrated reports and datasets for data accuracy, performance, and completeness
- Document source-to-target mappings, transformation logic, and modeling standards
- Collaborate primarily with BI engineers and architects; limited to no direct business user interaction
- Gain hands-on experience with enterprise BI modernization initiatives
- Apply academic knowledge to large-scale, real-world data systems
WHO YOU ARE
You possess …
- Undergraduate Junior, Senior, or Graduate status in Computer Science, Information Systems, Data Analytics, or related field
- Strong interest in data engineering, analytics platforms, and BI architecture
- Solid understanding of SQL, including joins, aggregations, and query optimization
- Familiarity with relational data models and dimensional modeling concepts
- Exposure to or interest in data lakes, analytics platforms, or cloud data services
- Experience with Power BI, SSRS, or other reporting tools (academic or internship experience acceptable)
- Strong analytical and problem-solving skills
- A desire to work on focused, independent technical projects
- Attention to detail and commitment to data quality and design best practices
Responsibilities
- Inventory and analyze existing SSRS reports, data sources, and queries
- Translate report logic and calculations into data lake–based SQL models
- Design and build semantic datasets to support modern reporting and analytics
- Refactor complex SQL and reporting logic for performance and scalability
- Support testing and validation of migrated datasets and reports
- Create clear technical documentation for data models and migration decisions
- Participate in a structured intern capstone project focused on BI modernization
- Attend regular team check-ins to track progress and remove technical blockers
Qualifications
- Undergraduate Junior, Senior, or Graduate Student; IT, Computer Science, Data, or Engineering majors preferred
- Strong SQL and analytical skills
- Basic understanding of data modeling and reporting concepts
- Comfortable working independently with clearly defined technical tasks
- Working knowledge of Microsoft Office Suite
- Ability to document technical work clearly
- Ability to manage time effectively and meet deadlines
- Ability to work in a fast-paced technical environment
INTRODUCTION
Are you highly motivated and looking to build deep technical expertise through hands-on, real-world data engineering and analytics work? Our Business Intelligence team is seeking a highly technical intern to support a critical modernization initiative focused on migrating legacy SSRS reports to a cloud-based data lake and modern semantic models.
This internship is designed for students who want to strengthen skills in data modeling, SQL development, report migration, and analytics architecture, rather than end-user reporting or business-facing analysis. The intern will work closely with experienced BI engineers on well-defined migration and design tasks that are critical to the scalability and future-state analytics platform.
If you are excited about learning modern BI architecture and contributing to foundational technical initiatives, we encourage you to apply.
A DAY IN THE LIFE
In this role, you will…
- Support the migration of legacy SSRS reports to a data lake-centric analytics architecture
- Analyze existing SSRS report logic, stored procedures, datasets, and dependencies
- Re-create report logic using SQL, data lake structures, and modern semantic models
- Design and implement semantic layers (Power BI datasets, tabular models, or equivalent) optimized for reuse and performance
- Assist with data model normalization, star schema design, and metric standardization
- Validate migrated reports and datasets for data accuracy, performance, and completeness
- Document source-to-target mappings, transformation logic, and modeling standards
- Collaborate primarily with BI engineers and architects; limited to no direct business user interaction
- Gain hands-on experience with enterprise BI modernization initiatives
- Apply academic knowledge to large-scale, real-world data systems
WHO YOU ARE
You possess …
- Undergraduate Junior, Senior, or Graduate status in Computer Science, Information Systems, Data Analytics, or related field
- Strong interest in data engineering, analytics platforms, and BI architecture
- Solid understanding of SQL, including joins, aggregations, and query optimization
- Familiarity with relational data models and dimensional modeling concepts
- Exposure to or interest in data lakes, analytics platforms, or cloud data services
- Experience with Power BI, SSRS, or other reporting tools (academic or internship experience acceptable)
- Strong analytical and problem-solving skills
- A desire to work on focused, independent technical projects
- Attention to detail and commitment to data quality and design best practices
Responsibilities
- Inventory and analyze existing SSRS reports, data sources, and queries
- Translate report logic and calculations into data lake–based SQL models
- Design and build semantic datasets to support modern reporting and analytics
- Refactor complex SQL and reporting logic for performance and scalability
- Support testing and validation of migrated datasets and reports
- Create clear technical documentation for data models and migration decisions
- Participate in a structured intern capstone project focused on BI modernization
- Attend regular team check-ins to track progress and remove technical blockers
Qualifications
- Undergraduate Junior, Senior, or Graduate Student; IT, Computer Science, Data, or Engineering majors preferred
- Strong SQL and analytical skills
- Basic understanding of data modeling and reporting concepts
- Comfortable working independently with clearly defined technical tasks
- Working knowledge of Microsoft Office Suite
- Ability to document technical work clearly
- Ability to manage time effectively and meet deadlines
- Ability to work in a fast-paced technical environment
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Get Access To All JobsBusiness Intelligence Lead CPT: Frequently Asked Questions
Does a Business Intelligence Lead role qualify for CPT authorization?
Yes, if your degree program includes coursework in data analytics, business intelligence, information systems, or a related field. The role must be an integral part of your curriculum, not merely relevant to your major. Your DSO evaluates the specific job duties against your academic program, so bring the offer letter and a job description when you request authorization.
Can I work full-time as a Business Intelligence Lead on CPT during the school year?
Full-time CPT during the academic year is allowed but requires explicit DSO approval and must remain curricular. Twelve months or more of full-time CPT eliminates your OPT eligibility entirely, so if you plan to continue working after graduation, discuss the cumulative timeline with your DSO before accepting a full-time engagement.
What employment documents do CPT employers typically request for a lead-level BI role?
Employers need your CPT-authorized I-20 showing the authorization dates and the specific employer name. For leadership roles, some hiring teams also request verification through E-Verify, even though it isn't legally required for CPT. Have your I-20, passport, and F-1 visa available, and confirm the employer's name on the offer matches exactly what appears on your authorized I-20.
How do I find employers actively hiring F-1 students for Business Intelligence Lead positions?
Migrate Mate lists employers with work authorization history in data and analytics roles, which helps you prioritize outreach to companies already familiar with F-1 hiring. Lead-level BI roles often require employer familiarity with multi-step authorization processes, so targeting companies with that background reduces friction during the offer and onboarding stages.
Does CPT work as a Business Intelligence Lead count toward OPT or H-1B eligibility?
CPT itself doesn't count toward OPT, but the experience does. Part-time CPT, regardless of duration, preserves your full OPT eligibility. If your CPT role involves specialty occupation duties, it also builds the work history that strengthens a future H-1B visa petition. USCIS evaluates prior experience in specialty occupations when adjudicating H-1B visa petitions, so document your BI leadership responsibilities clearly.