BI Analyst Jobs in USA with Visa Sponsorship
BI analyst roles qualify for H-1B visa sponsorship when the position requires a degree in computer science, statistics, or a related field. Mid-to-large companies across tech, finance, healthcare, and consulting are the most likely sponsors. You'll strengthen your case by having technical skills in tools like Tableau, Power BI, and SQL alongside a quantitative degree. The role can sometimes face scrutiny at the H-1B level if it's framed too broadly, so job descriptions that emphasize analytical complexity help. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Kirkland & Ellis
At Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You’ll Do
Are you passionate about turning complex data into meaningful insights that drive business decisions?
As a Business Intelligence Data Modeler Engineer II, you’ll play a critical role in shaping how data is structured, accessed, and for enterprise business intelligence. Partnering closely with business analysts, data engineers, and business stakeholders, you’ll design and support development of data models that power reporting, analytics. This role blends technical expertise with business insight, giving you the opportunity to influence how data supports enterprise-wide decision-making.
- Data Modeling Design: Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.
- Business Partnership: Collaborate with stakeholders to translate business needs into scalable data structures and solutions.
- ETL Development Support: Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.
- Data Quality & Validation: Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.
- Performance Optimization: Continuously monitor and refine data models and database performance for efficient querying and reporting.
- Documentation & Governance: Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.
- Data Security: Help design access controls and security measures to protect sensitive data.
- Advanced Querying: Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.
- Agile Collaboration: Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.
- Domain Expertise: Build strong knowledge of business systems and data domains to support strategic initiatives.
- Continuous Learning: Stay current with evolving technologies and industry trends in data modeling and analytics.
What You’ll Bring
- Education: Bachelor’s degree in computer science, a related field, or equivalent practical experience.
- Experience: 7+ years of experience in data modeling, data warehousing, and ETL processes.
Required
- Data Modeling Expertise: Strong hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.
- Technical Skills: Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.
- Data Engineering Knowledge: Experience with data pipelines using ETL or Extract, Load, Transform (ELT) techniques and tools such as Azure Data Factory (ADF) to load data into analytics data marts, data warehouses and data lakes. Experience with analytics data platforms such as Azure Synapse Analytics, OneLake or Microsoft Fabric.
- Analytics & BI Tools: Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.
- Programming & Scripting: Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.
- Data Governance & Security: Understanding of data governance principles, access controls, and data protection best practices.
- Business Acumen: Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.
- Collaboration & Communication: Strong problem-solving, interpersonal, and communication skills with the ability to work cross-functionally.
- Work Style: Highly organized, self-motivated, and able to thrive in a fast-paced, Agile project environment managing multiple priorities.
If you’re ready to help shape how data drives smarter decisions and deliver impactful insights as a Business Intelligence Data Modeler Engineer II, we’d love to hear from you!
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.
LI-Hybrid #LI-CF1
About Kirkland & Ellis
At Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You’ll Do
Are you passionate about turning complex data into meaningful insights that drive business decisions?
As a Business Intelligence Data Modeler Engineer II, you’ll play a critical role in shaping how data is structured, accessed, and for enterprise business intelligence. Partnering closely with business analysts, data engineers, and business stakeholders, you’ll design and support development of data models that power reporting, analytics. This role blends technical expertise with business insight, giving you the opportunity to influence how data supports enterprise-wide decision-making.
- Data Modeling Design: Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.
- Business Partnership: Collaborate with stakeholders to translate business needs into scalable data structures and solutions.
- ETL Development Support: Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.
- Data Quality & Validation: Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.
- Performance Optimization: Continuously monitor and refine data models and database performance for efficient querying and reporting.
- Documentation & Governance: Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.
- Data Security: Help design access controls and security measures to protect sensitive data.
- Advanced Querying: Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.
- Agile Collaboration: Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.
- Domain Expertise: Build strong knowledge of business systems and data domains to support strategic initiatives.
- Continuous Learning: Stay current with evolving technologies and industry trends in data modeling and analytics.
What You’ll Bring
- Education: Bachelor’s degree in computer science, a related field, or equivalent practical experience.
- Experience: 7+ years of experience in data modeling, data warehousing, and ETL processes.
Required
- Data Modeling Expertise: Strong hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.
- Technical Skills: Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.
- Data Engineering Knowledge: Experience with data pipelines using ETL or Extract, Load, Transform (ELT) techniques and tools such as Azure Data Factory (ADF) to load data into analytics data marts, data warehouses and data lakes. Experience with analytics data platforms such as Azure Synapse Analytics, OneLake or Microsoft Fabric.
- Analytics & BI Tools: Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.
- Programming & Scripting: Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.
- Data Governance & Security: Understanding of data governance principles, access controls, and data protection best practices.
- Business Acumen: Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.
- Collaboration & Communication: Strong problem-solving, interpersonal, and communication skills with the ability to work cross-functionally.
- Work Style: Highly organized, self-motivated, and able to thrive in a fast-paced, Agile project environment managing multiple priorities.
If you’re ready to help shape how data drives smarter decisions and deliver impactful insights as a Business Intelligence Data Modeler Engineer II, we’d love to hear from you!
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.
LI-Hybrid #LI-CF1
See all 6,310+ BI Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new BI Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a BI Analyst
Earn Tableau or Power BI certification
The Tableau Desktop Specialist or Certified Data Analyst credential validates your visualization expertise. For Microsoft-aligned employers, the PL-300 Power BI certification serves the same purpose. These certifications are often listed as preferred qualifications in BI analyst job postings and help differentiate sponsored candidates.
Develop semantic layer and data modeling skills
BI analysts who can design semantic layers, define business metrics, and build governed data models bring more value than those who only create dashboards. Experience with LookML in Looker or calculated fields and parameters in Tableau shows you can structure data for enterprise-wide self-service analytics.
Target companies with mature BI teams
Enterprise companies like Salesforce, Deloitte, Accenture, and major banks maintain dedicated BI teams with multiple analysts. These organizations have the scale and immigration infrastructure to support visa sponsorship for BI professionals, especially those who can own end-to-end dashboard delivery.
Build a public portfolio of dashboards
Tableau Public lets you publish interactive dashboards that hiring managers can review immediately. A portfolio demonstrating clean design, effective data storytelling, and handling of real-world datasets is more persuasive than listing Tableau as a resume skill.
Frequently Asked Questions
What is the difference between a BI analyst and a data analyst for visa sponsorship?
BI analysts focus specifically on building dashboards, reports, and data visualizations that support business decision-making. Data analysts have a broader scope that may include statistical analysis, ad hoc research, and predictive modeling. Both qualify for H-1B visa sponsorship, but BI analyst positions emphasize tool-specific expertise in platforms like Tableau, Power BI, or Looker.
Which BI tools are most important for sponsored roles?
Tableau, Power BI, and Looker are the three most requested BI tools in the U.S. market. Tableau dominates in tech and consulting, Power BI is prevalent in Microsoft-aligned enterprises, and Looker is common at Google Cloud customers. Proficiency in at least one platform, combined with strong SQL skills, is typically expected for sponsored BI analyst positions.
How to find BI Analyst jobs with visa sponsorship?
To find BI Analyst jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, consulting firms, and financial services organizations that frequently hire BI professionals on H-1B, L-1 visa, or O-1 visas. Filter searches by companies known for sponsoring data analytics roles and highlight your technical skills in business intelligence tools.
Do BI analyst roles qualify for STEM OPT?
BI analyst roles can qualify for STEM OPT if your degree is in a STEM-designated field like computer science, information systems, or data science. Not all business or analytics degrees carry STEM designation, so verify your specific program's CIP code with your university's international student office before relying on the extension.
What industries hire the most BI analysts on work visas?
Technology, financial services, healthcare, and management consulting are the primary industries hiring BI analysts with visa sponsorship. Large enterprises with complex data ecosystems need BI analysts to make data accessible across departments. Consulting firms also hire BI analysts for client-facing implementation projects.
What is the prevailing wage requirement for sponsored BI Analyst jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a bi analyst in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.