Business Intelligence Analyst Jobs in USA with Visa Sponsorship
Business Intelligence Analysts are strong H-1B visa and L-1 visa candidates, the role consistently qualifies as a specialty occupation requiring a degree in computer science, information systems, or a related field. Many employers sponsor directly, particularly in finance, healthcare, and tech. For detailed occupation requirements, see the O*NET profile.
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The Senior Decision Intelligence Engineer is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA Decision Intelligence Platform.
This role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. You will help ensure the platform selects the right action for the right member while respecting clinical eligibility, suppression rules, channel constraints, program goals, and operational capacity.
You will work closely with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable production systems.
ML Pipeline and MLOps Development
- Build and maintain production pipelines for feature generation, model training, evaluation, scoring, deployment, and monitoring.
- Develop reusable pipeline components using Python, PySpark, Databricks, Delta Lake, and MLflow.
- Support CI/CD, automated validation, model versioning, artifact management, rollback, and release workflows.
- Monitor model performance, data quality, drift, scoring outcomes, and operational health.
- Troubleshoot production issues across feature pipelines, scoring jobs, model artifacts, and downstream integrations.
Feature Engineering and Scoring
- Build and maintain member feature pipelines using clinical, behavioral, engagement, operational, web clickstream, and socioeconomic data.
- Ensure features are reproducible, auditable, governed, and performant within the Databricks Lakehouse.
- Operate batch and near-real-time scoring workflows that support personalized outreach across email, SMS, direct mail, digital, and care team channels.
- Integrate model outputs into decisioning platforms, campaign systems, and operational workflows.
Decisioning and Optimization
- Contribute to optimization logic for next-best-action selection, constrained ranking, member prioritization, and resource allocation.
- Translate business and clinical rules into structured constraints, scoring adjustments, objective functions, and prioritization logic.
- Help balance member relevance, program objectives, outreach limits, channel availability, eligibility rules, suppression periods, and operational capacity.
- Monitor decisioning behavior for scoring anomalies, constraint violations, data issues, and SLA risks.
Experimentation, Safety, and Governance
- Support A/B testing, holdout testing, and measurement workflows for evaluating model and decisioning effectiveness.
- Build automated evaluation gates to prevent underperforming models or scoring workflows from being promoted.
- Validate output quality, action distributions, rule alignment, and downstream decision behavior before production release.
- Document pipeline behavior, assumptions, known limitations, and operational runbooks.
- Support compliance, auditability, explainability, and privacy expectations in a regulated healthcare environment.
Collaboration and Engineering Practices
- Partner with ML engineering, data engineering, platform, product, rules engine, and decision engine teams.
- Participate in design reviews, code reviews, operational readiness reviews, and production support.
- Communicate implementation tradeoffs, production risks, optimization assumptions, and delivery status clearly.
- Use AI-assisted engineering tools such as GitHub Copilot, Claude, or similar platforms to improve development speed and quality.
Use your skills to make an impact
Requirements
- 5+ years of experience in machine learning engineering, MLOps, data engineering, platform engineering, optimization engineering, or related software engineering roles.
- Strong hands-on experience with Python, PySpark, SQL, and distributed data processing.
- Experience building and operating production ML pipelines using Databricks, MLflow, Airflow, or equivalent platforms.
- Experience with CI/CD, testing, observability, deployment automation, model monitoring, and production support.
- Experience with cloud-based data platforms such as Databricks, Snowflake, AWS, Azure, or GCP.
- Familiarity with model lifecycle management, experiment tracking, artifact versioning, and release workflows.
- Working knowledge of optimization concepts such as constrained ranking, objective functions, threshold tuning, prioritization, or capacity constraints.
- Ability to translate business rules and operational constraints into reliable production logic.
- Strong troubleshooting skills and ability to operate effectively in complex production environments.
- Clear communication skills and ability to collaborate across technical and non-technical teams.
Preferred
- Experience with personalization, recommendation systems, next-best-action platforms, or decisioning engines.
- Experience with constrained optimization, linear programming, mixed-integer programming, heuristic optimization, or simulation-based evaluation.
- Familiarity with optimization tools such as OR-Tools, SciPy Optimize, PuLP, Pyomo, Gurobi, or equivalent.
- Knowledge of Databricks Lakehouse, Unity Catalog, Delta Lake, Jobs Workflows, and MLflow.
- Experience with Kafka, event-driven pipelines, streaming data, or feedback-loop design.
- Experience in healthcare, insurance, or other regulated environments involving PHI, HIPAA, auditability, and explainability.
- Experience with feature stores, real-time inference, OpenTelemetry, Terraform, or production observability tooling.
Work Style: Remote/Hybrid - Preferably Boston, MA.
Occasional travel to Humana's offices for training or meetings may be required.
Work Hours: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week - some flexibility might be possible, depending on business needs.
Work at Home Requirements
WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided with payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Interview Format
As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.
If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.
Your on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
SSN Task via Workday
Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.
Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$106,900 - $147,000 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Become a part of our caring community
The Senior Decision Intelligence Engineer is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA Decision Intelligence Platform.
This role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. You will help ensure the platform selects the right action for the right member while respecting clinical eligibility, suppression rules, channel constraints, program goals, and operational capacity.
You will work closely with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable production systems.
ML Pipeline and MLOps Development
- Build and maintain production pipelines for feature generation, model training, evaluation, scoring, deployment, and monitoring.
- Develop reusable pipeline components using Python, PySpark, Databricks, Delta Lake, and MLflow.
- Support CI/CD, automated validation, model versioning, artifact management, rollback, and release workflows.
- Monitor model performance, data quality, drift, scoring outcomes, and operational health.
- Troubleshoot production issues across feature pipelines, scoring jobs, model artifacts, and downstream integrations.
Feature Engineering and Scoring
- Build and maintain member feature pipelines using clinical, behavioral, engagement, operational, web clickstream, and socioeconomic data.
- Ensure features are reproducible, auditable, governed, and performant within the Databricks Lakehouse.
- Operate batch and near-real-time scoring workflows that support personalized outreach across email, SMS, direct mail, digital, and care team channels.
- Integrate model outputs into decisioning platforms, campaign systems, and operational workflows.
Decisioning and Optimization
- Contribute to optimization logic for next-best-action selection, constrained ranking, member prioritization, and resource allocation.
- Translate business and clinical rules into structured constraints, scoring adjustments, objective functions, and prioritization logic.
- Help balance member relevance, program objectives, outreach limits, channel availability, eligibility rules, suppression periods, and operational capacity.
- Monitor decisioning behavior for scoring anomalies, constraint violations, data issues, and SLA risks.
Experimentation, Safety, and Governance
- Support A/B testing, holdout testing, and measurement workflows for evaluating model and decisioning effectiveness.
- Build automated evaluation gates to prevent underperforming models or scoring workflows from being promoted.
- Validate output quality, action distributions, rule alignment, and downstream decision behavior before production release.
- Document pipeline behavior, assumptions, known limitations, and operational runbooks.
- Support compliance, auditability, explainability, and privacy expectations in a regulated healthcare environment.
Collaboration and Engineering Practices
- Partner with ML engineering, data engineering, platform, product, rules engine, and decision engine teams.
- Participate in design reviews, code reviews, operational readiness reviews, and production support.
- Communicate implementation tradeoffs, production risks, optimization assumptions, and delivery status clearly.
- Use AI-assisted engineering tools such as GitHub Copilot, Claude, or similar platforms to improve development speed and quality.
Use your skills to make an impact
Requirements
- 5+ years of experience in machine learning engineering, MLOps, data engineering, platform engineering, optimization engineering, or related software engineering roles.
- Strong hands-on experience with Python, PySpark, SQL, and distributed data processing.
- Experience building and operating production ML pipelines using Databricks, MLflow, Airflow, or equivalent platforms.
- Experience with CI/CD, testing, observability, deployment automation, model monitoring, and production support.
- Experience with cloud-based data platforms such as Databricks, Snowflake, AWS, Azure, or GCP.
- Familiarity with model lifecycle management, experiment tracking, artifact versioning, and release workflows.
- Working knowledge of optimization concepts such as constrained ranking, objective functions, threshold tuning, prioritization, or capacity constraints.
- Ability to translate business rules and operational constraints into reliable production logic.
- Strong troubleshooting skills and ability to operate effectively in complex production environments.
- Clear communication skills and ability to collaborate across technical and non-technical teams.
Preferred
- Experience with personalization, recommendation systems, next-best-action platforms, or decisioning engines.
- Experience with constrained optimization, linear programming, mixed-integer programming, heuristic optimization, or simulation-based evaluation.
- Familiarity with optimization tools such as OR-Tools, SciPy Optimize, PuLP, Pyomo, Gurobi, or equivalent.
- Knowledge of Databricks Lakehouse, Unity Catalog, Delta Lake, Jobs Workflows, and MLflow.
- Experience with Kafka, event-driven pipelines, streaming data, or feedback-loop design.
- Experience in healthcare, insurance, or other regulated environments involving PHI, HIPAA, auditability, and explainability.
- Experience with feature stores, real-time inference, OpenTelemetry, Terraform, or production observability tooling.
Work Style: Remote/Hybrid - Preferably Boston, MA.
Occasional travel to Humana's offices for training or meetings may be required.
Work Hours: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week - some flexibility might be possible, depending on business needs.
Work at Home Requirements
WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided with payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Interview Format
As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.
If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.
Your on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
SSN Task via Workday
Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.
Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$106,900 - $147,000 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
See all 6,258+ Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Analyst
Frame your degree as a match for the role
BI Analyst positions require a degree in a specific field, computer science, information systems, statistics, or business analytics. If your degree is adjacent, document how your coursework directly supports the analytical and data modeling work the role demands.
Target industries with established sponsorship track records
Finance, healthcare, retail, and enterprise software companies file the most LCAs for BI Analysts. These industries have HR infrastructure for sponsorship and recurring hiring needs, which means faster decisions and less internal resistance when visa support comes up.
Highlight tools and certifications that strengthen your petition
Proficiency in SQL, Python, Tableau, Power BI, or dbt signals specialized technical knowledge. USCIS looks for evidence of specialized training. Certifications from recognized vendors can support the specialty occupation case your employer's attorney will build.
Raise sponsorship after demonstrating value in the interview
Bring up visa sponsorship after you've walked through your technical skills and portfolio. Employers who see your specific experience with data pipelines or dashboard design are far more willing to absorb the sponsorship cost than those evaluating an unknown candidate.
Distinguish between H-1B cap-subject and cap-exempt employers
Universities, nonprofit research institutions, and affiliated entities are exempt from the H-1B lottery. BI Analyst roles exist in these settings, research operations, data governance, enrollment analytics. Cap-exempt employers can file year-round with no selection uncertainty.
Use Migrate Mate to find roles that already confirm sponsorship
Filtering to verified sponsoring employers on Migrate Mate saves you from applying to roles where sponsorship is undisclosed or unlikely. Every job on the platform is screened for sponsorship history, so you're not guessing which companies will actually support your visa.
Frequently Asked Questions
Does a Business Intelligence Analyst role qualify as a specialty occupation for the H-1B?
Yes. BI Analyst positions consistently qualify because they require a bachelor's degree or higher in a specific field, typically computer science, information systems, statistics, or business analytics. USCIS has approved thousands of H-1B visa petitions for this title. The key is that the role must require that specific degree, not just any bachelor's degree, so the job description and petition letter both matter.
What degree do I need to qualify for H-1B sponsorship as a BI Analyst?
A bachelor's degree in computer science, information systems, data science, statistics, mathematics, or business analytics is the clearest path. Degrees in adjacent fields like economics or engineering can work if your coursework included quantitative methods and data analysis. A general business degree without a technical concentration is harder to use, your employer's attorney will need to argue the connection carefully.
Which types of employers sponsor BI Analysts most often?
Financial services firms, large health systems, enterprise software companies, and major retailers file the most Labor Condition Applications for BI Analyst roles. Consulting firms that embed analysts at client sites also sponsor frequently. Mid-market companies with mature data teams are increasingly sponsoring too. Browse Migrate Mate to find employers with verified H-1B sponsorship history specifically for analytical and data roles.
Can I transfer my H-1B to a new BI Analyst role at a different company?
Yes. H-1B portability allows you to start working for a new employer as soon as they file a transfer petition, as long as your previous H-1B was approved and you've maintained valid status. The new employer files a fresh I-129, and you don't re-enter the lottery. The role must still qualify as a specialty occupation, which BI Analyst roles reliably do.
Does the H-1B lottery affect my chances of getting sponsored as a BI Analyst?
It does if your target employer is cap-subject, which most private companies are. The annual selection rate has been around 25% in recent years, meaning no guarantee even with a strong petition. To reduce lottery risk, consider cap-exempt employers, universities and certain nonprofits hire BI Analysts for institutional research and data operations and can file year-round without lottery exposure.
What is the prevailing wage requirement for sponsored Business Intelligence Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.