STEM OPT Business Intelligence Jobs
Business Intelligence roles in data analytics, reporting, and data warehousing qualify for STEM OPT authorization when your degree is in a qualifying STEM field. Your 24-month extension gives you up to 36 months total to work for any E-Verify-enrolled employer, with a signed I-983 training plan in place before your start date.
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Get Access To All JobsAre you ready to make a difference? Choose to work for one of the most trusted companies in Kansas.
You Belong At Blue
Why Join Us?
- Make a Positive Impact: Your work will directly contribute to the health and well-being of Kansans.
- Family Comes First: Total rewards package that promotes the idea of family first for all employees. Paid vacation and sick leave with paid maternity and paternity available immediately upon hire.
- Professional Growth Opportunities: Advance your career with ongoing training and development programs.
- Dynamic Work Environment: Collaborate with a team of passionate and driven individuals in a work environment that promotes flexibility.
- Trust and Stability: Work for one of the most trusted companies in Kansas with over 80 years of commitment, compassion, and community.
- Inclusive Work Environment: We pride ourselves on fostering a workplace where everyone is valued and respected.
Benefits & Perks
- Base compensation is only one component of your competitive Total Rewards package
- Incentive pay program (EPIP)
- Health/Vision/Dental insurance
- 6 weeks paid parental leave for new mothers and fathers
- Fertility/Adoption assistance
- 2 weeks paid caregiver leave
- 401(k) plan matching up to 5%
- Tuition reimbursement
- Health & fitness benefits, discounts, and resources
Job Summary
The Business Intelligence (BI) Data Scientist will be responsible for analyzing complex data sets, developing models and algorithms, and deriving actionable insights to support strategic business decisions. The BI Data Scientist will work closely with cross-functional teams, including finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources, to understand business needs and deliver data-driven solutions.
“This position is eligible to work remote, hybrid or onsite in accordance with our Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment.”
What you’ll do
- Data Analysis & Interpretation: Analyze large and complex data sets from various sources to identify trends, patterns, and correlations. Translate data findings into actionable insights and recommendations.
- Model Development: Develop, test, and deploy predictive and prescriptive models and scenario forecasting using machine learning and statistical techniques. Continuously evaluate and improve model performance.
- Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to both technical and non-technical stakeholders.
- Collaborate & Communicate: Work with business stakeholders to understand their needs and translate them into data-driven solutions. Present findings and recommendations in a clear and concise manner. Support teammates by maintaining up-to-date, thorough, and clear documentation on data sources, preparation processes, mathematical models, dashboards, and other business intelligence activities.
- Data Management: Ensure data quality, integrity, and security. Develop and implement processes for data collection, cleaning, and preparation.
- Research & Innovation: Stay current with the latest industry trends, tools, and technologies. Explore and implement new methodologies to enhance data analysis capabilities.
What you need
Education and Experience:
- Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related field required.
- Minimum of 3 years' experience as a data analyst, data scientist, or related roles required.
- Experience with and knowledge of the healthcare delivery system and the health insurance industry preferred.
- Master's degree or higher preferred.
Knowledge/Skills/Abilities
- Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation tools (e.g., SQL, pandas). An understanding of data warehouse structures, data extraction tools, analytics software and methods, and data modeling. Experience with big data and cloud platforms (e.g., AWS, Azure, Google Cloud). Ability to identify and make sense of rich data sources, manage large amounts of data, merge datasets, ensure consistency of datasets, graphically portray data to gain insights, build statistical models, understand data and model shortcomings, and effectively communicate findings.
- Data Visualization: Familiarity with data visualization tools (e.g., Tableau, Power BI). Demonstrated experience with creating accessible, insightful, compelling, and branded data visualizations.
- Analytical Skills: Strong analytical and problem-solving abilities. Ability to interpret complex data and provide actionable insights. Ability to apply, validate, and interpret results in a variety of machine learning contexts.
- Communication Skills: Excellent verbal, visual, and written communication skills. Ability to present complex data and insights to non-technical stakeholders effectively.
- Decision Making: Adept at identifying underlying mathematical and statistical assumptions of a given dataset or algorithm and to implement and interpret results appropriately. Ability to make decisions using independent judgment and creativity to resolve issues and overcome roadblocks.
- Collaboration: Ability to work collaboratively with strong interpersonal skills and a proactive attitude.
Compensation
$108,640 - $135,800
Exempt Grade IT&S 17
Blue Cross and Blue Shield of Kansas offers excellent competitive compensation with the goal of retaining and growing talented team members. The compensation range for this role is a good faith estimate, it is estimated based on what a successful candidate might be paid. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive wages that align with the individual's skills, education, experience, and training. The range may vary above or below the stated amounts.
Our Commitment to Connection and Belonging
At Blue Cross and Blue Shield of Kansas, we are committed to fostering a culture of connection and belonging, where mutual respect is at the foundation of our workplace. We provide equal employment opportunities to all individuals, regardless of race, color, religion, belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical or mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military or veteran status, family or parental status, or any other characteristic protected by applicable law.
Blue Cross and Blue Shield of Kansas conducts pre-employment drug screening, criminal conviction check, employment verifications and education as part of a conditional offer of employment.
Are you ready to make a difference? Choose to work for one of the most trusted companies in Kansas.
You Belong At Blue
Why Join Us?
- Make a Positive Impact: Your work will directly contribute to the health and well-being of Kansans.
- Family Comes First: Total rewards package that promotes the idea of family first for all employees. Paid vacation and sick leave with paid maternity and paternity available immediately upon hire.
- Professional Growth Opportunities: Advance your career with ongoing training and development programs.
- Dynamic Work Environment: Collaborate with a team of passionate and driven individuals in a work environment that promotes flexibility.
- Trust and Stability: Work for one of the most trusted companies in Kansas with over 80 years of commitment, compassion, and community.
- Inclusive Work Environment: We pride ourselves on fostering a workplace where everyone is valued and respected.
Benefits & Perks
- Base compensation is only one component of your competitive Total Rewards package
- Incentive pay program (EPIP)
- Health/Vision/Dental insurance
- 6 weeks paid parental leave for new mothers and fathers
- Fertility/Adoption assistance
- 2 weeks paid caregiver leave
- 401(k) plan matching up to 5%
- Tuition reimbursement
- Health & fitness benefits, discounts, and resources
Job Summary
The Business Intelligence (BI) Data Scientist will be responsible for analyzing complex data sets, developing models and algorithms, and deriving actionable insights to support strategic business decisions. The BI Data Scientist will work closely with cross-functional teams, including finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources, to understand business needs and deliver data-driven solutions.
“This position is eligible to work remote, hybrid or onsite in accordance with our Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment.”
What you’ll do
- Data Analysis & Interpretation: Analyze large and complex data sets from various sources to identify trends, patterns, and correlations. Translate data findings into actionable insights and recommendations.
- Model Development: Develop, test, and deploy predictive and prescriptive models and scenario forecasting using machine learning and statistical techniques. Continuously evaluate and improve model performance.
- Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to both technical and non-technical stakeholders.
- Collaborate & Communicate: Work with business stakeholders to understand their needs and translate them into data-driven solutions. Present findings and recommendations in a clear and concise manner. Support teammates by maintaining up-to-date, thorough, and clear documentation on data sources, preparation processes, mathematical models, dashboards, and other business intelligence activities.
- Data Management: Ensure data quality, integrity, and security. Develop and implement processes for data collection, cleaning, and preparation.
- Research & Innovation: Stay current with the latest industry trends, tools, and technologies. Explore and implement new methodologies to enhance data analysis capabilities.
What you need
Education and Experience:
- Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related field required.
- Minimum of 3 years' experience as a data analyst, data scientist, or related roles required.
- Experience with and knowledge of the healthcare delivery system and the health insurance industry preferred.
- Master's degree or higher preferred.
Knowledge/Skills/Abilities
- Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation tools (e.g., SQL, pandas). An understanding of data warehouse structures, data extraction tools, analytics software and methods, and data modeling. Experience with big data and cloud platforms (e.g., AWS, Azure, Google Cloud). Ability to identify and make sense of rich data sources, manage large amounts of data, merge datasets, ensure consistency of datasets, graphically portray data to gain insights, build statistical models, understand data and model shortcomings, and effectively communicate findings.
- Data Visualization: Familiarity with data visualization tools (e.g., Tableau, Power BI). Demonstrated experience with creating accessible, insightful, compelling, and branded data visualizations.
- Analytical Skills: Strong analytical and problem-solving abilities. Ability to interpret complex data and provide actionable insights. Ability to apply, validate, and interpret results in a variety of machine learning contexts.
- Communication Skills: Excellent verbal, visual, and written communication skills. Ability to present complex data and insights to non-technical stakeholders effectively.
- Decision Making: Adept at identifying underlying mathematical and statistical assumptions of a given dataset or algorithm and to implement and interpret results appropriately. Ability to make decisions using independent judgment and creativity to resolve issues and overcome roadblocks.
- Collaboration: Ability to work collaboratively with strong interpersonal skills and a proactive attitude.
Compensation
$108,640 - $135,800
Exempt Grade IT&S 17
Blue Cross and Blue Shield of Kansas offers excellent competitive compensation with the goal of retaining and growing talented team members. The compensation range for this role is a good faith estimate, it is estimated based on what a successful candidate might be paid. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive wages that align with the individual's skills, education, experience, and training. The range may vary above or below the stated amounts.
Our Commitment to Connection and Belonging
At Blue Cross and Blue Shield of Kansas, we are committed to fostering a culture of connection and belonging, where mutual respect is at the foundation of our workplace. We provide equal employment opportunities to all individuals, regardless of race, color, religion, belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical or mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military or veteran status, family or parental status, or any other characteristic protected by applicable law.
Blue Cross and Blue Shield of Kansas conducts pre-employment drug screening, criminal conviction check, employment verifications and education as part of a conditional offer of employment.
See all 579+ STEM OPT Business Intelligence Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Business Intelligence Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in Business Intelligence
Verify your CIP code before applying
Check your degree's Classification of Instructional Programs code against STEM OPT's designated program list. Business Analytics, Management Information Systems, and Computer Science CIP codes typically qualify, but degrees labeled 'Business Administration' often don't without a STEM concentration.
Confirm E-Verify enrollment before accepting offers
Ask recruiters for the employer's E-Verify Company ID or verify enrollment directly through E-Verify's search portal. BI teams at large enterprises are almost always enrolled, but boutique analytics consulting firms and startups frequently aren't.
Map your I-983 training plan to BI competencies
Your training plan must connect your daily BI tasks, such as ETL pipeline development or dashboard engineering in Tableau or Power BI, to specific learning objectives tied to your STEM degree. Generic job descriptions get rejected by DSOs.
Use O*NET to strengthen specialty occupation arguments
Pull the O*NET occupation profile for Business Intelligence Analysts to document the degree requirements and technical skills standard to the role. This evidence supports your employer's LCA filing and helps preempt any USCIS scrutiny about whether BI qualifies as a specialty occupation.
Search Migrate Mate to target BI roles at verified sponsors
Migrate Mate surfaces Business Intelligence positions at employers with active STEM OPT and H-1B visa filing histories, so you're not guessing which companies will actually process your authorization paperwork once you've accepted an offer.
Time your H-1B registration to protect your cap-gap
If your OPT end date falls between April 1 and October 1, cap-gap rules let you keep working while your H-1B petition is pending. Your employer must file before your EAD expires, so confirm their timeline with HR well before your authorization ends.
Frequently Asked Questions
Does my degree qualify me for the STEM OPT extension in a Business Intelligence role?
Your degree's CIP code determines eligibility, not your job title. Degrees in Computer Science, Information Systems, Business Analytics, Statistics, or Data Science typically appear on the STEM designated degree program list. A general Business Administration degree usually doesn't qualify unless it carries a STEM concentration with a separate CIP code. Confirm your CIP code with your DSO before applying.
What goes into an I-983 training plan for a Business Intelligence position?
Your I-983 must identify specific learning objectives tied to your STEM degree, not just your job responsibilities. For BI roles, that means documenting how tasks like dimensional modeling, SQL optimization, or building KPI dashboards in tools such as Power BI or Looker advance skills in data science, systems analysis, or applied statistics. Both you and your supervisor must sign it before your extension start date.
Does every employer hiring for Business Intelligence roles need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a federal requirement for all STEM OPT employers, with no exceptions for company size or industry. Before accepting any offer, verify your employer's enrollment status through E-Verify's official employer search. If they're not enrolled, they must complete enrollment before you can begin work on your STEM OPT extension.
How do I find Business Intelligence employers who actively sponsor STEM OPT students?
Migrate Mate filters Business Intelligence jobs by employers with documented STEM OPT and H-1B filing histories, so you can prioritize outreach to companies already familiar with the authorization process. This is more reliable than asking cold whether a company sponsors, since many hiring managers conflate STEM OPT with H-1B sponsorship.
What happens to my STEM OPT authorization if my H-1B petition is filed but not yet approved by the time my EAD expires?
If your employer files a timely H-1B cap-subject petition before your OPT EAD expires, cap-gap provisions extend your work authorization automatically through September 30 of that fiscal year, or until USCIS issues a decision on your petition, whichever comes first. You can continue working in your BI role during this period without a new EAD, as long as your employer maintains your employment record with USCIS.