STEM OPT Business Intelligence Engineer Jobs
Business Intelligence Engineer roles in data warehousing, ETL pipeline development, and analytics platforms qualify for the STEM OPT extension, giving you up to 24 additional months of work authorization beyond your initial OPT. Your employer must be enrolled in E-Verify, and your degree must align with an approved STEM CIP code to qualify.
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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 Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Business Intelligence Engineer
Verify your CIP code before applying
Pull your degree's CIP code from your I-20 and cross-reference it against the STEM Designated Degree Program List published by USCIS. Computer Science, Information Systems, and Statistics codes typically qualify for BI Engineer roles, but Data Analytics programs vary by institution.
Confirm E-Verify enrollment before accepting offers
Ask your recruiter for the employer's E-Verify Company ID or look up their participation status through the E-Verify employer search. A company that isn't enrolled can't legally sign your I-983 training plan, which voids your extension eligibility entirely.
Align your I-983 training goals to BI deliverables
When drafting your I-983, map each learning objective to specific BI outputs: dashboard builds, data model design, or SQL pipeline work. DSOs flag vague training plans, and a well-structured I-983 tied to real project milestones speeds DSO approval significantly.
Target employers with active DOL LCA filings for BI roles
Search Migrate Mate to filter employers by verified DOL Labor Condition Application filings in BI-related SOC codes. Employers with recent LCA history for data or analytics roles have already navigated STEM OPT hiring and are far less likely to withdraw offers over authorization complexity.
Check prevailing wage requirements for your target market
Use the OFLC Wage Search to look up the prevailing wage for your SOC code and the metro area where the role is based. BI Engineer salaries vary sharply by region, and knowing the DOL wage floor helps you identify whether an offer is structured to support future H-1B visa sponsorship.
Use O*NET to substantiate your specialty occupation argument
Pull the O*NET occupation profile for Business Intelligence Analysts or Data Engineers and note the listed education requirements. This documentation strengthens your case if an employer's HR team questions whether your BI role qualifies as a specialty occupation for cap-gap or H-1B transition purposes.
Frequently Asked Questions
Does a Business Intelligence Engineer role qualify for the STEM OPT extension?
Yes, provided two conditions are met. First, your degree must be listed on the STEM Designated Degree Program List maintained by USCIS, which includes most Computer Science, Information Systems, Engineering, and Statistics programs. Second, the BI Engineer role must directly relate to your degree field. Your DSO makes the final determination when approving your I-983 training plan.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify before you begin STEM OPT employment. This isn't optional. If they enroll after you start, the extension is still invalid for that period. Confirm enrollment before signing an offer by asking for the company's E-Verify Company ID, or verify their status directly through E-Verify's employer search tool.
How do I find Business Intelligence Engineer jobs where employers are already set up for STEM OPT?
Browse Business Intelligence Engineer listings on Migrate Mate, which filters employers by verified E-Verify enrollment and DOL Labor Condition Application filing history. Targeting employers with existing LCA filings in data and analytics roles means the hiring team has already worked through STEM OPT paperwork and won't need to build the process from scratch around your offer.
What should my I-983 training plan include for a BI Engineer position?
Your I-983 must describe specific training goals tied to your BI work, not just your job title. List concrete deliverables such as building dimensional data models, developing ETL pipelines, or designing executive dashboards. Each goal should connect back to your STEM degree field. Your employer's supervisor signs off on the plan, and your DSO reviews it before authorizing the extension.
What happens to my work authorization if my STEM OPT expires while an H-1B petition is pending?
If your employer filed an H-1B petition on your behalf before your STEM OPT end date and the petition is still pending, cap-gap protection extends your OPT authorization through September 30 of that fiscal year. If the H-1B is selected and approved, your status transitions on October 1. USCIS publishes cap-gap guidance each registration cycle confirming the specific conditions that apply.