STEM OPT Senior Business Intelligence Engineer Jobs
Senior Business Intelligence Engineer roles qualify for the STEM OPT 24-month extension if your degree is in a STEM-designated CIP code such as computer science, statistics, or information systems. Your employer must be enrolled in E-Verify, and you'll need an approved I-983 training plan before your extension begins.
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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 Senior Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Business Intelligence Engineer
Verify your CIP code before applying
Check your degree's CIP code against the DHS STEM Designated Degree Program List before targeting roles. Business analytics and management information systems degrees qualify; a general business degree often does not, even if your coursework was quantitative.
Confirm E-Verify enrollment before accepting offers
Ask recruiters for the company's E-Verify company ID or look up enrollment status through the E-Verify employer search. A company that isn't enrolled cannot legally employ you on a STEM OPT extension, regardless of how willing they are to sponsor.
Build a portfolio of SQL and BI deliverables now
Hiring managers for Senior BI Engineer roles screen for production-level dashboards, data modeling schemas, and query optimization examples. A GitHub repository with documented ETL pipelines or Power BI reports signals you can contribute from day one, which reduces employer hesitation around OPT timelines.
Target employers with active H-1B LCA history
Use Migrate Mate to filter Senior Business Intelligence Engineer roles by employers with verified DOL Labor Condition Application filing history. Companies that have filed LCAs for BI or data engineering roles have already navigated the visa sponsorship process and understand the requirements.
Negotiate your I-983 training plan during the offer stage
The I-983 must specify learning objectives tied to your BI role, such as developing dimensional data models or leading cross-functional reporting initiatives. Raise this document during offer negotiation, not after signing, so HR and your direct manager align on the formal training structure USCIS expects.
Apply 90 days before your OPT expiration date
USCIS requires your STEM OPT extension application to be filed no earlier than 90 days before your current EAD expires. Coordinate with your DSO to submit the I-765 within that window so you maintain continuous work authorization without a gap between your initial OPT and the extension.
Frequently Asked Questions
Does a Senior Business Intelligence Engineer role qualify for the STEM OPT extension?
Yes, if your job duties involve applying STEM knowledge, such as building data pipelines, designing dimensional models, or developing analytics infrastructure. The role itself must connect directly to your STEM degree field. Your DSO will confirm the match when approving your I-983 training plan, which formally documents how the position develops your technical skills.
Which STEM degrees make me eligible for the STEM OPT extension in a BI engineering role?
Degrees in computer science, information systems, statistics, applied mathematics, data science, or computer engineering are commonly accepted. Check your degree's CIP code against the DHS STEM Designated Degree Program List. General business or management degrees without a quantitative or technical focus typically do not qualify, even if you completed data-heavy coursework during your program.
What does the I-983 training plan need to include for a Senior BI Engineer position?
Your I-983 must outline specific learning goals tied to the BI role, such as mastering cloud data warehouse architecture, building automated reporting systems, or leading data governance initiatives. Both you and your employer sign it, and USCIS can audit compliance. Vague objectives that don't connect to your technical degree field are a common reason training plans get flagged.
How do I find Senior Business Intelligence Engineer employers enrolled in E-Verify?
You can search employer enrollment status through the E-Verify employer search tool. Migrate Mate also surfaces Senior Business Intelligence Engineer roles at employers with active visa sponsorship history, so you can prioritize companies already familiar with the STEM OPT compliance requirements, including E-Verify enrollment and I-983 reporting obligations.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment after I start?
If your employer's E-Verify participation terminates while you're on STEM OPT, your work authorization is at risk. You must report employer changes to your DSO within five days and file an updated I-983. If the employer cannot restore enrollment, you'll need to find a new E-Verify-enrolled employer or your STEM OPT extension may be invalidated by USCIS.