STEM OPT Business Intelligence Analyst Jobs
Business Intelligence Analyst roles sit squarely within STEM OPT eligibility, drawing on degrees in computer science, information systems, statistics, and related fields. Your 24-month STEM OPT extension applies here, giving you up to 36 months total to work for an E-Verify-enrolled employer while building the filing history that strengthens your long-term visa path.
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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 Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Business Intelligence Analyst Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Business Intelligence Analyst
Verify your CIP code before applying
Pull your degree's Classification of Instructional Programs code from your transcript or DSO and cross-reference it against STEM-designated fields on the DHS STEM list. Business intelligence roles most commonly align with CIP codes under computer science, information science, or statistics.
Filter job postings by E-Verify status
Before submitting any application, confirm the employer is actively enrolled in E-Verify, not just registered. Search the E-Verify employer search tool by company name to check current participation status. An expired or inactive enrollment disqualifies them as a STEM OPT employer.
Target employers with LCA filings in analytics roles
Use the OFLC Wage Search to identify companies that have filed Labor Condition Applications for data analyst or business intelligence titles. Consistent LCA history in these SOC codes signals an employer already understands STEM worker authorization and prevailing wage obligations.
Build your I-983 training plan around BI deliverables
Your I-983 must connect your STEM degree to concrete on-the-job learning goals. Map training objectives to specific BI outputs: dashboard development, ETL pipeline ownership, SQL query optimization, or predictive modeling projects that tie directly to your degree's coursework.
Use Migrate Mate to find BI roles at verified sponsors
Search Migrate Mate for Business Intelligence Analyst positions filtered to employers with active E-Verify enrollment and DOL filing history in analytics occupations. This cuts the research time spent manually cross-checking sponsorship eligibility for each application.
Negotiate your offer start date around OPT timing
If your initial 12-month OPT expires before your STEM extension is approved, cap-gap protection keeps you authorized through October 1 only if an H-1B visa petition was timely filed. Align your offer letter start date with your DSO's recommended filing window to avoid authorization gaps.
Frequently Asked Questions
Does a Business Intelligence Analyst role qualify for the STEM OPT extension?
Yes, if your degree falls under a STEM-designated CIP code and the role directly applies that field of study. Degrees in computer science, information systems, statistics, and mathematics commonly support BI analyst positions. Your DSO confirms eligibility based on your specific degree program and CIP code, not the job title alone.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify at the worksite where you perform your duties. Enrollment at headquarters does not automatically cover remote or satellite locations. Confirm site-level E-Verify status before signing your offer, because working for a non-enrolled employer invalidates your STEM OPT authorization and puts your F-1 status at risk.
How do I find Business Intelligence Analyst jobs with employers who sponsor STEM OPT?
Migrate Mate surfaces Business Intelligence Analyst openings filtered to employers with E-Verify enrollment and documented DOL Labor Condition Application filings in analytics-related occupations. This lets you focus applications on companies already familiar with STEM OPT obligations rather than spending hours cross-checking each employer's sponsorship history manually.
What goes into the I-983 training plan for a BI analyst position?
The I-983 training plan must identify specific learning objectives tied to your STEM degree and describe how your daily work advances those goals. For a BI analyst, that means listing concrete activities like building data pipelines, developing executive dashboards, or applying statistical modeling, and explaining how each connects to your degree's curriculum. Your employer supervisor co-signs the plan and USCIS requires it on file before your extension begins.
What happens to my work authorization if my H-1B petition is filed while I'm on STEM OPT?
If your employer files a timely H-1B cap-subject petition before your STEM OPT expires, cap-gap protection automatically extends your work authorization through September 30 of that fiscal year, or through October 1 if the petition is selected and approved. You must remain continuously employed by the same E-Verify-enrolled employer throughout the cap-gap period, and your EAD must still show a valid unexpired date when the petition is filed.