STEM OPT Senior Business Intelligence Analyst Jobs
Senior Business Intelligence Analyst roles qualify for the 24-month STEM OPT extension when your degree is in a STEM-designated field like computer science, statistics, or information systems. Your employer must be enrolled in E-Verify, and you'll need a completed 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 Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior Business Intelligence Analyst Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Business Intelligence Analyst
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the STEM OPT designated degree list. Degrees in computer science, statistics, information systems, and applied mathematics typically qualify. Your DSO can confirm your I-20's CIP code.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether the company is enrolled in E-Verify before you reach the offer stage. An employer not enrolled in E-Verify cannot legally employ you on a STEM OPT extension, regardless of how willing they are to sponsor.
Build your I-983 training plan around BI deliverables
Your I-983 must tie your day-to-day work to your STEM degree. Map specific BI outputs like dashboard development, data pipeline design, or predictive modeling to competencies from your degree program. Vague plans get flagged by DSOs and can delay your extension approval.
Use OFLC Wage Search to benchmark your offer
Before signing an offer, look up the prevailing wage for your SOC code and job location using OFLC Wage Search. STEM OPT employers must pay you at least the same rate as similarly employed U.S. workers, and a significantly below-market offer can signal a compliance problem.
Target analytics teams with dedicated BI tooling
On Migrate Mate, filter for employers with LCA filing history in data and analytics roles. Companies that have already filed for BI or data analyst positions have demonstrated familiarity with work authorization requirements and are less likely to withdraw offers over STEM OPT paperwork.
File your STEM OPT extension 90 days before OPT expires
Submit your STEM OPT extension application to USCIS no later than 90 days before your initial OPT end date. If your application is pending when your OPT expires, you're covered by a 180-day cap-gap period, but you must have filed on time to qualify.
Frequently Asked Questions
Does a Senior Business Intelligence Analyst role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, statistics, management information systems, or applied mathematics. The role itself isn't what qualifies you; your degree's CIP code does. Confirm your I-20 lists a qualifying CIP code with your DSO before applying, and check that the job duties align with your degree field to satisfy the I-983 training plan requirement.
Does my STEM OPT employer have to be enrolled in E-Verify?
Yes. E-Verify enrollment is a hard legal requirement for any employer hiring a STEM OPT student. Before accepting an offer, ask the recruiter or HR contact directly whether the company is enrolled and active in E-Verify. You can also verify enrollment through the E-Verify employer search tool. Working for a non-enrolled employer on STEM OPT violates your status.
What goes into an I-983 training plan for a BI analyst position?
Your I-983 must describe how your day-to-day work connects to your STEM degree. For a Senior BI Analyst, that means linking specific tasks like building data models, writing SQL, or developing executive dashboards to academic competencies from your program. The employer's supervisor must co-sign the plan, and you'll submit 12-month and 24-month evaluations to your DSO throughout the extension period.
What happens to my STEM OPT authorization if I'm waiting for an H-1B decision?
If your employer files an H-1B visa petition on your behalf before your STEM OPT expires and USCIS selects you in the lottery, the cap-gap provision extends your work authorization automatically until October 1 of that fiscal year. You can continue working as a Senior BI Analyst during the cap-gap period without any interruption, as long as you remain in valid status and your petition is pending.
Where can I find Senior Business Intelligence Analyst jobs that accept STEM OPT students?
Migrate Mate is built specifically for F-1 STEM OPT students and surfaces employers with verified E-Verify enrollment and LCA filing history in data and analytics roles. Filtering by role type and work authorization shows you which companies have already hired workers in similar positions, so you're not guessing about sponsorship willingness before you apply.