TN Visa Data Science Analyst Jobs
Data Science Analyst roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, covering professionals who apply statistical modeling, machine learning, and data pipeline work to business decisions. Canadian citizens can apply at the port of entry with no cap. Mexican citizens need a consular appointment.
Find TN Visa Data Science Analyst JobsOverview
Showing 5 of 706+ Data Science Analyst jobs
See all 706+ Data Science Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst roles.
Get Access To All JobsLet’s do great things, together!
About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.
Position Summary
The Data Science BSA gathers and documents business requirements for the Enterprise Data Warehouse (EDW), including processes, system flows, and functional designs for break-fixes, upgrades, vendor implementations, and product enhancements. This position analyzes existing systems, designs new systems, and evaluates requirements and specifications throughout the software development lifecycle, including testing and implementation for projects with significant departmental or organizational impact. This is a FT WFH position.
Pay Range
$71,906.46 - $93,480.50 annually (depending on experience).
- This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.
Benefits:
- Medical, Dental, Vision, Pharmacy, Life, & Disability
- 401K- Matching
- FSA
- Employee Assistance Program
- PTO and Company Paid Holidays
Required Skills, Experience & Education:
- 8+ years of experience in technical or business analysis, including at least 5 years as a Business Systems Analyst. Experience with data teams or data warehouses and familiarity with health insurance administration or clinical/operational healthcare are preferred.
- Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
- 2+ years of experience supporting analytical and reporting use-cases involving large datasets and/or data warehouses.
- Ability to read, write, and execute SQL statements.
- Experience with SQL Server and cloud-based data warehouses such as Snowflake, Microsoft Synapse/Fabric, BigQuery, Redshift, or Databricks preferred.
- Expert facilitation skills for both large and small group meetings or working sessions.
- Proven critical thinking, time management, and problem-solving skills.
- Ability to work collaboratively in a production support team and independently with minimal supervision.
- Ability to work well under pressure in a fast-paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
- Strong organizational skills with the ability to plan, prioritize, and meet deadlines.
- Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.
Preferred Skills, Experience & Education:
- Ability to work with at least one additional language on top of SQL, such as SAS, R, or Python.
- Familiarity with modern data transformation tools such as dbt or Coalesce preferred.
Primary Functions:
- Model best practice requirements engineering for all aspects of the development lifecycle activities, including elicitation, analysis, and prioritization of functional and non-functional requirements.
- Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
- Partner with business and technical leadership to define, validate, and approve detailed functional specifications and acceptance criteria for high-impact initiatives.
- Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
- Author and review technical documentation for enterprise-level systems, ensuring compliance with Data Science standards and influencing documentation best practices.
- Lead the development of business cases, contingency plans, business metrics and measurements, process models, training materials, new procedures, test scripts, ad-hoc reports, and smart solutioning for process improvements.
- Participate in the review and approval of system designs, logical data designs, report designs, interface designs, and conversion plans. Review and approve high-level data flows, functional specifications, and implementation plans. Suggest design alternatives as appropriate.
- Develop, document, and implement test plans, scenarios, and outcomes following Data Science standards to ensure stakeholder requirements are met.
- Perform post-implementation quality assurance and troubleshooting, ensuring adequate documentation following department standards.
- Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
- Provide training and communicate system changes to end-users and other impacted staff.
- Perform ongoing production support, scope bug fixes, and ensure that the resolution of complex issues for critical data-related applications is provided by the dev team to minimize business disruption.
- Perform other duties as assigned.
Working Conditions:
- Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need.
Together, we can be more. We can be better.
Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.
For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.
Let’s do great things, together!
About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.
Position Summary
The Data Science BSA gathers and documents business requirements for the Enterprise Data Warehouse (EDW), including processes, system flows, and functional designs for break-fixes, upgrades, vendor implementations, and product enhancements. This position analyzes existing systems, designs new systems, and evaluates requirements and specifications throughout the software development lifecycle, including testing and implementation for projects with significant departmental or organizational impact. This is a FT WFH position.
Pay Range
$71,906.46 - $93,480.50 annually (depending on experience).
- This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.
Benefits:
- Medical, Dental, Vision, Pharmacy, Life, & Disability
- 401K- Matching
- FSA
- Employee Assistance Program
- PTO and Company Paid Holidays
Required Skills, Experience & Education:
- 8+ years of experience in technical or business analysis, including at least 5 years as a Business Systems Analyst. Experience with data teams or data warehouses and familiarity with health insurance administration or clinical/operational healthcare are preferred.
- Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
- 2+ years of experience supporting analytical and reporting use-cases involving large datasets and/or data warehouses.
- Ability to read, write, and execute SQL statements.
- Experience with SQL Server and cloud-based data warehouses such as Snowflake, Microsoft Synapse/Fabric, BigQuery, Redshift, or Databricks preferred.
- Expert facilitation skills for both large and small group meetings or working sessions.
- Proven critical thinking, time management, and problem-solving skills.
- Ability to work collaboratively in a production support team and independently with minimal supervision.
- Ability to work well under pressure in a fast-paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
- Strong organizational skills with the ability to plan, prioritize, and meet deadlines.
- Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.
Preferred Skills, Experience & Education:
- Ability to work with at least one additional language on top of SQL, such as SAS, R, or Python.
- Familiarity with modern data transformation tools such as dbt or Coalesce preferred.
Primary Functions:
- Model best practice requirements engineering for all aspects of the development lifecycle activities, including elicitation, analysis, and prioritization of functional and non-functional requirements.
- Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
- Partner with business and technical leadership to define, validate, and approve detailed functional specifications and acceptance criteria for high-impact initiatives.
- Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
- Author and review technical documentation for enterprise-level systems, ensuring compliance with Data Science standards and influencing documentation best practices.
- Lead the development of business cases, contingency plans, business metrics and measurements, process models, training materials, new procedures, test scripts, ad-hoc reports, and smart solutioning for process improvements.
- Participate in the review and approval of system designs, logical data designs, report designs, interface designs, and conversion plans. Review and approve high-level data flows, functional specifications, and implementation plans. Suggest design alternatives as appropriate.
- Develop, document, and implement test plans, scenarios, and outcomes following Data Science standards to ensure stakeholder requirements are met.
- Perform post-implementation quality assurance and troubleshooting, ensuring adequate documentation following department standards.
- Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
- Provide training and communicate system changes to end-users and other impacted staff.
- Perform ongoing production support, scope bug fixes, and ensure that the resolution of complex issues for critical data-related applications is provided by the dev team to minimize business disruption.
- Perform other duties as assigned.
Working Conditions:
- Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need.
Together, we can be more. We can be better.
Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.
For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.
See all 706+ TN Visa Data Science Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Data Science Analyst Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Data Science Analyst
Translate your credentials into U.S. equivalents
Canadian and Mexican university transcripts often need a credential evaluation to confirm your degree maps to a U.S. bachelor's in statistics, computer science, or a related quantitative field before employers can assess your TN visa eligibility.
Target employers with recent visa filing experience
Search for companies with recent visa filings and experience sponsoring technical roles. Those employers already understand work visa sponsorship processes and will be familiar with supporting candidates through the TN application process at the port of entry or consulate.
Clarify the specialty occupation fit in your resume
CBP officers assess whether your role qualifies as Computer Systems Analyst under USMCA. Your resume should explicitly describe the analytical and systems-level work, not just tools used, to make the classification obvious at the port of entry.
Use Migrate Mate to filter roles by TN sponsorship
Searching general job boards surfaces roles where TN eligibility is unclear. Migrate Mate lets you filter specifically for Data Science Analyst positions where employers are open to TN sponsorship, cutting out the guesswork before you apply.
Get your offer letter to specify the USMCA category
The employer support letter must name 'Computer Systems Analyst' as the USMCA profession and describe how your day-to-day duties match that classification. A vague letter is one of the most common reasons CBP requests additional documentation.
Plan your Mexican consular appointment around processing windows
Mexican citizens apply at a U.S. consulate, not the port of entry. Appointment availability varies by post and season, so confirm your DS-160 and employer letter are ready well before your intended start date to avoid offer delays.
Data Science Analyst TN Visa: Frequently Asked Questions
Does a Data Science Analyst role qualify for TN visa status?
Data Science Analyst positions typically qualify under the USMCA's Computer Systems Analyst category when the role involves designing or applying analytical systems to interpret data for business or technical decisions. The job duties in your offer letter must reflect that classification. Roles limited to dashboard reporting or data entry without a systems or modeling component may not qualify.
How does TN compare to H-1B for Data Science Analyst positions?
TN has no annual lottery and no cap for Canadian citizens, so you can start as soon as an employer makes an offer and CBP approves your application at the port of entry. H-1B visa requires winning a random lottery with roughly a one-in-four chance. For Data Science Analyst roles that fit the Computer Systems Analyst category, TN is a faster and more predictable path.
Where can I find Data Science Analyst jobs that already support TN visa sponsorship?
Migrate Mate is built specifically for this search. You can filter for Data Science Analyst roles where employers are open to TN visa sponsorship, so you're not spending time applying to companies that won't support your status. Most general job boards don't surface TN-readiness as a filter, which makes targeted searches difficult.
What documents does a Canadian Data Science Analyst need at the port of entry?
You'll need a valid Canadian passport, a detailed employer support letter naming the USMCA Computer Systems Analyst category, proof of your qualifying degree or credential evaluation, and documentation of your job duties. CBP officers make the approval decision on the spot, so having clearly organized documents that match the USMCA classification is practical preparation, not a formality.
Can a Mexican Data Science Analyst apply for TN status the same way as a Canadian?
No. Mexican citizens must apply for a TN visa at a U.S. consulate in Mexico rather than at a port of entry. The required documents are similar, but you'll complete a DS-160, pay a visa application fee, and attend an interview. Consular appointment availability varies by location, so confirm scheduling timelines with your employer before setting a start date.