Data Analyst Visa Sponsorship Jobs in Tennessee
Data analyst visa sponsorship jobs in Tennessee are concentrated in Nashville, Memphis, and Knoxville, where healthcare giants like HCA Healthcare and Cigna, logistics firms, and a growing fintech sector drive consistent demand. Tennessee's anchor universities, including Vanderbilt and the University of Tennessee, also feed a steady pipeline of international talent into the state's analytics roles.
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This role supports the Digital Insights & Analytics team at FedEx, focused on analytics for a growing portfolio of API-based digital products that enable transportation revenue and generate incremental digital revenue. This includes commercialized and emerging API offerings such as tracking, webhooks, and related premium capabilities, as well as analytics support for adjacent initiatives across shipping and returns fraud, sustainability, conversion tools, alliance partnerships, and predictive delivery estimates.
The business need for this role is driven by increasing product complexity and rising expectations from product, platform, and commercial teams. Analytics support in this space now extends beyond reporting into solution design, data modeling, automation, and fast technical problem-solving. We need a senior analyst who can take ownership of work end-to-end, from clarifying the business question and designing the analytical approach, through execution in Python and SQL, to delivery of insights and recommendations, without ongoing handholding or rework.
This role will partner closely with product managers, API engineers, analytics engineers, and sales stakeholders to support API lifecycle analytics, including adoption, usage, retention, churn, and commercialization performance. The analyst will be expected to independently manage projects, validate data definitions and assumptions, and deliver scalable, repeatable solutions that can be operationalized over time.
Questions related to API usage, data quality, customer impact, and platform behavior often require same-day investigation and response, requiring fast turnaround, clear communication, and high confidence from stakeholders, while also enabling effective delegation of complex projects that require real-time collaboration and judgment.
Key Responsibilities
Strategic & Product-Focused Analytics
- Partner with digital product managers and business stakeholders to translate product strategy, commercialization goals, and customer needs into scalable analytics solutions
- Support API product lifecycle analytics including adoption, usage patterns, segmentation, retention, churn, and revenue contribution
- Provide analytical insights that inform pricing, packaging, targeting, onboarding, and long-term product roadmap decisions
Advanced Technical Analysis & Solution Design
- Design and implement analytical models using Python and SQL to support complex product and revenue questions
- Develop well-structured data models and metrics frameworks that support repeatable, automated reporting and analysis
- Validate data definitions, assumptions, and methodologies early in the solution design process to reduce downstream rework
- Troubleshoot complex data issues related to APIs, event data, integrations, and third-party dependencies
Data Products & Automation
- Collaborate closely with analytics engineers and data engineers to build and enhance data products supporting digital and API analytics
- Identify opportunities to automate recurring analyses, monitoring, and reporting workflows using Python and modern analytics tooling
- Ensure analytical outputs are reliable, scalable, and aligned with platform standards and best practices
Stakeholder Enablement & Communication
- Serve as a technical point of contact for product, platform, and commercial teams on analytics-related questions
- Present insights clearly to both technical and non-technical stakeholders, translating complex findings into actionable recommendations
- Support real-time decision-making by providing fast, high-quality analytical responses in a dynamic product environment
Team Leadership & Ways of Working
- Act as a senior technical resource within the analytics team, mentoring junior and mid-level analysts as appropriate
- Collaborate with India COE analysts to ensure alignment, consistency, and effective global delivery
- Work in an agile, product-oriented model with priorities set by the Product Owner, contributing actively to sprint planning and backlog refinement
Required Skills, Knowledge & Experience
Technical & Analytical Skills
- Strong proficiency in Python for data analysis, modeling, automation, and troubleshooting
- Advanced SQL skills for complex querying and data exploration
- Experience with data modeling, metric design, and analytical frameworks
- Familiarity with digital product analytics, APIs, event-based data, and customer lifecycle analysis
- Experience building dashboards and analytical outputs using tools such as Power BI (strongly preferred), Tableau, or similar
Business & Product Acumen
- Strong understanding of digital products, user experience, and long-term value creation
- Ability to connect analytical insights to revenue generation, customer behavior, and strategic outcomes
- Comfort working in complex, cross-functional environments involving engineering, product, sales, and external partners
Soft Skills
- Clear and effective communicator with the ability to explain complex topics simply
- Strong problem-solving mindset with attention to detail and data quality
- Ability to manage multiple priorities and respond quickly in time-sensitive situations
- Collaborative, proactive, and comfortable operating with ambiguity
Minimum Education
Bachelor’s degree in business or related field. In lieu of degree, eight (8) years of practical experience may offset education requirements.
Minimum Experience
Four (4) years in product analytics, advanced business intelligence, or related field. Experience with product-led growth, pricing, or platform analytics.
Preferred Qualifications
- Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field; Master’s degree preferred
- 5+ years of experience in data analytics, with demonstrated senior-level technical ownership
- Prior experience supporting digital products, platforms, or API-driven ecosystems strongly preferred
- Working knowledge of Git/GitHub for collaboration; DBT experience is a plus
- Understanding of experimentation and A/B testing concepts
Job Conditions
Some business travel may be required.
Domicile Information: This position is eligible for telecommuting and may be located anywhere within the United States excluding AK, HI and U.S. territories.
Pay Ranges:
USA: $8,007.29/mo - $18,149.85/mo, CO: $8,007.29/mo - $17,393.61/mo, CA: $8,452.14/mo - $14,413.11/mo, NJ: $8,452.14/mo - $13,523.42/mo, OH & VT: $8,452.14/mo - $14,368.63/mo, MN: $8,452.14/mo - $16,637.36/mo, IL & NV: $8,452.14/mo - $17,393.61/mo, MD, NY & WA: $8,452.14/mo - $18,149.85/mo, MA: $8,896.99/mo - $18,149.85/mo, RI: $9,786.68/mo - $16,637.36/mo, CT: $9,786.68/mo - $17,393.61/mo, DC & HI: $10,231.53/mo - $17,393.61/mo, NYC: $10,231.53/mo - $18,149.85/mo
Pay Transparency:
The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire.
For details on our comprehensive benefits, click here.
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
- Know Your Rights
- Pay Transparency
- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
Job Summary
This role supports the Digital Insights & Analytics team at FedEx, focused on analytics for a growing portfolio of API-based digital products that enable transportation revenue and generate incremental digital revenue. This includes commercialized and emerging API offerings such as tracking, webhooks, and related premium capabilities, as well as analytics support for adjacent initiatives across shipping and returns fraud, sustainability, conversion tools, alliance partnerships, and predictive delivery estimates.
The business need for this role is driven by increasing product complexity and rising expectations from product, platform, and commercial teams. Analytics support in this space now extends beyond reporting into solution design, data modeling, automation, and fast technical problem-solving. We need a senior analyst who can take ownership of work end-to-end, from clarifying the business question and designing the analytical approach, through execution in Python and SQL, to delivery of insights and recommendations, without ongoing handholding or rework.
This role will partner closely with product managers, API engineers, analytics engineers, and sales stakeholders to support API lifecycle analytics, including adoption, usage, retention, churn, and commercialization performance. The analyst will be expected to independently manage projects, validate data definitions and assumptions, and deliver scalable, repeatable solutions that can be operationalized over time.
Questions related to API usage, data quality, customer impact, and platform behavior often require same-day investigation and response, requiring fast turnaround, clear communication, and high confidence from stakeholders, while also enabling effective delegation of complex projects that require real-time collaboration and judgment.
Key Responsibilities
Strategic & Product-Focused Analytics
- Partner with digital product managers and business stakeholders to translate product strategy, commercialization goals, and customer needs into scalable analytics solutions
- Support API product lifecycle analytics including adoption, usage patterns, segmentation, retention, churn, and revenue contribution
- Provide analytical insights that inform pricing, packaging, targeting, onboarding, and long-term product roadmap decisions
Advanced Technical Analysis & Solution Design
- Design and implement analytical models using Python and SQL to support complex product and revenue questions
- Develop well-structured data models and metrics frameworks that support repeatable, automated reporting and analysis
- Validate data definitions, assumptions, and methodologies early in the solution design process to reduce downstream rework
- Troubleshoot complex data issues related to APIs, event data, integrations, and third-party dependencies
Data Products & Automation
- Collaborate closely with analytics engineers and data engineers to build and enhance data products supporting digital and API analytics
- Identify opportunities to automate recurring analyses, monitoring, and reporting workflows using Python and modern analytics tooling
- Ensure analytical outputs are reliable, scalable, and aligned with platform standards and best practices
Stakeholder Enablement & Communication
- Serve as a technical point of contact for product, platform, and commercial teams on analytics-related questions
- Present insights clearly to both technical and non-technical stakeholders, translating complex findings into actionable recommendations
- Support real-time decision-making by providing fast, high-quality analytical responses in a dynamic product environment
Team Leadership & Ways of Working
- Act as a senior technical resource within the analytics team, mentoring junior and mid-level analysts as appropriate
- Collaborate with India COE analysts to ensure alignment, consistency, and effective global delivery
- Work in an agile, product-oriented model with priorities set by the Product Owner, contributing actively to sprint planning and backlog refinement
Required Skills, Knowledge & Experience
Technical & Analytical Skills
- Strong proficiency in Python for data analysis, modeling, automation, and troubleshooting
- Advanced SQL skills for complex querying and data exploration
- Experience with data modeling, metric design, and analytical frameworks
- Familiarity with digital product analytics, APIs, event-based data, and customer lifecycle analysis
- Experience building dashboards and analytical outputs using tools such as Power BI (strongly preferred), Tableau, or similar
Business & Product Acumen
- Strong understanding of digital products, user experience, and long-term value creation
- Ability to connect analytical insights to revenue generation, customer behavior, and strategic outcomes
- Comfort working in complex, cross-functional environments involving engineering, product, sales, and external partners
Soft Skills
- Clear and effective communicator with the ability to explain complex topics simply
- Strong problem-solving mindset with attention to detail and data quality
- Ability to manage multiple priorities and respond quickly in time-sensitive situations
- Collaborative, proactive, and comfortable operating with ambiguity
Minimum Education
Bachelor’s degree in business or related field. In lieu of degree, eight (8) years of practical experience may offset education requirements.
Minimum Experience
Four (4) years in product analytics, advanced business intelligence, or related field. Experience with product-led growth, pricing, or platform analytics.
Preferred Qualifications
- Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field; Master’s degree preferred
- 5+ years of experience in data analytics, with demonstrated senior-level technical ownership
- Prior experience supporting digital products, platforms, or API-driven ecosystems strongly preferred
- Working knowledge of Git/GitHub for collaboration; DBT experience is a plus
- Understanding of experimentation and A/B testing concepts
Job Conditions
Some business travel may be required.
Domicile Information: This position is eligible for telecommuting and may be located anywhere within the United States excluding AK, HI and U.S. territories.
Pay Ranges:
USA: $8,007.29/mo - $18,149.85/mo, CO: $8,007.29/mo - $17,393.61/mo, CA: $8,452.14/mo - $14,413.11/mo, NJ: $8,452.14/mo - $13,523.42/mo, OH & VT: $8,452.14/mo - $14,368.63/mo, MN: $8,452.14/mo - $16,637.36/mo, IL & NV: $8,452.14/mo - $17,393.61/mo, MD, NY & WA: $8,452.14/mo - $18,149.85/mo, MA: $8,896.99/mo - $18,149.85/mo, RI: $9,786.68/mo - $16,637.36/mo, CT: $9,786.68/mo - $17,393.61/mo, DC & HI: $10,231.53/mo - $17,393.61/mo, NYC: $10,231.53/mo - $18,149.85/mo
Pay Transparency:
The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire.
For details on our comprehensive benefits, click here.
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
- Know Your Rights
- Pay Transparency
- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
Data Analyst Job Roles in Tennessee
See all 131+ Data Analyst Jobs in Tennessee
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Search Data Analyst Jobs in TennesseeData Analyst Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for data analysts?
HCA Healthcare and Cigna are among the most active H-1B sponsors for data analysts in Tennessee, particularly in Nashville. FedEx's technology operations in Memphis and Oak Ridge National Laboratory near Knoxville also have hiring histories for analytical roles requiring sponsorship. Mid-sized healthcare IT firms and insurers concentrated along the Nashville corridor round out the sponsorship pool for this role.
Which visa types are most common for data analyst roles in Tennessee?
The H-1B is the most common visa category for data analysts in Tennessee, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, mathematics, or computer science. Some candidates at research institutions like Oak Ridge National Laboratory may encounter J-1 or O-1 pathways, but employer-sponsored H-1B petitions dominate hiring for this role statewide.
Which cities in Tennessee have the most data analyst visa sponsorship jobs?
Nashville leads the state by a significant margin, driven by its concentration of healthcare, insurance, and fintech employers. Memphis is the second most active market, anchored by logistics and supply chain companies that need analysts to support large-scale operations. Knoxville has a smaller but notable presence, particularly around federal research facilities and the University of Tennessee's affiliated employers.
How to find data analyst visa sponsorship jobs in Tennessee?
Migrate Mate is built specifically for international job seekers and filters data analyst roles in Tennessee by confirmed visa sponsorship history, so you're not applying to positions where sponsorship is uncertain. You can browse openings across Nashville, Memphis, and Knoxville and filter by employer type, making it straightforward to identify which healthcare, logistics, or tech companies are actively hiring analysts who need H-1B or other work visa support.
Are there any Tennessee-specific considerations for data analysts seeking visa sponsorship?
Tennessee's data analyst market is heavily shaped by healthcare, which means prevailing wage determinations for sponsored roles often reflect that industry's compensation norms rather than pure tech-sector benchmarks. Employers in Nashville's healthcare corridor file a high volume of Labor Condition Applications, which is publicly searchable and a useful signal of active sponsorship activity. The University of Tennessee and Vanderbilt also generate OPT candidates who later transition to H-1B through local employers.
What is the prevailing wage for sponsored data analyst jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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