Business Data Analyst Visa Sponsorship Jobs in Tennessee
Tennessee's business data analyst job market is anchored by major employers in Nashville, Memphis, and Knoxville, spanning healthcare giants like HCA Healthcare and Vanderbilt University Medical Center, logistics firms, and a growing fintech sector. Companies in these industries have established records of sponsoring work visas for qualified international analysts.
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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)
Business Data Analyst Job Roles in Tennessee
See all 79+ Business Data Analyst Jobs in Tennessee
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Search Business Data Analyst Jobs in TennesseeBusiness Data Analyst Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for business data analysts in Tennessee?
Healthcare organizations are among the most active sponsors for business data analysts in Tennessee. HCA Healthcare, Vanderbilt University Medical Center, and Community Health Systems in Nashville have sponsored H-1B positions for data and analytics roles. FedEx in Memphis and Oak Ridge National Laboratory in East Tennessee also appear in federal disclosure data as sponsors for analyst-category positions.
Which visa types are most common for business data analyst roles in Tennessee?
The H-1B is the most common visa category for business data analyst roles in Tennessee, as the position typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as statistics, information systems, or business analytics. International candidates with Canadian or Mexican citizenship may also qualify under the TN visa category, which covers certain management and engineering roles.
Which cities in Tennessee have the most business data analyst sponsorship jobs?
Nashville has the highest concentration of business data analyst sponsorship opportunities in Tennessee, driven by its healthcare, finance, and technology sectors. Memphis offers openings in logistics, supply chain analytics, and healthcare through employers like FedEx and Methodist Le Bonheur Healthcare. Knoxville and Oak Ridge are smaller but notable markets, particularly for analysts with experience in research, energy, or advanced manufacturing.
How to find business data analyst visa sponsorship jobs in Tennessee?
Migrate Mate filters job listings specifically for roles open to visa sponsorship, including business data analyst positions in Tennessee. Searching by state and role on Migrate Mate surfaces employers who have indicated sponsorship willingness, saving time compared to reviewing unfiltered postings. Focusing your search on Nashville's healthcare corridor and Memphis's logistics sector tends to return the highest volume of relevant results.
Are there state-specific factors that affect business data analyst sponsorship in Tennessee?
Tennessee has no state income tax on wages, which affects prevailing wage calculations and compensation structures that employers file with the Department of Labor for H-1B petitions. The state's strong presence in healthcare IT and academic medical centers creates demand for analysts who can work with clinical and operational data. Vanderbilt University and the University of Tennessee also contribute a steady pipeline of graduates, which can influence how quickly employers fill open roles.
What is the prevailing wage for sponsored business 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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