BI Analyst Jobs in Tennessee
BI Analyst jobs in Tennessee are consistently active, with steady demand across healthcare systems, financial services, manufacturing, and logistics from entry-level analysts through senior and lead roles. Nashville, Memphis, and Chattanooga are the largest hiring markets, where employers like HCA Healthcare, FedEx, and Unum Group rely on bi analysts to drive operational and strategic decisions. The most in-demand specialties are healthcare data analysis, supply chain reporting, and financial performance dashboards. Find a role that fits below and apply directly.
Find BI Analyst JobsOverview
Showing 5 of 17+ BI Analyst jobs
Do you want to join an organization that invests in you as a Consulting Data Architect? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.
Job Summary and Qualifications
Job Summary
The Consulting BI Architect is responsible for the architecture, design, governance, and performance of enterprise HR analytical data models, including the Lakehouse gold layer and Power BI semantic models. This position establishes and maintains scalable, secure, and reusable analytical data structures that support consistent business definitions, governed metrics, and enterprise reporting.
The role serves as a technical authority for analytical data modeling, partnering with data architecture, engineering, business intelligence, and analytics teams to establish architectural standards, review technical designs, and resolve complex modeling and performance challenges. This position provides technical leadership across enterprise analytical solutions, ensuring architectural consistency, scalability, security, engineering discipline, controlled deployment, and long-term maintainability.
The role also provides hands-on analytical modeling leadership during the modernization and migration of enterprise reporting solutions to governed gold-layer data products. Success requires deep investigation of business metrics, validation of analytical consistency, and independent resolution of complex data and modeling issues.
What you will do:
Quality
- Own architectural design and technical standards for HR analytical data models across the lakehouse gold layer and enterprise Power BI semantic models.
- Establish architectural patterns for distributing business logic, calculations, aggregations, and security controls between the analytical data layer and Power BI semantic models, balancing performance, governance, reusability, and maintainability.
- Establish and enforce dimensional modeling, relationship design, business-rule implementation, and reusable metric standards.
- Demonstrate advanced analytical problem-solving capabilities, including the ability to deconstruct complex business metrics, trace calculations to underlying source data, identify inconsistencies in business logic, and independently investigate and resolve data discrepancies across enterprise analytical environments.
- Ensure analytical data structures are scalable, maintainable, secure, and optimized for enterprise reporting and self-service analytics.
- Establish and enforce version control, automated testing, and deployment standards for analytical data models and Power BI semantic models, ensuring changes are traceable, validated, and consistently promoted across environments.
- Lead technical design reviews to identify architectural weaknesses, performance risks, inconsistencies, and opportunities for standardization.
- Establish performance expectations and guide optimization of gold-layer structures, semantic models, DAX calculations, and analytical queries.
- Define and review analytical security architecture, including row-level security, data access patterns, and appropriate handling of sensitive workforce information.
- Partner with data analysts and engineering teams to resolve architectural or performance issues identified during validation, UAT, and production operations.
Service
- Translate complex analytical requirements into logical and dimensional data-model designs, technical specifications, and implementation guidance.
- Provide hands-on analytical modeling leadership during the modernization and migration of enterprise reporting solutions to governed gold-layer data products, including assessment of legacy data structures, translation of existing business logic, metric reconciliation, and validation of analytical consistency throughout the transition.
- Partner with enterprise data architecture and engineering teams to ensure gold-layer implementations align with approved analytical architecture.
- Design and govern enterprise Power BI semantic models supporting shared business definitions, reusable measures, and consistent reporting.
- Provide technical guidance on model relationships, calculation logic, data granularity, aggregation strategies, and performance optimization.
- Evaluate architectural tradeoffs and recommend solutions balancing performance, maintainability, security, and analytical flexibility.
- Partner with engineering and BI development teams to implement and improve CI/CD pipelines, source-controlled development workflows, and repeatable deployment processes for enterprise analytical solutions.
People
- Provide technical leadership and architectural guidance to data architects, BI developers, and other analytical development resources.
- Review and challenge technical designs produced by experienced developers to ensure alignment with established standards.
- Collaborate with data management, engineering, analytics, and business stakeholders to resolve cross-functional technical challenges.
- Mentor technical resources in dimensional modeling, semantic-model design, performance optimization, and architectural best practices.
- Communicate complex technical concepts and architectural decisions clearly to technical and nontechnical stakeholders.
Growth
- Advance enterprise analytical architecture through improved modeling standards, reusable data structures, and governed semantic models.
- Evaluate emerging capabilities in Google Cloud, BigQuery, Power BI, Microsoft Fabric, and related analytical technologies to improve enterprise analytical architecture, integration, performance, and scalability.
- Identify opportunities to improve model performance, development efficiency, architectural consistency, and long-term maintainability.
Professional Practice
- Exercise independent technical judgment in evaluating complex analytical data designs and architectural tradeoffs.
- Demonstrate deep expertise in relational and dimensional modeling, SQL, and enterprise semantic-model architecture.
- Apply structured problem-solving techniques to diagnose data-model defects, inefficient queries, and performance bottlenecks.
- Establish and maintain technical governance practices, including design reviews, architecture documentation, and adherence to modeling standards.
- Work effectively across multidisciplinary technical teams, providing architectural direction and maintaining accountability for technical quality.
- Balance immediate delivery needs with long-term architectural sustainability, security, and performance.
What qualifications you will need:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or an equivalent combination of education and relevant experience. Required
-
8+ years of experience in business intelligence, analytical data architecture, data modeling, or related technical disciplines required.
-
Significant hands-on experience designing and supporting complex, production-scale relational and dimensional data models required.
-
Demonstrated experience designing and architecting complex enterprise Power BI semantic models, including dimensional structures, advanced DAX, reusable measures, security, and performance optimization required.
-
Demonstrated ownership of enterprise analytical architecture, including significant data-model design decisions, technical tradeoffs, performance optimization, and ongoing production support required.
-
Experience architecting Power BI semantic models over cloud-based analytical data platforms, including evaluating connectivity approaches, data refresh strategies, query performance, and source-system dependencies required.
-
Advanced SQL skills, including query development, optimization, and investigation of complex data structures required.
-
Demonstrated experience with source control, CI/CD, and automated deployment practices in enterprise BI or analytical data environments, including technical review, release management, and production change control required.
-
Experience diagnosing and resolving analytical performance problems involving data models, queries, and semantic-layer calculations required.
-
Experience establishing technical standards, reviewing architectural designs, and guiding other experienced technical professionals required.
-
Experience working with enterprise data platforms and collaborating across data engineering, analytics, and business teams required.
-
Experience with Git, Azure DevOps, GitHub Actions, Power BI Project (PBIP), Tabular Model Definition Language (TMDL), and infrastructure or deployment automation tools supporting governed analytical development preferred.
Certifications
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
- Microsoft Certified: Power BI Data Analyst Associate (PL-300) preferred
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) preferred
- Relevant training or certifications in BigQuery, cloud data architecture, or enterprise data modeling preferred
Benefits
HCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:
- Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services
- Wellbeing support, including free counseling and referral services
- Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence
- Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling
- Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing
- Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location.
Human Resources Group empowers our people to grow and give purpose to the HCA Healthcare culture. We deliver our Human Resource model in three sectors: HR Business Partners, HR Shared Operations and HR Centers of Excellence. HR Business Partner teams are critical to the success of our HR delivery model. We drive performance to achieve successful results to better care for our patients, communities and each other.
HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
"Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Consulting Data Architect opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Do you want to join an organization that invests in you as a Consulting Data Architect? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.
Job Summary and Qualifications
Job Summary
The Consulting BI Architect is responsible for the architecture, design, governance, and performance of enterprise HR analytical data models, including the Lakehouse gold layer and Power BI semantic models. This position establishes and maintains scalable, secure, and reusable analytical data structures that support consistent business definitions, governed metrics, and enterprise reporting.
The role serves as a technical authority for analytical data modeling, partnering with data architecture, engineering, business intelligence, and analytics teams to establish architectural standards, review technical designs, and resolve complex modeling and performance challenges. This position provides technical leadership across enterprise analytical solutions, ensuring architectural consistency, scalability, security, engineering discipline, controlled deployment, and long-term maintainability.
The role also provides hands-on analytical modeling leadership during the modernization and migration of enterprise reporting solutions to governed gold-layer data products. Success requires deep investigation of business metrics, validation of analytical consistency, and independent resolution of complex data and modeling issues.
What you will do:
Quality
- Own architectural design and technical standards for HR analytical data models across the lakehouse gold layer and enterprise Power BI semantic models.
- Establish architectural patterns for distributing business logic, calculations, aggregations, and security controls between the analytical data layer and Power BI semantic models, balancing performance, governance, reusability, and maintainability.
- Establish and enforce dimensional modeling, relationship design, business-rule implementation, and reusable metric standards.
- Demonstrate advanced analytical problem-solving capabilities, including the ability to deconstruct complex business metrics, trace calculations to underlying source data, identify inconsistencies in business logic, and independently investigate and resolve data discrepancies across enterprise analytical environments.
- Ensure analytical data structures are scalable, maintainable, secure, and optimized for enterprise reporting and self-service analytics.
- Establish and enforce version control, automated testing, and deployment standards for analytical data models and Power BI semantic models, ensuring changes are traceable, validated, and consistently promoted across environments.
- Lead technical design reviews to identify architectural weaknesses, performance risks, inconsistencies, and opportunities for standardization.
- Establish performance expectations and guide optimization of gold-layer structures, semantic models, DAX calculations, and analytical queries.
- Define and review analytical security architecture, including row-level security, data access patterns, and appropriate handling of sensitive workforce information.
- Partner with data analysts and engineering teams to resolve architectural or performance issues identified during validation, UAT, and production operations.
Service
- Translate complex analytical requirements into logical and dimensional data-model designs, technical specifications, and implementation guidance.
- Provide hands-on analytical modeling leadership during the modernization and migration of enterprise reporting solutions to governed gold-layer data products, including assessment of legacy data structures, translation of existing business logic, metric reconciliation, and validation of analytical consistency throughout the transition.
- Partner with enterprise data architecture and engineering teams to ensure gold-layer implementations align with approved analytical architecture.
- Design and govern enterprise Power BI semantic models supporting shared business definitions, reusable measures, and consistent reporting.
- Provide technical guidance on model relationships, calculation logic, data granularity, aggregation strategies, and performance optimization.
- Evaluate architectural tradeoffs and recommend solutions balancing performance, maintainability, security, and analytical flexibility.
- Partner with engineering and BI development teams to implement and improve CI/CD pipelines, source-controlled development workflows, and repeatable deployment processes for enterprise analytical solutions.
People
- Provide technical leadership and architectural guidance to data architects, BI developers, and other analytical development resources.
- Review and challenge technical designs produced by experienced developers to ensure alignment with established standards.
- Collaborate with data management, engineering, analytics, and business stakeholders to resolve cross-functional technical challenges.
- Mentor technical resources in dimensional modeling, semantic-model design, performance optimization, and architectural best practices.
- Communicate complex technical concepts and architectural decisions clearly to technical and nontechnical stakeholders.
Growth
- Advance enterprise analytical architecture through improved modeling standards, reusable data structures, and governed semantic models.
- Evaluate emerging capabilities in Google Cloud, BigQuery, Power BI, Microsoft Fabric, and related analytical technologies to improve enterprise analytical architecture, integration, performance, and scalability.
- Identify opportunities to improve model performance, development efficiency, architectural consistency, and long-term maintainability.
Professional Practice
- Exercise independent technical judgment in evaluating complex analytical data designs and architectural tradeoffs.
- Demonstrate deep expertise in relational and dimensional modeling, SQL, and enterprise semantic-model architecture.
- Apply structured problem-solving techniques to diagnose data-model defects, inefficient queries, and performance bottlenecks.
- Establish and maintain technical governance practices, including design reviews, architecture documentation, and adherence to modeling standards.
- Work effectively across multidisciplinary technical teams, providing architectural direction and maintaining accountability for technical quality.
- Balance immediate delivery needs with long-term architectural sustainability, security, and performance.
What qualifications you will need:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or an equivalent combination of education and relevant experience. Required
-
8+ years of experience in business intelligence, analytical data architecture, data modeling, or related technical disciplines required.
-
Significant hands-on experience designing and supporting complex, production-scale relational and dimensional data models required.
-
Demonstrated experience designing and architecting complex enterprise Power BI semantic models, including dimensional structures, advanced DAX, reusable measures, security, and performance optimization required.
-
Demonstrated ownership of enterprise analytical architecture, including significant data-model design decisions, technical tradeoffs, performance optimization, and ongoing production support required.
-
Experience architecting Power BI semantic models over cloud-based analytical data platforms, including evaluating connectivity approaches, data refresh strategies, query performance, and source-system dependencies required.
-
Advanced SQL skills, including query development, optimization, and investigation of complex data structures required.
-
Demonstrated experience with source control, CI/CD, and automated deployment practices in enterprise BI or analytical data environments, including technical review, release management, and production change control required.
-
Experience diagnosing and resolving analytical performance problems involving data models, queries, and semantic-layer calculations required.
-
Experience establishing technical standards, reviewing architectural designs, and guiding other experienced technical professionals required.
-
Experience working with enterprise data platforms and collaborating across data engineering, analytics, and business teams required.
-
Experience with Git, Azure DevOps, GitHub Actions, Power BI Project (PBIP), Tabular Model Definition Language (TMDL), and infrastructure or deployment automation tools supporting governed analytical development preferred.
Certifications
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
- Microsoft Certified: Power BI Data Analyst Associate (PL-300) preferred
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) preferred
- Relevant training or certifications in BigQuery, cloud data architecture, or enterprise data modeling preferred
Benefits
HCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:
- Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services
- Wellbeing support, including free counseling and referral services
- Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence
- Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling
- Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing
- Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location.
Human Resources Group empowers our people to grow and give purpose to the HCA Healthcare culture. We deliver our Human Resource model in three sectors: HR Business Partners, HR Shared Operations and HR Centers of Excellence. HR Business Partner teams are critical to the success of our HR delivery model. We drive performance to achieve successful results to better care for our patients, communities and each other.
HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
"Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Consulting Data Architect opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
See All 17 BI Analyst Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find BI Analyst JobsBI Analyst Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
BI Analyst Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Technology & Software
- Mining & Natural Resources
What Tennessee Employers Look For
The qualifications that appear most often in BI analyst jobs across Tennessee.
- Bachelor's degree in business analytics, computer science, information systems, or a related field
- Proficiency in BI tools such as Power BI, Tableau, or Qlik for building dashboards and reports
- Strong SQL skills for querying and manipulating large relational databases
- Experience translating business requirements into data models and actionable visualizations
- Familiarity with ETL processes and data warehousing concepts in an enterprise environment
- Strong communication skills to present findings clearly to non-technical stakeholders
BI Analyst Jobs in Tennessee: Frequently Asked Questions
How do you become a bi analyst in Tennessee?
There is no state-issued license required to work as a bi analyst in Tennessee. Most employers hire candidates with a bachelor's degree in business analytics, information systems, computer science, or a related field. Building proficiency in tools like Power BI or Tableau and earning vendor-recognized certifications such as Microsoft's PL-300 strengthens a candidacy considerably. Tennessee's large healthcare and logistics sectors also value analysts who can demonstrate domain knowledge alongside technical skills.
How much do BI analysts make in Tennessee?
BI analysts in Tennessee earn a median of about $100,330 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,200 for the lowest 10% to over $156,160 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire bi analysts in Tennessee?
Employers hiring bi analysts in Tennessee right now include HCA Healthcare, Komatsu, and Inframark, based on current listings on Migrate Mate as of November 2026. Tennessee's concentration of large healthcare networks, insurance carriers, and distribution companies means demand for bi analysts is spread across multiple industries rather than tied to a single sector.
Which Tennessee cities have the most bi analyst jobs?
Nashville, Franklin, and Ripley have the most bi analyst openings in Tennessee. Nashville dominates due to its dense cluster of healthcare corporations and financial services firms, while Memphis is driven by logistics giants and regional banks, and Chattanooga has grown as a manufacturing and insurance analytics hub anchored by several large regional employers.
Are there remote bi analyst jobs in Tennessee?
Yes, and more than most fields. About 56% of bi analyst openings tied to Tennessee are remote or hybrid as of November 2026, reflecting the desk-based, data-driven nature of the work. Reporting, dashboard development, and ad hoc analysis tasks translate well to remote environments, making bi analyst one of the more consistently flexible roles in Tennessee's tech and analytics job market.
How can I get hired as a bi analyst in Tennessee with little or no experience?
The most realistic entry path is applying for junior analyst or data analyst associate roles at Tennessee's major healthcare and financial services employers, where organizations like HCA Healthcare and Unum Group regularly bring on candidates from adjacent roles in data entry, financial reporting, or operations analysis. Building a portfolio of Power BI or Tableau projects and completing the Microsoft PL-300 certification gives early-career candidates a concrete edge when competing against more experienced applicants in Tennessee's market.
Where can I find and apply to bi analyst jobs in Tennessee?
You can find and apply to bi analyst jobs in Tennessee on Migrate Mate, which lists current Tennessee openings. Find the roles that fit your experience and location, then apply directly to the ones that match.
See All 17 BI Analyst Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find BI Analyst Jobs