Data And Analytics Jobs in Alabama
Data And Analytics jobs in Alabama concentrate in the finance, healthcare, manufacturing, and government sectors, with active hiring across the full seniority range from junior analysts to senior data scientists and analytics directors. Birmingham, Huntsville, and Montgomery are the largest hiring metros, home to established employers such as Protective Life, Huntsville Hospital Health System, and Alabama Power that maintain steady demand for data and analytics talent. The most sought-after specialties in the state are business intelligence, predictive modeling, and supply chain analytics. See the openings below and apply to the ones that match your experience.
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Showing 5 of 12+ Data And Analytics jobs
Data, Analytics & AI Engineer
Help Build the Future of Data, Analytics & AI
Are you passionate about data engineering, analytics, and artificial intelligence?
Do you love solving complex business problems while working with cutting-edge technology?
If so, this is an opportunity to make a real impact.
Our client is looking for a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform.
This is a highly visible, hands-on role where you'll work at the intersection of data engineering, business intelligence, analytics, and AI, creating intelligent solutions that drive smarter decisions and automate business processes across the organization.
You'll help build scalable data pipelines, develop powerful analytics, and create AI-enabled and agentic workflows that improve efficiency, generate insights, and transform how the business operates. You'll also play a key role in the organization's exciting transition to Microsoft Fabric, helping shape the future of its data ecosystem.
If you're someone who enjoys building things, learning new technologies, and bringing AI into real-world business applications, we'd love to talk to you.
What You'll Do
Build Modern Data Platforms
Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.
Integrate data from ERP, EHS, operational, and enterprise systems.
Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and Warehouse architectures.
Ensure high levels of data quality, performance, governance, and reliability.
Help establish best practices and architecture standards for the next generation data platform.
Deliver Powerful Analytics
Build interactive dashboards, semantic models, and reports using Power BI.
Partner with business leaders to translate business questions into actionable KPIs and analytics.
Enable self-service reporting through well-designed datasets and documentation.
Turn raw data into meaningful business insights.
Drive AI Innovation
Design, prototype, and deploy AI and Machine Learning solutions.
Build intelligent workflows that automate multi-step business processes using AI and agentic technologies.
Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics.
Champion responsible AI adoption across the organization.
Identify opportunities where AI can improve forecasting, anomaly detection,
classification, automation, and decision-making.
Collaborate Across the Business
Partner with IT, Security, DevOps, and business leaders to deliver secure, scalable solutions.
Work closely with cross-functional teams and affiliate companies on strategic initiatives.
Manage projects with measurable business outcomes and clear success metrics.
Innovate Continuously
Evaluate emerging technologies in data, analytics, and AI.
Recommend improvements that create measurable business value.
Foster a culture of innovation, experimentation, and data-driven decision making.
What We're Looking For
Required Qualifications
Bachelor's degree (or higher) in Computer Science, Data Science, Engineering,
Statistics, Applied Mathematics, or a related field.
Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar integration tools.
Excellent SQL skills with experience designing relational data models.
Experience with Azure SQL Database or similar database technologies.
Hands-on experience building Power BI semantic models, dashboards, and reports.
Programming experience with Python, including notebooks and data engineering workflows.
Practical experience applying AI and Machine Learning to solve real business challenges.
Strong analytical and problem-solving skills.
Ability to communicate technical concepts to both technical and non-technical audiences.
Curious, self-motivated, and excited about learning new technologies.
Bonus Points If You Have
Experience with Microsoft Fabric, including Lakehouse, Warehouse, Notebooks,
Real-Time Analytics, and AI workloads.
Familiarity with agentic AI, workflow orchestration, or intelligent automation platforms.
Experience supporting enterprise data platforms in regulated or security-conscious environments.
Knowledge of modern data architecture, including ELT, semantic layers, governance, and data lineage.
Experience working in large, multi-company, or distributed enterprise environments.
A customer-first mindset with the ability to build strong relationships across the business.
Why You'll Love This Opportunity
Work on meaningful projects using the latest AI and analytics technologies.
Help shape the future of a rapidly evolving enterprise data platform.
Play a key role in an organization's Microsoft Fabric transformation.
Collaborate with talented business and technology leaders.
Build solutions that directly influence strategic business decisions.
Be part of a culture that embraces innovation, experimentation, and continuous learning.
If you're excited about building modern data platforms, leveraging AI to solve real business problems, and making a measurable impact, we'd love to hear from you.
Data, Analytics & AI Engineer
Help Build the Future of Data, Analytics & AI
Are you passionate about data engineering, analytics, and artificial intelligence?
Do you love solving complex business problems while working with cutting-edge technology?
If so, this is an opportunity to make a real impact.
Our client is looking for a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform.
This is a highly visible, hands-on role where you'll work at the intersection of data engineering, business intelligence, analytics, and AI, creating intelligent solutions that drive smarter decisions and automate business processes across the organization.
You'll help build scalable data pipelines, develop powerful analytics, and create AI-enabled and agentic workflows that improve efficiency, generate insights, and transform how the business operates. You'll also play a key role in the organization's exciting transition to Microsoft Fabric, helping shape the future of its data ecosystem.
If you're someone who enjoys building things, learning new technologies, and bringing AI into real-world business applications, we'd love to talk to you.
What You'll Do
Build Modern Data Platforms
Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.
Integrate data from ERP, EHS, operational, and enterprise systems.
Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and Warehouse architectures.
Ensure high levels of data quality, performance, governance, and reliability.
Help establish best practices and architecture standards for the next generation data platform.
Deliver Powerful Analytics
Build interactive dashboards, semantic models, and reports using Power BI.
Partner with business leaders to translate business questions into actionable KPIs and analytics.
Enable self-service reporting through well-designed datasets and documentation.
Turn raw data into meaningful business insights.
Drive AI Innovation
Design, prototype, and deploy AI and Machine Learning solutions.
Build intelligent workflows that automate multi-step business processes using AI and agentic technologies.
Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics.
Champion responsible AI adoption across the organization.
Identify opportunities where AI can improve forecasting, anomaly detection,
classification, automation, and decision-making.
Collaborate Across the Business
Partner with IT, Security, DevOps, and business leaders to deliver secure, scalable solutions.
Work closely with cross-functional teams and affiliate companies on strategic initiatives.
Manage projects with measurable business outcomes and clear success metrics.
Innovate Continuously
Evaluate emerging technologies in data, analytics, and AI.
Recommend improvements that create measurable business value.
Foster a culture of innovation, experimentation, and data-driven decision making.
What We're Looking For
Required Qualifications
Bachelor's degree (or higher) in Computer Science, Data Science, Engineering,
Statistics, Applied Mathematics, or a related field.
Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar integration tools.
Excellent SQL skills with experience designing relational data models.
Experience with Azure SQL Database or similar database technologies.
Hands-on experience building Power BI semantic models, dashboards, and reports.
Programming experience with Python, including notebooks and data engineering workflows.
Practical experience applying AI and Machine Learning to solve real business challenges.
Strong analytical and problem-solving skills.
Ability to communicate technical concepts to both technical and non-technical audiences.
Curious, self-motivated, and excited about learning new technologies.
Bonus Points If You Have
Experience with Microsoft Fabric, including Lakehouse, Warehouse, Notebooks,
Real-Time Analytics, and AI workloads.
Familiarity with agentic AI, workflow orchestration, or intelligent automation platforms.
Experience supporting enterprise data platforms in regulated or security-conscious environments.
Knowledge of modern data architecture, including ELT, semantic layers, governance, and data lineage.
Experience working in large, multi-company, or distributed enterprise environments.
A customer-first mindset with the ability to build strong relationships across the business.
Why You'll Love This Opportunity
Work on meaningful projects using the latest AI and analytics technologies.
Help shape the future of a rapidly evolving enterprise data platform.
Play a key role in an organization's Microsoft Fabric transformation.
Collaborate with talented business and technology leaders.
Build solutions that directly influence strategic business decisions.
Be part of a culture that embraces innovation, experimentation, and continuous learning.
If you're excited about building modern data platforms, leveraging AI to solve real business problems, and making a measurable impact, we'd love to hear from you.
See All 12 Data And Analytics Jobs in Alabama
Find roles in Alabama that match your experience and apply in just a few clicks.
Find Data And Analytics JobsData And Analytics Jobs by City in Alabama
Where Alabama roles are concentrated, by current openings.
Data And Analytics Job Market in Alabama
A snapshot from current Alabama openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
What Alabama Employers Look For
The qualifications that appear most often in data and analytics jobs across Alabama.
- Bachelor's degree in data science, statistics, mathematics, computer science, or a related field
- Proficiency in SQL and at least one analytical programming language such as Python or R
- Experience with business intelligence tools such as Tableau, Power BI, or Qlik
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong communication skills for presenting findings to non-technical stakeholders
- Experience with data governance, data quality standards, or regulatory compliance reporting
Data And Analytics Jobs in Alabama: Frequently Asked Questions
How do you become a data and analytics in Alabama?
Most data and analytics roles in Alabama require at least a bachelor's degree in a quantitative field such as statistics, data science, computer science, or business analytics. There is no state-issued license specific to this field in Alabama, so hiring is credential-driven. A strong portfolio demonstrating SQL, Python, and visualization skills is typically the deciding factor. Certifications from vendors such as Microsoft, Google, or Tableau are widely recognized by Alabama employers and can accelerate entry into the field.
Which companies hire data and analyticss in Alabama?
Alabama data and analytics roles are posted by 4P Consulting, DEPLOY, and Cab Tek and others right now, based on current listings on Migrate Mate as of July 2026. Alabama's mix of large healthcare networks, defense contractors in the Huntsville corridor, and financial institutions in Birmingham creates consistent, multi-sector demand for data and analytics professionals.
Which Alabama cities have the most data and analytics jobs?
Birmingham, Huntsville, and Troy have the most data and analytics openings in Alabama. Birmingham drives volume through its concentration of financial services, healthcare systems, and corporate headquarters, while Huntsville's defense and aerospace sector generates strong demand for data professionals, and Montgomery's state government and insurance industries contribute a steady share of analytical roles.
Are there remote data and analytics jobs in Alabama?
Yes, and more than most fields. About 40% of data and analytics openings tied to Alabama are remote or hybrid as of July 2026, reflecting how naturally this work translates to distributed environments. Roles focused on reporting, modeling, and business intelligence are the most likely to be offered remotely, while positions requiring close collaboration with on-site operations or specialized lab infrastructure tend to be in-person.
How can I get hired as a data and analytics in Alabama with little or no experience?
The most realistic entry path is an analyst or reporting associate role, which Alabama employers in healthcare, banking, and government routinely fill with recent graduates. Huntsville Hospital and the University of Alabama Health System, for example, hire entry-level analysts from business and computer science programs. Building a portfolio of public datasets analyzed in Python or Tableau, paired with an entry-level certification, significantly strengthens an application. Lateral moves from adjacent roles such as financial analyst, operations coordinator, or quality assurance specialist are also a recognized entry route at many Alabama organizations.
Where can I find and apply to data and analytics jobs in Alabama?
You can find and apply to data and analytics jobs in Alabama on Migrate Mate, which lists current Alabama openings across industries and experience levels. Search the roles that match your background and apply directly to the ones that fit.
See All 12 Data And Analytics Jobs in Alabama
Find roles in Alabama that match your experience and apply in just a few clicks.
Find Data And Analytics Jobs