ZipRecruiter

Log In

1

Data Analyst Ai Jobs in Decatur, AL (NOW HIRING)

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

DataAnnotation

Treasury Analyst - AI Trainer

Huntsville, AL · Remote

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact. Work you'll do As an AI and Data Science Engineer on ...

Chenega Corporation

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

... Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and ... The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

... Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and ... The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · Hybrid

$112K - $135K/yr

... Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and ... The Data Engineer ensures data is secured through testing, implementation, design, and monitoring.

Chenega MIOS

Data Engineer

Huntsville, AL · On-site

$109K - $131K/yr

... Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and ... The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

... Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and ... The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics ...

next page

Showing results 1-20

All JobsData Analyst Ai JobsData Analyst Ai Jobs in Decatur, AL

Data Analyst Ai information

See Decatur, AL salary details

$31.9K

$77.5K

$127.5K

How much do data analyst ai jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data analyst ai in Decatur, AL is $77,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $90,900.00 per year, depending on experience, location, and employer.

What is a Data Analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

Can AI do the job of a data analyst?

AI can automate many tasks performed by data analysts, such as data cleaning, basic analysis, and reporting, using tools like machine learning algorithms and data visualization software. However, human skills in interpreting complex data, making strategic decisions, and understanding business context remain essential for comprehensive analysis. Data analysts often use AI as a tool to enhance productivity but still require critical thinking and domain expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist or AI research director, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What are the key skills and qualifications needed to thrive as a Data Analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

How does a Data Analyst specializing in AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

Which 3 jobs will survive AI?

Data Analysts with expertise in AI and machine learning are likely to continue thriving as organizations rely on data-driven decision-making. Roles such as healthcare professionals and skilled tradespeople are also expected to remain in demand due to the need for human judgment and physical skills that AI cannot replicate. These jobs typically require specialized knowledge, critical thinking, and adaptability to technological changes.

What do AI data analysts do?

AI data analysts collect, process, and analyze large datasets to extract insights that inform AI models and business decisions. They use tools like SQL, Python, and machine learning frameworks to clean data, develop algorithms, and evaluate model performance, often working closely with data scientists and engineers.
What are the most commonly searched types of Data Analyst Ai jobs in Decatur, AL? The most popular types of Data Analyst Ai jobs in Decatur, AL are:
What job categories do people searching Data Analyst Ai jobs in Decatur, AL look for? The top searched job categories for Data Analyst Ai jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Data Analyst Ai jobs? Cities near Decatur, AL with the most Data Analyst Ai job openings:
Data Analyst Ai jobs near you
DATA ENGINEER/DATA ANALYST

DATA ENGINEER/DATA ANALYST

Ignite Fueling Innovation

Huntsville, AL

Full-time

Re-posted 4 days ago

Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is hiring an experienced Data Engineer/Data Analyst with an active SECRET clearance to support the government customer in Huntsville, Alabama.Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment

This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products. The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives.

Essential Functions, Responsibilities, and Duties Responsibilities include, but are not limited to: Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions. Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform. Develop and support dashboards, reports, workflows, and operational data products for mission and business users.

Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources. Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources. Design and implement logical and physical data models that support reporting, analysis, and operational use cases.

Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements. Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems. Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources.

Support data quality, data lineage, data governance, and traceability requirements across analytics solutions. Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs. Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts.

Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments. Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer.

Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions. Work Experience, Knowledge, Skills, and Abilities Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience. Minimum of 72 months of related experience aligned to the position requirements.

Demonstrated experience building end-to-end data and analytics solutions in: o data integration o data transformation o data modeling o data warehousing o analytics o dashboarding and reporting Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments. Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting. Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics.

Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows. Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles. Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle.

Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs. Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment. Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail.

Preferred Qualifications Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage. Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows. Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms.

Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets. Familiarity with agile delivery methodologies and iterative analytics development.Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment. This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives. Essential Functions, Responsibilities, and Duties Responsibilities include, but are not limited to: Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions.

Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform. Develop and support dashboards, reports, workflows, and operational data products for mission and business users. Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources.

Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources. Design and implement logical and physical data models that support reporting, analysis, and operational use cases. Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements.

Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems. Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources. Support data quality, data lineage, data governance, and traceability requirements across analytics solutions.

Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs. Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts. Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments.

Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer. Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions.

Work Experience, Knowledge, Skills, and Abilities Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience. Minimum of 72 months of related experience aligned to the position requirements. Demonstrated experience building end-to-end data and analytics solutions in: o data integration o data transformation o data modeling o data warehousing o analytics o dashboarding and reporting Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments.

Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting. Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics. Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows.

Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles. Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle. Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs.

Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment. Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail. Preferred Qualifications Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage.

Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows. Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms. Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets.

Familiarity with agile delivery methodologies and iterative analytics development.

Apply