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Data Analytics Jobs in Madison, AL (NOW HIRING)

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ...

Senior People Analytics Data Analyst

Huntsville, AL · On-site

$134K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Data Science, Computer Science, Business Analytics, or a related field or equivalent in years of exp. * 8+ years of experience in business intelligence, data analytics, or ...

Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence ...

Data Analyst

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... analytics. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance * Bachelor's Degree * FIVE (5) years of experience as a data scientist, data analyst or data ...

... data analytics for desktop and web-developed visual analytic software - Facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance ...

Data Analyst

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... analytics. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance * Bachelor's Degree * FIVE (5) years of experience as a data scientist, data analyst or data ...

Data Analyst

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... analytics. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance * Bachelor's Degree * FIVE (5) years of experience as a data scientist, data analyst or data ...

New

Data Analyst

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... analytics. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance * Bachelor's Degree * FIVE (5) years of experience as a data scientist, data analyst or data ...

Data Scientist/Analytics Engineer

Huntsville, AL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist/Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart.

They are seeking a Data Analyst I to support client implementations and manage operational data ... Citizen • Must possess a Secret Clearance • 1-3 years of Army logistics or Army analytics ...

Senior Data Analyst

Huntsville, AL

$89K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's in Data Science, Operations Research or related field * 7+ years experience in analytics, 3 in supply chain * Data Mining * Statistical modeling * Machine learning * Tableau or Power BI If ...

New

Showing results 21-40

Data Analytics information

See Madison, AL salary details

$21

$49

$84

How much do data analytics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data analytics in Madison, AL is $49.05, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $55.58 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What job categories do people searching Data Analytics jobs in Madison, AL look for?

The top searched job categories for Data Analytics jobs in Madison, AL are:

What cities near Madison, AL are hiring for Data Analytics jobs?

Cities near Madison, AL with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Madison, AL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,027 per year, or $49.1 per hour.

Full-time

Re-posted 29 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.