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Data Analytics Jobs in Madison, AL (NOW HIRING)

Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics, Computer Science, Business Analytics, or a closely related quantitative field. Required Experience:

Senior Data Analyst

Huntsville, AL · On-site

$115K - $149K/yr

Serve as the Lead for Data Analytics and Modeling supporting advanced supply chain analysis * Lead advanced data analytics and predictive modeling efforts to identify trends, process gaps ...

Serve as the Lead for Data Analytics and Modeling supporting advanced supply chain analysis Lead advanced data analytics and predictive modeling efforts to identify trends, process gaps, performance ...

Senior Data Analyst

Huntsville, AL · On-site

$99K - $138K/yr

Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics, Computer Science, Business Analytics, or a closely related quantitative field. Required Experience:

Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics, Computer Science, Business Analytics, or a closely related quantitative field. Required Experience:

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Data Analytics information

See Madison, AL salary details

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$49

$84

How much do data analytics jobs pay per hour?

As of Sep 13, 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 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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are popular job titles related to Data Analytics jobs in Madison, AL?

For Data Analytics jobs in Madison, AL, the most frequently searched job titles 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, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $102,027 per year, or $49.1 per hour.

Senior Data Analyst -- Army Supply Chain Analytics (SCOS)

Huntsville, AL • On-site

$82K - $103K/yr

Other

Posted 17 days ago


Job description

Senior Data Analyst — Army Supply Chain Analytics (SCOS)
  • Government/Military

Location: Redstone Arsenal / Huntsville, Alabama (on site)

Employment: Full time; contingent upon contract award

Solicitation: W31P4Q-26-R-A002

Axyde Analytics is recruiting a Senior Data Analyst to lead data analytics and modeling for our proposed SCOS program. This key-personnel position will oversee descriptive, diagnostic, predictive, and prescriptive analytical products supporting Army aviation and missile-system supply chains.

KEY RESPONSIBILITIES
  • Lead advanced data analytics, modeling, and visualization and mentor junior analysts.
  • Collect, clean, integrate, and analyze structured and unstructured supply-chain data from authorized sources.
  • Apply data mining, statistical analysis, trend analysis, causal analysis, machine learning, and quality-control methods.
  • Analyze MRP adherence, forecast accuracy, supply availability, excess inventory, demand, receipts, issues, and other enterprise metrics.
  • Produce traceable recommendations, reports, briefings, and monthly analytical products for operational leaders.
  • Document sources, transformations, assumptions, exceptions, model limitations, validation, and peer review.
MINIMUM QUALIFICATIONS
  • Bachelor’s degree in Data Science, Operations Research, Statistics, Analytics, or a related field.
  • At least 7 years of analytics experience.
  • At least 3 years of supply-chain analytics experience.
  • Demonstrated skill in data mining, statistical modeling, machine learning, and Tableau or Power BI.
  • Strong analytical writing, visualization, briefing, and team-leadership skills.
  • Ability to work full time on site at Redstone Arsenal.
PREFERRED QUALIFICATIONS
  • Army, AMCOM, aviation, missile, wholesale-supply, LMP, or operations-research experience.
  • SQL, Python or R, Excel, and controlled model-development experience.
  • Active Secret clearance.
SECURITY AND EMPLOYMENT CONDITIONS

All SCOS personnel must have or be eligible to obtain and maintain a Secret clearance for the duration of the contract. Before performing classified work or charging labor requiring classified access, personnel must satisfy applicable Government eligibility, access, investigation, training, and site-access requirements. U.S. citizenship is required where necessary for clearance eligibility. Employment is contingent upon contract award, completion of Axyde’s hiring process, and satisfaction of all Government security and access requirements. This posting is not a guarantee of employment or clearance sponsorship.

Axyde Analytics is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business need without unlawful discrimination.

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