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Data Analytics Jobs in Alabama (NOW HIRING)

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

This role is integral to analyzing app usage data, deriving insights to inform internal strategies, and enhancing our app offerings. What We Offer: * Opportunity to gain professional experience and ...

Reporting to the Senior Manager of Data Analytics, this mid-level role combines hands-on reporting and dashboard work with deeper marketing analytics responsibilities -- including experimentation ...

We have an outstanding Contract position for a Data Analyst to join a leading Company located in the Huntsville, AL surrounding area. **US Citizenship is required.** **Candidate must possess an ...

Data Analyst - AMG

Birmingham, AL ยท On-site

$52K - $127K/yr

... Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Analytical Thinking, Core Application Systems, Data Administration, Database Structures, Data Warehousing, Effective ...

Data Analyst

Huntsville, AL ยท On-site

$43.26 - $52.88/hr

We have an outstanding Contract position for a Data Analyst to join a leading Company located in the Huntsville, AL surrounding area. **US Citizenship is required.** **Candidate must possess an ...

Lead and manage analytics and BI-related project activities, ensuring deliverables align with ... Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other ...

Showing results 41-60

Data Analytics information

See Alabama salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Alabama is $49.62, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $56.20 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 are the most commonly searched types of Data Analytics jobs in Alabama? The most popular types of Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Data Analytics jobs? Cities in Alabama with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,213 per year, or $49.6 per hour.

Analyst, Enterprise Data

McLeod Software

Birmingham, AL โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Description
Purpose of this Position:
The Enterprise Data Analyst is responsible for both designing and developing our data architecture and performing data analysis to support business decision-making. This role encompasses the end-to-end process of data collection, transformation, storage, and analysis. The Enterprise Data Analyst will work with departments across the organization to provide data solutions to our internal teams, ensuring data is reliable, accessible, and actionable, driving insights and strategic initiatives throughout the organization. They will also assist in deploying special projects for the other departments as requested.
Essential Duties and Responsibilities:
  • Design, implement, and maintain data pipelines and ETL processes to support data reporting and dashboards.
  • Organize, model, and store raw data in our data warehouse and data lake.
  • Analyze and interpret data using statistical methods and tools.
  • Create and maintain reports, dashboards, and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Ensure the reliability, efficiency, and quality of data by developing and implementing processes for data cleaning, transformation, and validation.

Competencies:
  • Ability to learn internal software and systems.
  • Strong written and verbal communication skills.
  • Ability to manage competing projects and priorities effectively.
  • Ability to interact with varying organizational levels confidently.
  • Ability to communicate technical information coherently to a variety of stakeholders.
  • Ability to confidentially interact with and interpret organizational information.
  • Strong analytical skills.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
  • Bachelor's degree and 2+ years of experience in data analysis, interpretation, and visualization; or an equivalent combination of education and experience, including 6+ years of experience in data analysis, interpretation, and visualization.
  • Experience with enterprise software or the transportation and logistics industry is a plus.
  • Advanced proficiency with Microsoft Office Suite.
  • Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required.
  • Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI, Looker) required.
  • Familiarity with big data technologies and platforms such as Delta Lake, Spark, and Databricks required.
  • Experience with SQL and relational databases is highly preferred.
  • Knowledge of schema design, data modeling, and data analysis is preferred.
  • Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.
  • Preferred certifications in Azure, Power BI, Data Analytics, or Data Engineering include, but are not limited to:
    • Azure Data Engineer Associate
    • Microsoft Power BI Data Analyst (PL-300)
    • Microsoft Azure Fundamentals
    • DataCamp Data Engineer Certification
    • DataCamp Data Analyst Certification
    • DataCamp Data Scientist Certification
    • Other related cloud, analytics, or data engineering certifications

Why McLeod?
At McLeod Software, we believe that our employees are our greatest competitive advantage. Each employee contributes directly to McLeod Software's growth and success. When you join McLeod, you're joining a company that's built for the long haul-with a clear vision, strong leadership, and a commitment to investing in our people.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.