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Associate Degree In Data Analytics Jobs in Alabama

Urology Centers of Alabama

Data Analyst

Homewood, AL · On-site

Required Qualifications · Bachelor's degree in Data Analytics, Health Informatics, Business, or related field · 3+ years of experience in healthcare data analytics (multi-specialty or oncology ...

4pconsultinginc

Data Analyst 1

Auburn, AL · On-site

Data Analyst I Location: Arcadia Data Center, Auburn, Alabama Client- Southern Company Services ... Associate's degree in IT, Computer Science, or related field; or equivalent hands-on experience.

Troy University

Lecturer - Data Analytics

Troy, AL · On-site

In Class Teaching Percentage Online Teaching Percentage Minimum Qualifications * Master's of Business Administration or Master of Science degree with 18 credit hours in Data Analytics or a related ...

Pwc

Data Engineer - Senior Associate

Birmingham, AL · On-site

$77K - $202K/yr

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Alabama

Associate Degree In Data Analytics information

See Alabama salary details

$2.9K

$5.7K

$8.2K

How much do associate degree in data analytics jobs pay per month?

As of Jul 11, 2026, the average monthly pay for associate degree in data analytics in Alabama is $5,701.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,175.00 and $6,083.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Alabama? For Associate Degree In Data Analytics jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Alabama look for? The top searched job categories for Associate Degree In Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Associate Degree In Data Analytics jobs? Cities in Alabama with the most Associate Degree In Data Analytics job openings:
Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Alabama as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,421 per year, or $32.9 per hour.

Data Analytics Analyst I

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 14 days ago

Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
  • Build reports, dashboards, charts, and visual presentations for business users.
  • Support data extraction, transformation, and loading processes.
  • Work with databases and structured datasets to prepare data for analysis.
  • Perform statistical analysis and hypothesis testing to support business decisions.
  • Assist with predictive modeling and basic machine learning techniques.
  • Validate data accuracy and ensure reporting consistency.
  • Collaborate with business, technical, and operational teams to understand data needs.
  • Document data processes, reporting logic, and analysis results.

Required Qualifications

  • 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency with SQL for querying and analyzing data.
  • Experience with Python or R for data analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
  • Basic understanding of ETL processes and database concepts.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail and ability to work with large datasets.
  • Good written and verbal communication skills.

Preferred Qualifications

  • Experience with machine learning or predictive analytics.
  • Familiarity with statistical analysis and hypothesis testing.
  • Experience working with multiple data sources and databases.
  • Knowledge of data cleaning, data validation, and data quality practices.
  • Exposure to business intelligence or dashboard development.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation