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Associate Degree In Data Analytics Jobs in Decatur, AL

Cintel, Inc.

Data Analyst - Mid

Huntsville, AL

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience). * Five (5)+ years of relevant experience. * Experience with ...

Cintel Inc.

Data Analyst - Mid

Huntsville, AL · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience). * Five (5)+ years of relevant experience. * Experience with ...

Cintel Inc

Data Analyst - Mid

Huntsville, AL · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience). * Five (5)+ years of relevant experience. * Experience with ...

Leidos

Data Analyst

Huntsville, AL · On-site

Bachelor's degree from an accredited university in data science, mathematics, computer science, or an equivalent engineering or science degree with relevant analysis-related experience plus 4-8 years ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Decatur, AL

Associate Degree In Data Analytics information

See Decatur, AL salary details

$3K

$5.9K

$8.4K

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

As of Aug 21, 2026, the average monthly pay for associate degree in data analytics in Decatur, AL is $5,897.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,350.00 and $6,291.67 per month, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive with an associate degree in data analytics?

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.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What job categories do people searching Associate Degree In Data Analytics jobs in Decatur, AL look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Decatur, AL are:

What cities near Decatur, AL are hiring for Associate Degree In Data Analytics jobs?

Cities near Decatur, AL with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you

Senior Supply Chain Risk Analytics Engineer

QED Analytics Inc

Huntsville, AL • On-site

Full-time

Re-posted 6 days ago

Job description

Senior Supply Chain Risk Analytics Engineer / Analyst
Overview
We are seeking a highly skilled Senior Supply Chain Risk Assessment Engineer / Analyst to support the development, enhancement, and operation of a government-focused supply chain risk assessment capability. This role blends data analytics, system architecting, risk analysis, and stakeholder collaboration in a secure, mission-focused environment.
Key Responsibilities
Supply Chain Risk Analytics & Domain Expertise:
- Analyze defense industrial base and supply chain risk across foreign influence, cyber vulnerability, and financial security.
- Apply structured risk management principles and communicate findings and data limitations.
Data Management & ETL:
- Lead ETL efforts that integrate government and commercial datasets.
- Ensure data quality, traceability, and proper handling of sensitive information.
System Architecture & Platform Migration:
- Support design and evolution of government-developed analytics tools.
- Support migration to enterprise analytics platforms.
Visualization & Reporting:
- Develop dashboards, geo-maps, and supply chain visualizations.
- Produce standardized analytical reports and data exports.
Required Qualifications
- Bachelor's degree in engineering, data science, computer science, or related field.
- Proficiency in data analytics software (Excel, Access, Power BI).
- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.
- Experience working in government or defense environments.
- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.
Preferred Qualifications
- Advanced degree strongly preferred.
- Programming experience (Python, C++, R, etc)
- Familiarity with use of AI for research and software coding.
- TS clearance or ability to be granted a TS clearance.
Soft Skills
- Strong analytical and communication skills.
- Ability to work with ambiguous data and complex stakeholder environments.
- Self-starter who seeks innovative solutions to new and evolving problems.
Requirements
Required Qualifications
- Bachelor's degree in engineering, data science, computer science, or related field.
- Proficiency in data analytics software (Excel, Access, Power BI).
- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.
- Experience working in government or defense environments.
- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

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