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Entry Level Data Analysis Jobs in Alabama (NOW HIRING)

StoneX Group

Junior Data Analyst

Birmingham, AL · On-site

Supporting data engineering and analytics efforts through data extraction, transformation, and ... This onsite entry level role in Birmingham, AL offers compensation typical for entry-level ...

Pacer Group

Electrical Engineer- Entry Level

Auburn, AL · On-site

$30 - $33/hr

Electrical Engineer- Entry Level Location: Auburn, AL 36832 Pay rate: $30-$33 per hour Shift ... Analyze data from monitoring systems, smart grids, and sensors to gain insights into distribution ...

Dexian

Entry-Level Computer Systems Analyst

Birmingham, AL · On-site

$28 - $31/hr

In-Person Interview Required! Entry-Level Computer Systems Analyst Birmingham, AL: 100% Onsite 12 ... Degree (or in progress) in IT, CS, GIS, or Data. Excel proficiency. Bonus: SQL, Python, or GIS ...

Leidos

Entry-Level Software Engineer

Huntsville, AL · On-site

$57.85K - $104.58K/yr

Leidos Defense Systems is seeking a talented Entry-Level Software Engineer to develop high ... data analytics, cybersecurity, logistics, training, and intelligence analysis and operations ...

Leidos

Entry-Level Software Engineer

Huntsville, AL

$57.85K - $104.58K/yr

Leidos Defense Systems is seeking a talented Entry-Level Software Engineer to develop high ... data analytics, cybersecurity, logistics, training, and intelligence analysis and operations ...

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Entry Level Data Analysis information

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$11

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How much do entry level data analysis jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level data analysis in Alabama is $29.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $33.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Alabama? The most popular types of Data Analysis jobs in Alabama are:
What are popular job titles related to Entry Level Data Analysis jobs in Alabama? For Entry Level Data Analysis jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Alabama look for? The top searched job categories for Entry Level Data Analysis jobs in Alabama are:
What cities in Alabama are hiring for Entry Level Data Analysis jobs? Cities in Alabama with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Alabama as of May 2026, with employment types broken down into 61% Full Time, 20% Part Time, 3% Temporary, and 16% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $62,076 per year, or $29.8 per hour.
Entry-Level Computer Systems Analyst

Entry-Level Computer Systems Analyst

Denken Solutions, Inc.

Birmingham, AL

$40/hr

Contractor

Posted 2 days ago

Job description

Entry-Level Computer Systems Analyst
600 18th Street North, Birmingham, AL 
Position Summary
We are seeking a motivated Entry-Level Computer Systems Analyst to support business and operational systems within a dynamic Vegetation Management utility services environment. This role focuses on data processing, system monitoring, reporting, workflow support, and process documentation.
The ideal candidate will assist in maintaining system accuracy, improving operational efficiency, and supporting ongoing technology and data initiatives.
Key Responsibilities
Monitor and process system-generated requests and records to ensure timely and accurate completion
Extract, compile, and maintain recurring operational data and reports for internal use
Execute and validate automated scripts and system processes; identify and escalate issues as needed
Support automated workflows, including system alerts and notifications tied to operational events
Assist with data preparation and validation for mapping, reporting, and system applications
Organize and structure large datasets for use in business and technical environments
Contribute to process improvement efforts by identifying repetitive tasks and workflow inefficiencies
Develop and maintain clear documentation of procedures, workflows, and standard operating practices
Support team knowledge management efforts to improve onboarding, training, and workload distribution
Required Qualifications
Bachelor’s degree (or in progress) in Computer Science, Information Systems, GIS, Data Analytics, or a related field
Basic understanding of data management, systems, and business processes
Proficiency in Microsoft Excel or similar data tools
Strong analytical and problem-solving skills with high attention to detail
Ability to manage multiple tasks and meet deadlines
Preferred Qualifications
Exposure to databases, scripting, or automation tools (e.g., SQL, Python, PowerShell)
Familiarity with mapping or geospatial data concepts (GIS experience a plus)
Experience with process documentation or workflow standardization
Understanding of system integrations, reporting tools, or enterprise applications
Key Skills
Data analysis and reporting
Process improvement and documentation
System monitoring and troubleshooting
Organization and time management
Effective written and verbal communication
What You Will Gain
Hands-on experience with real-world systems and operational data
Exposure to automation, reporting, and process optimization
Opportunity to contribute to system improvements and business efficiency
Foundational experience for a career in systems analysis or data-focused roles