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Data Analytics Jobs in Auburn, AL (NOW HIRING)

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 ...

Data Analyst IV Location: 1515 Pumphrey Ave. Auburn , AL 36832 Duration: 7 Months Client: Southern Company Services Position Overview The Data Analyst IV plays a critical role in supporting the ...

... analytics. Responsibilities : • Develop and automate data workflows for analysis and reporting. • Collaborate with researchers, engineers, and industry partners to solve complex data problems ...

Data Analyst I Location: Arcadia Data Center, Auburn, Alabama Client- Southern Company Services Contract- 6 Months Job Summary The Data Analyst I at the Arcadia Data Center is responsible for the ...

FP&A Financial Analyst, Sr.

Tallassee, AL · On-site

$72K - $89K/yr

Develop and utilize forward-looking data analytics, visualization, and trend analysis to inform financial strategy and decision making * Perform analysis on customer margins in detail by contract ...

Systems Analyst

Tuskegee, AL · On-site

$70 - $90/hr

Proficiency in data analysis tools, system modeling, and documentation platforms * Preferred experience with lab operations, system testing, and configuration management Physical Demands * Ability to ...

Desktop Support Tech - Auburn , AL

Auburn, AL · On-site

$17.50 - $22/hr

Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services. Founded in , the company is headquartered in Sugar Land, USA, with a team of 201-500 employees. The ...

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Data Analytics information

See Auburn, AL salary details

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$45

$78

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Auburn, AL is $45.75, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $51.83 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 the most commonly searched types of Data Analytics jobs in Auburn, AL?

The most popular types of Data Analytics jobs in Auburn, AL are:

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

For Data Analytics jobs in Auburn, AL, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Auburn, AL look for?

The top searched job categories for Data Analytics jobs in Auburn, AL are:

What cities near Auburn, AL are hiring for Data Analytics jobs?

Cities near Auburn, AL with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Auburn, AL as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,165 per year, or $45.8 per hour.

Student Developer & Data Analyst

Auburn University

Auburn University, AL • On-site

$10/hr

Full-time

Posted 26 days ago


Auburn University rating

6.5

Company rating: 6.5 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

519th of 631 rated colleges and universities


Job description

Overview
Supports the Auburn University Subject Matter Experts (AUSME) development team by assisting with programming tasks, data analysis, and system improvements. Responsibilities include implementing new features in Python, managing MySQL databases, working with server-side components, version control (GitHub), and handling data analytics tasks such as dataset management, data quality checks, and performance reporting. This position offers hands-on experience working on a real production system used across Auburn University.
Check out our current tool at: https://ausme.auburn.edu/
Responsibilities
  • Assist with the development of new Auburn University Subject Matter Experts (AUSME) system features using Python.
  • Work with MySQL to query, update, and maintain Auburn University Subject Matter Experts (AUSME) datasets.
  • Support server-side scripts, data pipelines, and backend processes.
  • Use GitHub for version control, issue tracking, and collaboration.
  • Perform data analytics tasks, including dataset validation, data cleaning, data visualization, and generating usage or performance reports.
  • Analyze Google Analytics and other system metrics to support decision-making.
  • Help review and curate AUSME data to ensure accuracy and consistency.
  • Collaborate with the Auburn University Subject Matter Experts development team to troubleshoot bugs, test new features, and ensure smooth system operation.

Qualifications
  • Enrolled student at Auburn University

Minimum Knowledge, Skills, and Abilities
  • Proficiency in Python (ability to write scripts, handle data, and work with APIs).
  • Familiarity with MySQL or other relational databases.
  • Experience with GitHub or other version control tools.
  • Understanding of server-side scripting or willingness to learn.
  • Experience or interest in data analytics
  • Experience with Google Analytics (preferred but not required).
  • Highly attentive to detail.
  • Curiosity, creativity, and willingness to learn new technologies.

Why Work at Auburn?
Why should YOU consider student employment at Auburn University?
  • Gain valuable work experience! Student employment allows you to explore different interests, identify strengths, and make informed decisions about your future career goals.
  • Build your network! Interacting with faculty, staff, and fellow students can lead to valuable connections and potential mentors.
  • Make a difference! Have the satisfaction of knowing YOU are a part of providing the premier academic experience at Auburn and the life-changing work our students and employees perform.

Equal Opportunity Compliance Statement
It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more.

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