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Associate Data Science Analyst Jobs in Alabama (NOW HIRING)

... Data Analyst to function full-time within the Advanced Sensors and Protective Technologies ... You will join a diverse team of software developers, engineers, and scientists to help create ...

Data Science: Competence in statistical analysis, hypothesis testing, and predictive machine learning modeling. Dexian stands at the forefront of Talent + Technology solutions with a presence ...

Data Science: Competence in statistical analysis, hypothesis testing, and predictive machine learning modeling. Dexian stands at the forefront of Talent + Technology solutions with a presence ...

Key Responsibilities Analyze complex datasets and generate actionable insights Build, optimize, and ... of experience in Data Science Strong skills in Python/R, SQL, ML algorithms, and statistics ...

Position Information Position Title Assistant/Associate/Full Professor in Computer Science Job ... Cybersecurity, Al, machine learning, big data, data mining, statistical analysis, data engineering ...

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Associate Data Science Analyst information

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

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What cities in Alabama are hiring for Associate Data Science Analyst jobs? Cities in Alabama with the most Associate Data Science Analyst job openings:
Associate Director, Data Analytics - 005311

Associate Director, Data Analytics - 005311

University of South Alabama

Mobile, AL • On-site

$58.40K - $58.90K/yr

Full-time

Posted 12 days ago


University Of South Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

345th of 530 rated colleges and universities


Job description

Posting Details
Position Information
Position Number
005311
Position Title
Associate Director, Data Analytics - 005311
Division
Academic Affairs
Department
330100 - Institutional Research
Minimum Qualifications
Bachelor's degree in business, computing, engineering, statistics, or a related field from an accredited institution as approved and accepted by the University of South Alabama and six years of related professional experience. An equivalent combination of education and experience may be considered.
Preferred Qualifications
Experience in institutional research is preferred.
Job Description Summary
The University of South Alabama's department of Institutional Research is seeking to hire an Associate Director, Data Analytics. Interested candidates should apply to be considered.
Essential Functions
These are the job duties required of the position.
Essential Functions
  • Generates standard and custom reports and dashboards summarizing enrollment, student success, or other institutional summaries for review by executives, managers and other personnel.
  • Conducts robust statistical analysis in using advanced techniques for data modeling and predictive analytics.
  • Leads efforts in reporting data to inform decisions pertaining to enrollment and student success.
  • Publishes data visualizations related to student retention, graduation, persistence, and achievement.
  • Oversees and serves as the primary contact for data integrity of data maintained by Institutional Research in business intelligence tools such as Tableau.
  • Devises methods for identifying data patterns and trends in available information sources.
  • Ensures the use of business intelligence applications enhances business decision-making capabilities.
  • Strengthens data-informed decision-making by leading the design, user experience, and delivery of institutional dashboards and analytical tools.
  • Serves on committees as needed.
  • Provides training and education to support dashboard adoption, data literacy and effective use of BI tools and data.
  • Regular and prompt attendance.
  • Ability to work schedule as defined and additional hours as required.
  • Related duties as required.

Posting Information
Number of Vacancies
1
Position End Date (if temporary)
Job Open Date
02/19/2026
Job Close Date
Open Until Filled
Yes
Special Instructions to Applicants
Working Days
Monday - Friday
Working Hours
8:00 a.m. - 5:00 p.m.
Job Location
Main Campus
Full-time or Part-Time
Full Time
Regular or Temporary
Regular

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