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Associate Data Science Analyst Jobs in Alabama (NOW HIRING)

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Senior Associate, Data Architect

Huntsville, AL · On-site

$62.75 - $83.75/hr

Working with senior data architects, business intelligence analysts, and cross-functional teams ... Science, Physics, Mathematics, Engineering or related fieldor have completed their master's degree ...

$49K/yr

... science to apply scientific methods and techniques to analyze systems, processes, and/or ... data science analysis. 4. Ability to analyze, interpret, and apply data science rules and ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community. Your Work:

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Associate Data Science Analyst information

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 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 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 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 cities in Alabama are hiring for Associate Data Science Analyst jobs? Cities in Alabama with the most Associate Data Science Analyst job openings:
Infographic showing various Associate Data Science Analyst job openings in Alabama as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$90K/yr

Other

Posted 10 days ago


Job description

Employee will serve as a Social Science Analyst within Employee and Leadership Development (ELD), Institute for Learning, Education and Development (ILEAD), Human Capital Management located at a Veterans Healthcare System. The salary shown is the U.S. General Schedule and the salary will be adjusted based on location of selection. Locations are: Washington, DC; Cleveland, OH; St. Louis, MO; Oklahoma City, OK; Birmingham, AL; or Little Rock, AZ.Qualifications:Applicant(s) must meet at least one of the following Individual Occupational Basic Requirements. To receive credit, transcript(s) and/or clear details of related experience are required. Education cannot be credited without transcripts, and we may not make assumptions regarding experience.
  • Bachelor's Degree (or higher) with a major study in behavioral or social science; or related disciplines appropriate to the position, such as sociology, psychology, leadership development, organizational studies, or public health. OR
  • Combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field. OR
  • Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
In addition to the Basic Requirements described above, applicants must meet the specialized experience qualifications.
Specialized Experience: Requires one full year of specialized experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level (GS-12) in the normal line of progression for the occupation in the organization. Specialized experience includes:
  • Applying research principles and methods in a scientific or interdisciplinary area related to sociology, psychology, leadership development, organizational studies, or public health.
  • Collecting and analyzing data using qualitative and quantitative methods including skill using online data collection software systems (Verint, Qualtrics, or C-Sharp) and statistical computation systems (SPSS, SAS, or R).
  • Translating analytic results into policy and program recommendations to advise decision makers on indicators related to effective leadership development.
  • Developing and implementing data-informed survey tools and metrics to evaluate the effectiveness of leadership development programs, and measure leadership career aspirations of the workforce.
  • Building and testing multivariate statistical models to project succession planning pathways, forecast pipeline development needs, and assessing the impact of leadership programs.
NOTE: Resume(s) must clearly demonstrate the related specialized experience to qualify for this GS-13 position.
Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), your responses on the application questionnaire, and your responses to all assessments required for this position.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.Education:IMPORTANT: A transcript must be submitted with your application if you are basing the Basic Requirements on education.
There is no educational substitution for the specialized experience at this grade level.
NOTE: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER