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Internship Quantitative Data Analyst Jobs in Alabama

Senior Data Analyst

Huntsville, AL · On-site

$90 - $130/hr

Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field. * 7 or more years of professional experience in data analytics ...

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field. * 7 or more years of professional experience in data analytics ...

... op/internship and/or up to 2 years of relevant professional experience. Experienced Level: A ... Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, Power BI) Strong knowledge of ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related quantitative field. * Five (5) to seven (7) years of professional experience as a data analyst or similar data-focused ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related quantitative field. * Five (5) to seven (7) years of professional experience as a data analyst or similar data-focused ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related quantitative field. * Five (5) to seven (7) years of professional experience as a data analyst or similar data-focused ...

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Internship Quantitative Data Analyst information

What is the difference between Internship Quantitative Data Analyst vs Data Analyst?

AspectInternship Quantitative Data AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's degree in similar fields; some roles prefer experience or certifications
Work EnvironmentInternship setting, often part-time or temporary, in corporate or finance sectorsFull-time roles in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies to train and evaluate potential full-time analystsEstablished roles for data-driven decision making across industries
Common Search & Comparison IntentYesYes

The main difference between an Internship Quantitative Data Analyst and a Data Analyst is experience level and employment status. Internships are temporary positions aimed at gaining skills, while Data Analyst roles are full-time positions requiring more experience. Interns often work under supervision, whereas Data Analysts independently handle data projects.

What are the most commonly searched types of Quantitative Data Analyst jobs in Alabama?

The most popular types of Quantitative Data Analyst jobs in Alabama are:

What cities in Alabama are hiring for Internship Quantitative Data Analyst jobs?

Cities in Alabama with the most Internship Quantitative Data Analyst job openings:

Senior Data Analyst

Huntsville, AL • On-site

Socket.dev
Network Security • 1 - 10 employees

$90 - $130/hr

Other

Posted 8 days ago


Job description

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation and Missile Command (AMCOM) Logistics Center (ALC) Supply Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business intelligence development. This position is responsible for transforming raw Army logistics data into advanced descriptive, predictive, and prescriptive models that optimize supply availability, reduce pipeline cycle times, and support AI-driven decision-making for defense supply chain leadership.

Key Responsibilities
  • Lead advanced data analytics, statistical modeling, data mining, and predictive decision-support activities for AMCOM SCMD.
  • Design, build, and deploy advanced analytical models to forecast supply demand, asset failure rates, repair turnaround times, and inventory requirements.
  • Develop interactive business intelligence dashboards, executive visualizations, and reporting tools using Power BI, Tableau, and custom analytics software.
  • Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources.
  • Apply statistical techniques, regression analysis, machine learning algorithms, and operations research methodologies to solve complex supply chain challenges.
  • Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance IAW contract AQL standards (<3% error rate, >95% turnaround).
  • Collaborate with Senior Logistics Analysts to translate operational supply chain queries into mathematical models and data science solutions.
  • Evaluate supply chain risk factors, readiness impacts, and mitigation strategies using predictive data simulation.
  • Automate recurring data extraction, reporting processes, and performance metric tracking to enhance analytical efficiency.
  • Develop technical documentation, statistical reports, trend analysis products (CDRL A009), and briefing decks for military and civilian executives.
  • Provide technical direction, code review, mentorship, and guidance to junior program/data analysts.
  • Ensure data handling complies with DoD cybersecurity directives, CUI protocols, AR 25-2, and Army information assurance standards.
  • Coordinate with internal software developers to integrate analytical algorithms into custom web applications and decision-support tools.
  • Participate in technical working groups, Army AI/ML initiatives, and enterprise data architecture discussions.
Required Qualifications
  • Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7 or more years of professional experience in data analytics, data science, or statistical modeling.
  • 3 or more years of experience applying data analytics within a supply chain, logistics, or defense operational environment.
  • Demonstrated expertise in data mining, statistical analysis, predictive modeling, and machine learning techniques.
  • Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL).
  • Strong capability to communicate complex mathematical and analytical findings to non-technical executive stakeholders.
  • Ability to mentor and provide technical oversight to supporting junior data analysts.
  • Must possess or be eligible to obtain and maintain a SECRET security clearance eligibility.
Preferred Experience
  • Direct experience analyzing Army aviation, missile, or defense supply chain data structures.
  • Familiarity with Army enterprise data platforms (LMP, Vantage, AESIP, GCSS-Army).
  • Experience developing artificial intelligence (AI) or machine learning (ML) solutions for demand planning or inventory optimization.
  • Knowledge of big data technologies, cloud data environments (GCC High), and SQL database architectures.
  • Experience supporting defense acquisition metrics, readiness reporting, and executive decision-support.
  • Current SECRET security clearance eligibility.
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