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Internship Quantitative Data Analyst Jobs in Michigan

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research) * Minimum of 5 years of experience in analytics, business ...

A degree in a quantitative field (Statistics, Math, CS, Economics, Physics) or equivalent technical experience. * 2+ years of experience in data analysis, with a proven track record in data wrangling ...

Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research) * Minimum of 5 years of experience in analytics, business ...

Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. * One plus (1+) year experience working with cloud Big Data Stack to orchestrate ...

Compiles qualitative and quantitative data for the Quality Improvement initiatives for the agency ... Ability to analyze data and use it to inform decisions * Possess excellent organizational, written ...

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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 Michigan?

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

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

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

Data Analyst

Tech Tammina LLC

Warren, MI • On-site

Other

Re-posted 5 days ago


Job description

Role: Data Analyst

Location: Warren, MI (Hybrid)
Duration: Long tern

Rate: Market

Key Responsibilities

  • Partner with business subject matter experts to gather and document analytical requirements
  • Prioritize and manage multiple deliverables based on business needs, timelines, and urgency
  • Design and implement analytics solutions that support decision-making and performance tracking
  • Analyze structured and unstructured data to uncover patterns, trends, and inconsistencies
  • Deliver insights through clear reporting and data visualization using Tableau and Power BI
  • Recommend process improvements and advanced analytics solutions to streamline workflows
  • Maintain data quality, security, and performance standards across all reporting systems
  • Develop dashboards, ad hoc reports, and executive-ready summaries of analytical findings
  • Collaborate with internal IT teams, business units, field support, and third-party vendors
  • Document procedures and maintain reporting standards for repeatable tasks and outputs
  • Stay current with evolving analytics tools, technologies, and best practices

Qualifications

  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
  • Minimum 5 years of experience in data analytics, business intelligence, or data-driven consulting
  • Experience supporting Sales and Marketing leadership in a dynamic, agile environment
  • Strong written and verbal communication skills, including the ability to present to executives
  • Proven ability to simplify complex problems and develop creative, data-driven solutions
  • Collaborative team player with the ability to influence and work across all organizational levels

Technical Proficiencies

  • Microsoft Office Suite (Excel, Word, PowerPoint)
  • Visual Basic for Applications (VBA)
  • Tableau and Power BI
  • Databricks, Python (Scripting), Jupyter, Spark, Hue
  • Oracle PL/SQL, Oracle DBMS, Hadoop DBMS
  • HTML, CSS, JavaScript
  • Strong experience navigating complex data environments and structures