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Summer Python Sql Jobs in Massachusetts (NOW HIRING)

Grand Circle LLC

Marketing Analytics Manager

Boston, MA · On-site

$135K - $155K/yr

Proficiency in SQL; experience with BI tools such as Tableau, Looker Studio, or Power BI. * Hands ... Python or R for analytical work. Total Rewards The base salary range for this role is $135,000-$155 ...

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Summer Python Sql information

What is the difference between Summer Python Sql vs Summer Data Analyst?

AspectSummer Python SqlSummer Data Analyst
Required SkillsPython, SQL, data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentProgramming, coding projectsData interpretation, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

Summer Python Sql focuses on coding and data manipulation using Python and SQL, often in tech-driven environments. Summer Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles require SQL skills, but Python is central to Summer Python Sql, while data analysis tools are key for Summer Data Analyst. They share industry overlap but differ in daily tasks and skill emphasis.

What are the most commonly searched types of Python Sql jobs in Massachusetts? The most popular types of Python Sql jobs in Massachusetts are:
Summer Python Sql jobs near you

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 27 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extensionÂ