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Weekend Data Analyst Fintech Jobs in Massachusetts

Technical Business Analyst

Cambridge, MA · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... This role is about using data to make our company better across all areas of the business, so we ...

Technical Business Analyst

Cambridge, MA · On-site +1

$75K - $90K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... This role is about using data to make our company better across all areas of the business, so we ...

Data Program Architect

Newton, MA · On-site

$180 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... fintech environments strongly preferred. * Deep expertise in enterprise data architecture, including transactional and analytical platforms that support scale, regulatory compliance, and governed ...

Data Governance & Delivery Lead

Boston, MA · On-site

$134K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... fintech, financial services, or another regulated industry. * Strong working knowledge of Data Engineering, Analytics Engineering, and Data Science functions, including how ownership boundaries and ...

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own the data warehouse strategy, governance and execution of the finance ledger * Build and lead a ... We have developed several unique fintech solutions that address everything from pricing volatility ...

Senior Behavioral Experimentation Analyst

Boston, MA · On-site

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role sits at the unique intersection of data analytics, behavioral science, and ... Experience within fintech, financial services, digital products, or customer experience ...

... data analysis, or analytics engineering roles, ideally supporting SaaS, payments, fintech, ecommerce, or enterprise software products. • Expert-level proficiency in SQL and experience with ...

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Showing results 1-20

Weekend Data Analyst Fintech information

What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

What are the most commonly searched types of Data Analyst Fintech jobs in Massachusetts? The most popular types of Data Analyst Fintech jobs in Massachusetts are:
What job categories do people searching Weekend Data Analyst Fintech jobs in Massachusetts look for? The top searched job categories for Weekend Data Analyst Fintech jobs in Massachusetts are:
What cities in Massachusetts are hiring for Weekend Data Analyst Fintech jobs? Cities in Massachusetts with the most Weekend Data Analyst Fintech job openings:

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 10 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 extension