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Weekend Data Analyst Fintech Jobs in Saugus, MA (NOW HIRING)

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

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

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

Perform data analysis (SQL, Excel, BI tools) to support requirement validation and decision-making ... Stay up to date with industry trends, emerging technologies, and regulatory changes in the FinTech ...

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

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

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

... 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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Weekend Data Analyst Fintech information

See Saugus, MA salary details

$34.5K

$84K

$138.2K

How much do weekend data analyst fintech jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend data analyst fintech in Saugus, MA is $83,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 per year, depending on experience, location, and employer.

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 popular job titles related to Weekend Data Analyst Fintech jobs in Saugus, MA? For Weekend Data Analyst Fintech jobs in Saugus, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst Fintech jobs in Saugus, MA look for? The top searched job categories for Weekend Data Analyst Fintech jobs in Saugus, MA are:
What cities near Saugus, MA are hiring for Weekend Data Analyst Fintech jobs? Cities near Saugus, MA 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 7 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