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

Associate Data Analyst

Boston, MA · On-site

$72K - $90K/yr

We are seeking a data analyst with a minimum of three years' experience to clean, structure and ... Superior customer focus, and willingness to work evenings and weekends if needed to support our ...

New

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 ...

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 ...

Strong analytical and organizational skills to be comfortable with multi-tasking in a fast-paced ... If you would like more information about how your data is processed, please contact us.

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Showing results 1-20

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 31, 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 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:

Associate Data Analyst

Boston, MA • On-site

MarketOnce
Business Management Consulting • 11 - 50 employees

$72K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

At MarketOnce, we empower businesses with the insights and strategies they need to excel in today's dynamic market. With a strong foundation in market research, we offer innovative solutions in research, software, consulting, advertising, and marketing to corporate, private equity firms, and other organizations seeking to achieve their goals.
Our team is distinguished by their client-centric approach-treating each client's business with the dedication and care as if it were their own. This commitment enables us to deliver personalized service and achieve the highest standards of success and innovation in everything we do. Together, our family of companies, including MarketOnce, ROI Rocket, and eAccountable, work towards delivering unparalleled solutions. Headquartered in Denver, Colorado, our global team collaborates from locations across the US and Europe.
We value curiosity, creativity, collaboration, and expertise, continuously striving to push boundaries and exceed our clients' expectations. Join us to be part of a culture that drives meaningful results.
About the Opportunity:
We are seeking a data analyst with a minimum of three years' experience to clean, structure and process data from primary market research. An understanding of quantitative marketing research techniques, tools, processes, and procedures is preferred. Experience in primary market research is required. You must have strong interpersonal and organizational skills and be detail-oriented, flexible and above all, collaborative. The range of duties includes enforcing data quality control protocols, cleaning and structuring data sets, generating data cross tabulations and conducting a variety of analytical procedures.
In this role, you will be working closely with the Sr. Director of Custom Research, various Research Managers, the Director of Marketing Sciences, fellow Data Analysts and various Publishing department personnel.
What You'll Do:
  • Clean and structure complex data sets in SPSS/alternate platforms, including AI-based apps
  • Analyze/interpret results using common statistical techniques in SPSS and other programs as assigned
  • Produce client-friendly data cross-tabulations in WinCross, JMP and alternate platforms, including our in-house survey platform, MarketOnce
  • Perform various quality assurance tasks, including QA on in-progress surveys
  • Develop and maintain databases/data systems
  • Develop new process improvements as necessary

What We're Looking For:
  • 3+ years of relevant experience as a data analyst/data processor with a track record of high performance
  • Strong organizational and time management skills with the ability to plan, prioritize, manage, and effectively deliver on multiple projects simultaneously with minimal supervision in a fast-paced environment
  • Understanding of market research processes highly desired
  • Strong knowledge of and experience with statistical packages for analyzing large datasets, specifically, SPSS, R, WinCross and/or Excel
  • Knowledge of Python, Javascript and/or XML helpful but not required provided you can demonstrate an understanding of survey logic and the potential to acquire the necessary expertise
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • BS or MS in Mathematics, Economics, Computer Science, Information Management or Statistics
  • Superior customer focus, and willingness to work evenings and weekends if needed to support our clients
  • A can-do, positive and collaborative attitude, with a willingness to support the development of team members across the organization

What We Offer:
  • Competitive base salary: $72,000-$90,000/year
  • Flexible vacation policy - take the time you need to recharge
  • Comprehensive health, vision & dental insurance
  • 401k with company contribution
  • Beautiful downtown Denver office with company-paid commuter benefits (parking or RTD/MBTA Pass)
  • Opportunity for career progression with plenty of room for personal growth

What to Expect:
  • 1st Round: 30-45 minute interview with the Recruiter
  • 2nd Round: 60-minute interview with the Hiring Manager
  • 3rd Round: 2 hours of onsite interviews with the Hiring Team

Please note that we are fully onsite work environment, and require daily presence at our LoDo/Union Station (Denver) or Back Bay (Boston) office. We are not considering remote, hybrid, or out-of-area candidates, and do not work with outside recruiting agencies.
MarketOnce will accept applications for this role on an ongoing basis.
MarketOnce is an Equal Opportunity Employer. We believe in creating a diverse and inclusive workplace where everyone has the opportunity to thrive. We are committed to hiring individuals based on their skills and qualifications, regardless of race, gender, age, sexual orientation, disability, or any other characteristic. We welcome and encourage applications from all backgrounds.