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Weekend Data Analyst Fintech Jobs (NOW HIRING)

$80 - $110/hr

Analyst or Senior Analyst, based on experience Chicago, IL Hybrid - 3 days/week in office Full-time ... fintech providers get more value from their investment data and technology. We're hiring an ...

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle ...

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle ...

Data Analyst/Eng Alpharetta, GA - Hybrid Required Skills: * Strong experience in Teradata for data ... Experience working in financial services, banking, or fintech environments . * Knowledge of data ...

$66 - $83/hr

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Analyze data trends and prepare reports with actionable recommendations for management. * Develop ...

New

To ensure success as a technical data analyst, you should demonstrate experience performing data ... the fintech industry • Exceptional communication skills toward facilitating the use of new ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. They are seeking a Senior Data Analyst to own data models, drive ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. They are seeking a Senior Data Analyst to own data models, drive ...

Data Analyst

Minneapolis, MN · On-site

$75 - $110/hr

Data Analyst Vertical Insure Minneapolis, Minnesota, United States About this position About ... Background in fintech, insurance, or vertical SaaS industries. The estimated base salary for this ...

Data Analyst II

New York, NY · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... This is a high-impact role in a fast-paced fintech environment where your work will directly ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... This is a high-impact role in a fast-paced fintech environment where your work will directly ...

Data Analyst

Minneapolis, MN · On-site

$75K - $110K/yr

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this ... Background in fintech, insurance, or vertical SaaS industries. What We Offer The estimated base ...

Data Analyst

$145K - $170K/yr

Data Analyst Reports to: Senior Manager, Revenue Analytics Location ... Remote (US-based) About Cherry Cherry is a fast-growing fintech company revolutionizing how ...

Showing results 21-40

Weekend Data Analyst Fintech information

See salary details

$34K

$82.6K

$136K

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

As of Sep 7, 2026, the average yearly pay for weekend data analyst fintech in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 are hiring for Weekend Data Analyst Fintech jobs?

Cities with the most Weekend Data Analyst Fintech job openings:

What are the most commonly searched types of Data Analyst Fintech jobs?

The most popular types of Data Analyst Fintech jobs are:

What states have the most Weekend Data Analyst Fintech jobs?

States with the most job openings for Weekend Data Analyst Fintech jobs include:

Infographic showing various Weekend Data Analyst Fintech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Fraud and Risk Analyst - Fintech

Intuit Inc.

Mountain View, CA • On-site

$150.50 - $204/hr

Other

Posted 19 days ago


Key responsibilities

  • Manage risk for small business and mid-market Fintech offerings by developing capabilities and policies such as rolling reserves and customer level limit frameworks.

  • Develop and implement risk strategies and policies to support and scale the Money Services portfolio while balancing growth and financial exposure.

  • Collaborate with cross-functional teams to ensure analytical and risk solutions are scalable, effective, and meet stakeholder expectations.


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies


Job description

Intuit’s Global Business Solutions Group empowers millions of businesses worldwide to take control of their finances through the QuickBooks offering. QuickBooks solutions simplify financial management, enabling our customers to operate with confidence. We leverage data and insights to innovate and enhance our business offerings. The Money Services team offers fintech offerings like Payments, Payroll, Bill Pay and Capital to these small businesses with expanding scope in the Mid- Market segment, serving large size customers. We require a financial risk expert to manage and develop new risk capabilities and policies like rolling reserves, customer level risk and experience framework that can serve the needs of the growing customer base while managing the financial risk exposure for Intuit. As a senior member in the risk team, your focus is to enhance and develop policies across the journey of the customer in offerings like Payments, Payroll and Bill Pay, balancing growth vs. financial exposure, developing the right risk experiences, improving policy efficiency and be on the cutting edge of AI based risk management and automation. If you are passionate about building the next generation of AI driven financial policies and taking business decisions that drive results through data-driven insights in business lending spaces, and understands the unique risks within Fintech, this role is for you.

Responsibilities
  • Focused on managing risk for small business and mid market Fintech offerings by developing capabilities and policies across all products like rolling reserves, customer level limit framework etc. for better customer experience while managing losses.
  • Develop and implement risk strategies and policies and drive business growth by supporting and scaling strategies for the Money services portfolio.
  • Work with the Fraud Risk, Data Science, Engineering, Product and Governance Committee to set overall direction, risk appetite, quality, and seamless execution of capabilities and policies.
  • Develop and Enhance the Financial Policy and program and establish a framework to ensure business activities are following internal policies and regulatory requirements.
  • Partners with teams across Intuit (including product development, marketing, data engineering, compliance, risk, data scientists etc.) to enable decision support and key customer insights in the business solutions risk and analytics spaces.
  • Make decisions that impact cross-functional priorities, strategy, and outcomes related to global business solutions.
  • Collaborate with stakeholders and analysts to ensure analytical and risk solutions are scalable, repeatable, effective, and meet expectations of various stakeholders in the global business solutions area.
  • Use big data technology to mine massive scale transactional data to improve financial risk mitigation strategies for global business solutions and design new risk-adjusted policy proposals.
  • Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data does not exist, specifically in the global business solutions context.
  • Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers.
  • Ensuring data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new global business solutions initiatives and product releases.
  • Mentor, coach, and develop Financial Risk Analysts to drive creative ideas, use of the latest data techniques, and elevate outcomes within global business solutions.
  • Identify and evaluate new vendors / data sources and create business cases.
  • Managing internal and external relationships, including internal and external audit, external credit agencies, regulators to ensure accurate and timely information.
Qualifications
  • Excellent track record of driven policy development and execution in the data and risk space 10+ or more years of experience leading conversations across teams to drive for business requirements clarity, build, and launch, with a strong emphasis on global business solutions.
  • Ability to manage multiple projects simultaneously to meet objectives and key deadlines in the global business solutions domain.
  • Expert in one of the following analytics tools, such as AI skills and agents, Python, R, SAS, and any environment under SQL.
  • Outstanding communications skills with both technical and non-technical colleagues, including telling compelling stories with data, especially in global business solutions.
  • Strong strategic mindset but also willing to roll up your sleeves and get into the details, coaching team members where needed, particularly in the global business solutions context.
  • Experience working with BI tools such as Tableau, quicksight, databricks.
  • Proven history as a self-starter who seeks the problem, doesn't wait for the problem to find them with excellent problem-solving skills and end-to-end quantitative thinking in global business solutions.
  • Demonstrates highly effective cross-functional leadership and experience working in a large matrixed organization, aligning cross-functional stakeholders, gathering business requirements, and launching product features in a fast-paced environment, with a focus on global business solutions.
  • Analytically minded with experience working on large-scale data projects; product management experience would be a plus, especially within global business solutions.
  • Strong organization, time management, and task prioritization skills.
  • Domain experience in FinTech, AI, Risk, Financial services, with specific expertise in Fraud and Business Solutions, is highly advantageous.
  • Undergraduate degree required (Economics, Statistics, Engineering, etc.); advanced degree preferred.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $150,500-204,000; New York $187,000-253,000.

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