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Weekend Data Analyst Fintech Jobs (NOW HIRING)

Apex Fintech Solutions

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities

Apex Fintech Solutions

Data Analyst

Chicago, IL · On-site

$75K - $94K/yr

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities

1 point system

Data Analyst

Sunnyvale, CA · On-site

... FinTech, or Marketplace Analytics. • Proven ability to lead cross-functional initiatives and ... data platforms (e.g., BigQuery, Redshift, Snowflake). • Strong experience with Python or R for ...

Cardless, Inc

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 ...

Spruce Infotech

Data Analyst/Eng

Alpharetta, GA · On-site

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 ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

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 ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Magazine's "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb ... About the Role We are looking for a Financial & Data Analyst to join our Finance organization and ...

MeridianLink, Inc.

Sr. Data Analyst

Irvine, CA

$130K - $150K/yr

Use Python & other programming tools for data analysis, machine learning, model building, & model validation to enhance advanced data intelligence features in the FinTech industry. 100% telecommuting ...

FocusKPI Inc.

Data Analyst

San Francisco, CA · On-site

$40 - $50/hr

The Data Analyst will leverage data on our users to build dashboards, answer key business questions ... Experience in Financial Services or FinTech preferred * Previous work on evaluating product ...

Current

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 ...

Navan

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

As one of our Senior Data Analysts of our Global Data team, you will work closely with the expense ... Support and strengthen our fast paced fintech product team in all functional areas and special ...

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Weekend Data Analyst Fintech information

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$34K

$82.6K

$136K

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

As of Jun 21, 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.

More about Weekend Data Analyst Fintech jobs
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:
What job categories do people searching Weekend Data Analyst Fintech jobs look for? The top searched job categories for Weekend Data Analyst Fintech jobs are:
Weekend Data Analyst Fintech jobs near you
Infographic showing various Weekend Data Analyst Fintech job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 2% Part Time, and 11% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA

Other

Posted 22 days ago

Job description

Staff Fraud & Risk Analyst Fintech & Data Insights

As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
  • Build intuitive dashboards and visualizations that guide strategic and operational decisions.
  • Design and interpret A/B tests to optimize product performance and risk strategies.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
  • Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
  • Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Maintain clean, reliable data pipelines and address data quality issues proactively.
Qualifications:
  • 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling

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