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Volunteer Data Analyst Fintech Jobs (NOW HIRING)

Join Fintech in Tampa, FL as a Distributor Data Analyst! The Distributor Data Analyst partners with the Distributor Strategy Team to increase the percentage of Fintech retail customers with targeted ...

Join Fintech in Tampa, FL as a Distributor Data Analyst! The Distributor Data Analyst partners with the Distributor Strategy Team to increase the percentage of Fintech retail customers with targeted ...

Senior Analyst, Fintech Research

New York, NY · Hybrid

$126K - $127K/yr

To do so, you will use data to publish actionable, digestible, differentiated, and (most ... Analyze fintech startups with data. * Map fintech developments to tech markets and competitive ...

Job Title Analyst, Fintech Licensing Location Atlanta Regular/Temporary Regular Summary Paul ... Voluntary 401(k) Plan and Profit Sharing * 10 Paid Holidays per year and a generous PTO Program

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

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

... 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 ...

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 ...

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 ...

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Volunteer Data Analyst Fintech information

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$34K

$82.6K

$136K

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

As of Jul 14, 2026, the average yearly pay for volunteer 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 Volunteer Data Analyst Fintech vs Volunteer Data Scientist Fintech?

AspectVolunteer Data Analyst FintechVolunteer Data Scientist Fintech
Required CredentialsBasic data analysis skills, often with proficiency in Excel, SQL, or TableauAdvanced skills in programming (Python, R), machine learning, and statistical modeling
Work EnvironmentCollaborative, project-based, often nonprofit or startup settingsResearch-focused, innovative projects, typically in tech-driven fintech firms or nonprofits
Employer & Industry UsageUsed in fintech startups, financial services, and nonprofit organizationsFound in fintech research labs, startups, and organizations emphasizing AI and advanced analytics

In summary, Volunteer Data Analyst Fintech roles focus on basic data interpretation and reporting, suitable for those with foundational skills. Volunteer Data Scientist Fintech positions require advanced technical expertise and involve complex modeling. Both roles serve the fintech industry but differ in skill requirements and project scope.

What cities are hiring for Volunteer Data Analyst Fintech jobs? Cities with the most Volunteer 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 Volunteer Data Analyst Fintech jobs? States with the most job openings for Volunteer Data Analyst Fintech jobs include:
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 • On-site

Other

Re-posted 15 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