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Data Analyst Fintech Jobs in California (NOW HIRING)

1 point system

Data Analyst

Sunnyvale, CA · On-site

Master's degree in data science, Statistics, Computer Science, Economics, or a related field. * 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. * Proven ability ...

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 ...

Brex

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 ...

Collabera

Data Analyst

Santa Ana, CA

... 66th on FinTech 100 35th among top private companies in New Jersey Collabera recognizes true ... Responsible for data analysis related to AMO post-market product complaints and reporting on trends ...

Brex

Data Analyst II

San Francisco, CA · On-site

$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 ...

1 point system

Senior Data Analyst

Sunnyvale, CA · On-site

$40/hr

Master's degree in Data Science, Statistics, Computer Science, Economics, or related field. * 4+ years of experience in Payments, Risk, FinTech, or Marketplace Analytics. * Advanced SQL expertise ...

Plat.AI

Front-Facing Data Analyst

Glendale, CA · On-site

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related * field * 2-5+ years of experience in data analytics, preferably in fintech or lending * Strong proficiency in ...

Roblox

Senior Risk Data Analyst (San Mateo)

San Mateo, CA · On-site

$134K - $167K/yr

... g. e-commerce, fintech, or gaming). * Proficiency with data analysis tools and techniques ... including advanced SQL and Python for data exploration, data visualization, and statistical ...

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All JobsData Analyst Fintech JobsData Analyst Fintech Jobs in California

Data Analyst Fintech information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst fintech jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst fintech in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

Is a data analyst a fintech job?

A data analyst in fintech is a role that involves analyzing financial data to support decision-making, often using tools like Excel, SQL, and data visualization software. This position typically requires understanding financial concepts and may involve working with financial transactions, risk assessment, or customer data within the financial technology industry.

What does a data analyst do in fintech?

A Data Analyst in Fintech collects, processes, and analyzes financial data to uncover trends, optimize business decisions, and improve financial services. They work with big data, statistical models, and visualization tools to provide insights that drive product development, risk management, and customer experience. Their role often involves working with machine learning, SQL, Python, and BI tools to extract meaningful patterns from financial transactions, user behavior, and market trends.

What are the key skills and qualifications needed to thrive as a data analyst in fintech?

To thrive as a Data Analyst Fintech, a strong foundation in data analysis, statistical modeling, and financial acumen—often backed by a relevant degree such as in mathematics, statistics, finance, or computer science—is essential. Proficiency with analytical tools like SQL, Python, R, and specialized fintech platforms as well as certifications like CFA or data analytics certificates is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills differentiate top performers, enabling them to present complex findings clearly. These skills are crucial for extracting actionable insights from financial data and supporting data-driven decision-making in the rapidly evolving fintech industry.

What types of teams or departments do data analysts typically collaborate with in a fintech company?

Data Analysts in fintech companies frequently work alongside product development, engineering, risk management, and business strategy teams to analyze data and provide actionable insights. Their work often contributes to fraud detection, customer experience optimization, and financial forecasting, requiring close communication with both technical and non-technical stakeholders. Collaboration is key, as insights generated by data analysts often guide the direction of products and services and influence important business decisions. This cross-functional interaction not only broadens professional experience but also provides opportunities for career growth within different areas of the fintech sector.

What are the most commonly searched types of Data Analyst Fintech jobs in California? The most popular types of Data Analyst Fintech jobs in California are:
What are popular job titles related to Data Analyst Fintech jobs in California? For Data Analyst Fintech jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Analyst Fintech jobs in California look for? The top searched job categories for Data Analyst Fintech jobs in California are:
What cities in California are hiring for Data Analyst Fintech jobs? Cities in California with the most Data Analyst Fintech job openings:
Data Analyst Fintech jobs near you
Infographic showing various Data Analyst Fintech job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

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

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 9 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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