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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 · On-site

$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 ...

Navan

Senior Data Analyst

Palo Alto, CA

$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 ...

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 ...

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Data Analyst Fintech information

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$82.6K

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How much do data analyst fintech jobs pay per year?

As of Jul 1, 2026, the average yearly pay for 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 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 in the Data Analyst Fintech position, and why are they important?

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.

More about Data Analyst Fintech jobs
What cities are hiring for Data Analyst Fintech jobs? Cities with the most 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 Data Analyst Fintech jobs? States with the most job openings for Data Analyst Fintech jobs include:
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Data Analyst Fintech jobs near you
Infographic showing various Data Analyst Fintech job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% 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 • On-site

Other

Posted 3 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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