1

Data Analyst Fintech Jobs (NOW HIRING)

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... Experience in fintech, financial services, or payments. * Track record of leading cross-functional ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... Experience in fintech, financial services, or payments. * Track record of leading cross-functional ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Experience working with large datasets and high-volume environments (FinTech, Banking, Marketplaces ...

... fintech, lending, banking, finance, accounting, marketing analytics, or similar data environments. • Exposure to Agile delivery methods or Kimball SDLC. • Exposure to Python, R, advanced ...

You have 2+ years of professional experience in fintech or structured products, working with loan ... tape data into a usable state, building complex analytics on asset performance, and creating ...

You have 2+ years of professional experience in fintech or structured products, working with loan ... tape data into a usable state, building complex analytics on asset performance, and creating ...

Sr Data Analyst

$88K - $111K/yr

... have; fintech or financial services experience is a strong plus. • A passion for evolving ... analytics/data science is a bonus. Company : MoneyGram is a global payments network that enables ...

Forbes Fintech 50 2022 Role Overview Brigit processes billions of dollars in payments. In this role ... You'll be a member of the Data & Analytics team, embedded in Team Money, our cross-functional ...

next page

Showing results 1-20

Data Analyst Fintech information

See salary details

$34K

$82.6K

$136K

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:
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.
Data Analyst III

Data Analyst III

Brex

San Francisco, CA • On-site, Remote

$114K - $142K/yr

Other

Posted 19 days ago


Job description

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company.

What you'll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You'll go beyond building dashboards-you'll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team's work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
  • Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
  • Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
  • Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
  • Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
  • Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
  • Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team's tooling and processes.

Requirements

  • 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
  • 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
  • Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
  • Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
  • Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
  • Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
  • Strong stakeholder management skills-proven ability to present complex technical findings to non-technical audiences.
  • Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

  • Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
  • Experience with dbt for data modeling and transformation.
  • Experience building and maintaining data pipelines using orchestration tools such as Airflow.
  • Experience working with APIs for data ingestion and integration.
  • Familiarity with version control systems (Git).
  • Experience in fintech, financial services, or payments.
  • Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.