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Data Analyst Fintech Jobs (NOW HIRING)

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 ...

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 ...

Data Analyst II

New York, NY · 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 ...

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 ...

Data Analyst

Chicago, IL

$120K - $170K/yr

Experience in insurance, fintech, or financial services. * Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions. * Familiarity with financial ...

Senior Data Analyst

Palo Alto, CA · On-site

$105K - $234K/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 ...

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

Data Analyst

New York, NY · On-site

$90K - $100K/yr

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

... 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 ...

... 66th on FinTech 100 35th among top private companies in New Jersey Collabera recognizes true ... Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ...

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 ...

Data Analyst II

Manhattan, NY · 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 ...

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 ...

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Experience in insurance, fintech, or financial services. * Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions. * Familiarity with financial ...

Data Analyst II

New York, NY · 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 ...

Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ... Experience in fintech, SaaS, or customer support operations environments. * Familiarity with ...

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Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ... Experience in fintech, SaaS, or customer support operations environments. * Familiarity with ...

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Data Analyst Fintech information

See salary details

$34K

$82.6K

$136K

How much do data analyst fintech jobs pay per year?

As of Jun 7, 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 May 2026, with employment types broken down into 96% Full Time, and 4% Contract. 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

Full-time

Posted 17 days ago


Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus