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Full Time Data Analyst Fintech Jobs (NOW HIRING)

Prizeout

Data Analyst

New York, NY

$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 ...

Prizeout

Data Analyst

New York, NY

$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 ...

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 ...

Honeycomb Insurance

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 ...

Brex

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 ...

Tapcheck

Data Analyst

Plano, TX · Remote

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 ...

Tapcheck

Data Analyst

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 ...

Intuit

Staff Fraud and Risk Analyst - Fintech

New York, NY · On-site

$150K - $204K/yr

You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to ... Use advanced analytical techniques to mine massive scale account and transactional data to build ...

University of Miami

Data Analyst 3

Coral Gables, FL

The University of Miami's Miami Herbert Business School has an exciting opportunity for a full-time Data Analyst 3 to work on the Coral Gables campus. Job Summary: The Data Analyst III will conduct ...

The University of Miami

Data Analyst 3

Coral Gables, FL · On-site

The University of Miami's Miami Herbert Business School has an exciting opportunity for a full-time Data Analyst 3 to work on the Coral Gables campus. Job Summary: The Data Analyst III will conduct ...

Intuit

Staff Fraud and Risk Analyst - Fintech

New York, NY · On-site

$176K - $238K/yr

You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to ... Use advanced analytical techniques to mine massive scale account and transactional data to build ...

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Full Time Data Analyst Fintech information

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$82.6K

$136K

How much do full time data analyst fintech jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time 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 Full Time Data Analyst Fintech vs Full Time Data Scientist Fintech?

AspectFull Time Data Analyst FintechFull Time Data Scientist Fintech
Required CredentialsBachelor's in Data Analytics, Finance, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentFinancial technology companies, banks, or fintech startupsFintech firms, tech companies, or financial institutions
Employer & Industry UsageCommonly employed for data reporting, analysis, and business insightsFocused on predictive modeling, machine learning, and advanced analytics

Full Time Data Analyst Fintech roles typically focus on analyzing financial data, generating reports, and supporting business decisions. In contrast, Full Time Data Scientist Fintech positions involve developing complex models, machine learning algorithms, and predictive analytics. While both roles require strong analytical skills, data scientists usually have more advanced technical expertise and often hold higher-level degrees. The choice depends on your technical background and career goals within the fintech industry.

What cities are hiring for Full Time Data Analyst Fintech jobs? Cities with the most Full Time 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 Full Time Data Analyst Fintech jobs? States with the most job openings for Full Time Data Analyst Fintech jobs include:
Full Time Data Analyst Fintech jobs near you
Data Analyst

Data Analyst

Prizeout

New York, NY

$90K - $100K/yr

Full-time

Posted yesterday

Job description

Why Prizeout
 
At Prizeout, we're redefining how people engage with their money through smarter, data-driven rewards. We're looking for curious, analytical builders who love turning big, complex data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership.
 
About This Role
 
As a Data Analyst, you'll drive insights across the Debit & Credit Card Rewards & CashBack+ Products. You will analyze how credit union members adopt & interact with the various products to help partners and Prizeout track and improve member experience and financial outcomes. You'll build analytical models and client-facing dashboards to increase visibility and help drive adoption. This is a high-impact role for someone who loves turning big, complex data into tangible results for clients and is motivated by improving real people's everyday financial lives.
What You'll Do
  • Develop a deep understanding of the Debit & Credit Card Rewards, CashBack+ (including Pay), and Actions products, including their product and financial performance metrics
  • Partner with clients and client-facing teams to understand their needs and identify opportunities to improve workflows and member experiences
  • Build analytical frameworks and dashboards to track partner member adoption and product performance
  • Define and measure key activation milestones (e.g., deposit health signals, card linking, first gift card purchase, streak activity)
  • Analyze partner adoption funnels and identify drivers of successful product launches
  • Collaborate cross-functionally to define KPIs, test hypotheses, and measure the impact of initiatives (e.g., marketing) on product adoption
  • Support GTM and partner teams with analytics that drive adoption, engagement, and growth
  • Translate complex analyses into clear insights, recommendations, and narratives for senior stakeholders
What We're Looking For
  • 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 tools (e.g., Tableau or Looker), and Excel
  • Ability to organize ambiguity and clearly communicate the "so-what"
  • Comfort working with financial data, behavioral signals, and marketplace metrics
  • Desire to influence the product direction and growth strategy through deep user understanding
 
Please Note: Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.
 
The expected salary range for this position is $90,000-100,000, plus an equity component.
What Is Prizeout?
 
Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns.
 
Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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