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Full Time Data Analyst Fintech Jobs (NOW HIRING)

Jobgether

$66K - $83K/yr

Our partner is looking for a Senior Data Analyst (Fintech) based in Netherlands. This role offers the opportunity to build advanced analytics capabilities within a fast-growing financial technology ...

New

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Tampa, FL · On-site

Join Fintech in Tampa, FL as a Distributor Data Analyst! The Distributor Data Analyst partners with the Distributor Strategy Team to increase the percentage of Fintech retail customers with targeted ...

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Distributor Data Analyst

Tampa, FL · Hybrid

Join Fintech in Tampa, FL as a Distributor Data Analyst! The Distributor Data Analyst partners with the Distributor Strategy Team to increase the percentage of Fintech retail customers with targeted ...

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

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · Hybrid

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

Crown Uniform & Linen Service

Data Analyst

Brockton, MA

$80K - $90K/yr

Join Crown Linen Service Inc as a Full-Time Data Analyst and immerse yourself in an environment where innovation meets excellence. Located in Brockton, MA, this onsite role offers the opportunity to ...

Crown Linen Service Inc

Data Analyst

Brockton, MA · On-site

$80K - $90K/yr

Join Crown Linen Service Inc as a Full-Time Data Analyst and immerse yourself in an environment where innovation meets excellence. Located in Brockton, MA, this onsite role offers the opportunity to ...

Crown Linen Service Inc

Data Analyst

Brockton, MA · On-site

$80K - $90K/yr

Join Crown Linen Service Inc as a Full-Time Data Analyst and immerse yourself in an environment where innovation meets excellence. Located in Brockton, MA, this onsite role offers the opportunity to ...

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 ...

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 ...

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Full Time Data Analyst Fintech information

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$82.6K

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

As of Jul 22, 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:
Full Time Data Analyst Fintech jobs near you

Senior Data Analyst (Fintech)

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

Posted 2 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Fintech) based in Netherlands.

This role offers the opportunity to build advanced analytics capabilities within a fast-growing financial technology environment.
You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence.
Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up.
The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency.
You will play a critical role in ensuring data accuracy, audit readiness, and the development of data-driven strategies.
This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team.

Accountabilities
  • Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms.
  • Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive-level reporting.
  • Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews.
  • Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions.
  • Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information.
  • Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators.
  • Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks.
  • Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities.
  • Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision-making processes.
Requirements
  • 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services.
  • Expert-level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms.
  • Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis.
  • Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive-level dashboards.
  • Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA.
  • Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions.
  • Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly.
  • Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable.
  • Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery.
  • Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus.
Benefits
  • Fully remote work opportunity within an international and agile team.
  • Competitive compensation package based on experience, skills, and individual contribution.
  • Opportunity to build and shape analytics processes and reporting infrastructure from the ground up.
  • High-impact role supporting mission-critical financial reporting, compliance, and business decision-making.
  • Career growth opportunities across technical, leadership, and cross-functional career paths.
  • Collaborative culture focused on transparency, experimentation, ownership, and measurable impact.
  • Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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