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Weekend 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 ...

Fintech

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 ...

Fintech

Distributor Data Analyst

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 ...

CB Insights

Senior Analyst, Fintech Research

New York, NY · Hybrid

$126K - $127K/yr

To do so, you will use data to publish actionable, digestible, differentiated, and (most ... Analyze fintech startups with data. * Map fintech developments to tech markets and competitive ...

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

Master's degree in data science, Statistics, Computer Science, Economics, or a related field. * 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. * Proven ability ...

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 ...

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 ...

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Weekend Data Analyst Fintech information

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$34K

$82.6K

$136K

How much do weekend data analyst fintech jobs pay per year?

As of Aug 1, 2026, the average yearly pay for weekend 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 Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

More about Weekend Data Analyst Fintech jobs
What cities are hiring for Weekend Data Analyst Fintech jobs? Cities with the most Weekend 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 Weekend Data Analyst Fintech jobs? States with the most job openings for Weekend Data Analyst Fintech jobs include:
What job categories do people searching Weekend Data Analyst Fintech jobs look for? The top searched job categories for Weekend Data Analyst Fintech jobs are:
Weekend Data Analyst Fintech jobs near you
Infographic showing various Weekend Data Analyst Fintech job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst (Fintech)

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

Posted 12 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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