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Weekend Data Analyst Fintech Jobs in Washington, DC

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

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

Sr. Litigation Data Analyst

Mclean, VA · On-site

$88K - $111K/yr

Under the direction of the Manager, Hosted Services the Senior Litigation Data Analyst, Hosted ... Available to work extended hours, including evenings and weekends * All employees are required to ...

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Enter data into analytical models (long range and same day planning) to develop strategic ...

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Enter data into analytical models (long range and same day planning) to develop strategic ...

... analytics. The role involves collaborating with aviation stakeholders, utilizing advanced ... and weekends at times to cover overnight and weekend data modeling needs • Document the FAA ...

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Enter data into analytical models (long range and same day planning) to develop strategic ...

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Weekend Data Analyst Fintech information

See Washington, DC salary details

$38.5K

$93.6K

$154K

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

As of Aug 31, 2026, the average yearly pay for weekend data analyst fintech in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 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.

What are the most commonly searched types of Data Analyst Fintech jobs in Washington, DC?

The most popular types of Data Analyst Fintech jobs in Washington, DC are:

Senior Consulting Business Analyst - FinTech & Capital Markets

Reston, VA • On-site

Intellibus
IT Services • 1 - 10 employees

$96K - $124K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Senior Consulting Business Analyst – FinTech & Capital Markets Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus, we will accomplish great things together. Our Platform Engineering Team is solving the Multiplicity Problem and is trusted by some of the most reputable FinTech firms globally. We've recently led large-scale conversions and go-lives for systems that power the financial trading industry.

We are seeking a Principal / Senior Consulting Business Analyst with deep financial services domain knowledge and strong technical fluency to lead complex, multi-stream transformation initiatives for large financial services platforms. This role is for someone who can operate as a trusted advisor to client leadership, drive alignment across business, product, data, and engineering teams, and still remain personally accountable for data mapping, system integration, and delivery execution. This is not a documentation or support BA role.

This is a consulting leadership role responsible for shaping and driving large-scale financial platform programs under tight timelines and regulatory pressure.

We are looking for a Business Analyst who can, but is not limited to, the following: Lead business analysis and data strategy across large, multi-team financial platform initiatives Partner with client executives, product owners, and engineering leadership to define end-to-end solution scope Own complex data mapping, transformation logic, and validation strategy across systems Translate regulatory, operational, and product needs into technical execution plans Drive prioritization and trade-off decisions across business and technology stakeholders Establish governance around requirements, data quality, and delivery milestones Lead cross-functional workshops with senior business, compliance, and technology teams Mentor junior analysts and set standards for business analysis excellence Act as escalation point for data and integration risks impacting business delivery Represent Intellibus as a senior consulting leader embedded within client programs Qualifications Education: Bachelor's or Master's in Engineering, Computer Science, or related field 15+ years of experience leading business analysis and data transformation initiatives in financial services Proven experience working in consulting or advisory environments serving large enterprise financial platforms Strong background in banking, capital markets, mortgage, payments, or regulatory data systems Demonstrated ability to lead complex, multi-stakeholder programs Strong technical fluency with data platforms, integration architectures, and system design Ability to communicate effectively with executive, product, compliance, and engineering audiences Comfortable making decisions in ambiguous, high-pressure delivery environments Technical & Domain Expertise Financial data models: transactions, positions, balances, reference data Source-to-target mapping and data lineage SQL and data validation techniques ETL and event-driven data pipelines APIs and service-oriented architectures Regulatory and operational reporting workflows Agile delivery at enterprise scale Our Process Schedule a 15-minute video call with someone from our Team 1 Proctored GQ Tests ( Slideware (Presentation Deck) Receive Job Offer If you are interested in reaching out to us, please apply and our team will contact you within the hour.