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Weekend Data Analyst Fintech Jobs in Boston, MA (NOW HIRING)

Nasdaq

Senior Data Scientist

Boston, MA · Hybrid

$95K - $166K/yr

... data, analytics, and market intelligence. As a Senior Data Science at Nasdaq, you will join a ... Work experience in a corporate environment or finance/fintech industry * Experience with Deep ...

Nasdaq

Senior Data Scientist

Boston, MA · On-site

$95K - $166K/yr

... data, analytics, and market intelligence. As a Senior Data Science at Nasdaq, you will join a ... Work experience in a corporate environment or finance/fintech industry * Experience with Deep ...

HarbourVest

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets * Proficiency in MSSQL or equivalent SQL RDBMS

Fidelity Investments

Digital Asset Data Lead

Boston, MA · On-site

$140K/yr

Experience in data engineering, data management, analytics engineering, or related disciplines ... Experience within digital assets, blockchain, fintech, market data, or quantitative investment ...

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All JobsData Analyst Fintech JobsWeekend Data Analyst Fintech JobsWeekend Data Analyst Fintech Jobs in Boston, MA

Weekend Data Analyst Fintech information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

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

As of Aug 21, 2026, the average yearly pay for weekend data analyst fintech in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 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 Boston, MA?

The most popular types of Data Analyst Fintech jobs in Boston, MA are:

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For Weekend Data Analyst Fintech jobs in Boston, MA, the most frequently searched job titles are:

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The top searched job categories for Weekend Data Analyst Fintech jobs in Boston, MA are:

What cities near Boston, MA are hiring for Weekend Data Analyst Fintech jobs?

Cities near Boston, MA with the most Weekend Data Analyst Fintech job openings:

Weekend Data Analyst Fintech jobs near you

Manager, Financial Planning and Analysis (Fintech/SaaS)

Emburse

Boston, MA • On-site

$114K - $150K/yr

Full-time

Re-posted 14 days ago

Job description

Who We Are:
At Emburse, you'll not just imagine the future - you'll build it. As a leader in expense intelligence, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.
We are seeking a Manager, Financial Planning and Analysis (GTM), to serve as a dedicated finance partner to our
Go-to-Market organization. This role will own the financial planning, forecasting, and analytical infrastructure for Sales, Marketing, and associated GTM expenses, while driving deep analytical work across pipeline coverage, lead conversion, customer segmentation, pricing, and product adoption.
The Manager will report to the Senior Director, FP&A and partner closely with GTM leadership to deliver the financial insights that drive decision-making at Emburse. This is a high-visibility role at a pivotal moment in Emburse's growth trajectory. The ideal candidate combines strong analytical horsepower with business acumen and interpersonal confidence to challenge assumptions, influence business unit leaders, and translate data into a compelling financial narrative.
**Please note, while this position will initially be remote, should we open an office in the Burlington/Boston area, the expectation will be that the role will move to a hybrid structure, requiring the hired candidate to be in-office 3 days per week. Additionally we are NOT able to offer sponsorship now or in the future**
What you will do
  • Own the Emburse revenue forecast, partnering with Sales leadership to build bottoms-up pipeline-driven models
  • Develop and maintain driver-based GTM expense models for Sales and Marketing, including headcount planning, marketing program spend, and quota capacity analysis
  • Lead monthly and quarterly GTM financial reviews, providing variance analysis that connects spend to pipeline and revenue outcomes with clear narrative context
  • Support the annual budget and strategic planning cycles for all GTM functions
  • Support pricing and packaging analysis, including assessment of transactional product economics and customer adoption trends
  • Serve as the primary finance partner to Sales and Marketing leadership, building trusted relationships and embedding finance into GTM planning and operational reviews
  • Proactively identify financial risks and opportunities within the GTM motion and bring forward actionable recommendations
  • Translate complex financial analysis into executive-ready narratives for ELT and board-level consumption

What you will bring
  • Bachelors Degree in Finance OR equivalent proven work experience
  • 5+ years of related experience with meaningful exposure to GTM in B2B SaaS environment
  • 2+ years of experience in a leadership role
  • Demonstrated ability to build revenue and bookings forecast models with pipeline-based drivers
  • Strong grasp of SaaS GTM metrics such as ARR, NRR, CAC, LTV, Pipeline coverage, etc.
  • Experience in utilization of CRM and billing system data (e.g., Salesforce, NetSuite)
  • Ability to leverage AI (Claude, ChatGPT, Gemini) to create process efficiencies
  • Ability to successfully accomplish team goals as a people leader
  • Excellent communication skills, both written and oral
  • Strong organizational skills and ability to manage multiple priority projects simultaneously
  • Financial acumen combined with strong analytical skills

Why Emburse?
Finance is changing-and at Emburse, we're leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend-so they can focus on what's next, not what's slowing them down.
• A Company with Momentum - We serve 12M+ users across 120 countries, helping businesses modernize
their finance operations.
• A Team That Innovates - Work alongside some of the brightest minds in finance, tech, and AI to solve real-
world challenges.
• A Culture That Empowers - Competitive pay, flexible work, and an inclusive, collaborative environment that
supports your success.
• A Career That Matters - Your work here drives efficiency, innovation, and smarter financial decision-making
for businesses everywhere.
Shape your future & find what's next at Emburse.
Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.
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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