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Remote Data Analyst Fintech Jobs in Rutherford, NJ

Mercor

Data Analyst - Insights Specialist

New York, NY · Remote

$80 - $160/hr

Analyst / Insights Experts Type: Contract Compensation: $80-$160/hour Location ... Remote Role Responsibilities * Review and assess domain-specific documents for quality, accuracy ...

New

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$88K - $111K/yr

Act as a healthcare data SME on a rapidly growing Data & Analytics team. * Design, develop, and ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area ... Background in gaming, lottery, fintech, or other regulated industries * Experience with real-time ...

Ambrook

Product Manager, Fintech

New York, NY · On-site +1

$140K - $210K/yr

Fluent with using AI tools for writing, data analysis, and software engineering, using them to ... Work-from-home/remote office stipend, or a desk at Ambrook's NYC, Denver, or San Francisco offices.

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All JobsData Analyst Fintech JobsRemote Data Analyst Fintech JobsRemote Data Analyst Fintech Jobs in Rutherford, NJ

Remote Data Analyst Fintech information

See Rutherford, NJ salary details

$34.7K

$84.2K

$138.6K

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

As of Sep 2, 2026, the average yearly pay for remote data analyst fintech in Rutherford, NJ is $84,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 per year, depending on experience, location, and employer.

What does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

What are the key skills and qualifications needed to thrive as a remote data analyst in fintech?

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

What is the difference between Remote Data Analyst Fintech vs Remote Data Analyst Banking?

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

What job categories do people searching Remote Data Analyst Fintech jobs in Rutherford, NJ look for?

The top searched job categories for Remote Data Analyst Fintech jobs in Rutherford, NJ are:

What cities near Rutherford, NJ are hiring for Remote Data Analyst Fintech jobs?

Cities near Rutherford, NJ with the most Remote Data Analyst Fintech job openings:

Remote Data Analyst Fintech jobs near you

Senior Data Scientist / Analyst, Finance

Polymarket

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

About Polymarket
Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.
We're growing quickly, both in terms of volume ($115B traded to date) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
About the Role
Polymarket is looking for a Senior Financial Data Analyst to sit between our finance team and our data warehouse. You'll build and own the reporting layer that finance runs on, turning raw platform, on- and off-chain trading activity, and general ledger data into clean, reconciled financial reporting that people can trust without checking it by hand first.
The other half of the role is analytical. You'll be the person who understands how fees, incentives, and promotions actually flow through to revenue and retention, including what a promotion cost, what it returned, and whether the traders it brought in stayed. And you'll do it in a fast-moving environment where new products and incentive structures launch constantly.
What You'll Do
  • Build and maintain the financial reporting layer in our data warehouse, including the modeled tables finance relies on for close, forecasting, and board reporting
  • Work across the general ledger and platform data to reconcile what the business recorded against what actually happened on the platform
  • Translate raw transaction, fee, and trading activity data into clean financial reports that need no manual cleanup before anyone can use them
  • Analyze fee structures and how they affect volume, revenue, and trader behavior
  • Measure the return on incentives and promotions, including what they cost, what revenue they drove, and whether the traders they acquired retained
  • Partner with finance through monthly close, variance analysis, and the numbers that feed forecasts and investor reporting
  • Replace ad hoc requests with recurring reporting, working with analytics engineers to promote it into the modeled layer
  • Write end-to-end documentation that's clear and thorough enough that anyone on the team can pick up your reports and models without friction

What We're Looking For
  • 7+ years in data analysis/science, financial analysis, or a similar role, with production experience building reporting that a finance team depends on
  • Expert SQL. You can work through complex joins across transaction-level data without supervision
  • Data science background including causal inference, quasi-experimental methods, or predictive modeling in Python or R
  • Working knowledge of accounting fundamentals including general ledger structure, accruals, revenue recognition. You're comfortable enough to reconcile a report and recognize when it is wrong
  • Experience building in a modern cloud data warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse
  • A high bar for accuracy. You reconcile before you publish, and you know which numbers cannot be off by a dollar
  • Comfort translating between finance and engineering, where the same word often means two different things.
  • Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace
  • (Plus) Experience with dbt or similar transformation tooling
  • (Plus) Familiarity with on-chain data or crypto accounting
  • (Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial products

Benefits
  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories

Apply