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Remote Data Analyst Fintech Jobs in Rutherford, NJ

Location: Remote / Hybrid -- New York Type: Full-Time Job Summary We are seeking a Data Analyst / Analytics Product Analyst with strong experience in SQL, Python, data validation, and analytics ...

This is a Temporary remote full-time role at Claritev*** At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve ...

Description The Principal Data Analyst will serve as the Capital Markets Data & Analytics lead for ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Description The Principal Data Analyst will serve as the Capital Markets Data & Analytics lead for ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Strategy and Analytics, Credit

New York, NY · On-site +1

$180K - $220K/yr

... raw credit data at a fintech or financial institution. (Mandatory) Hands-on experience with raw ... Remote Flexibility: Work from anywhere in the US with optional office access in Austin SF NYC ...

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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 Jun 8, 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst in Fintech, and why are they important?

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.

How does a Remote Data Analyst in the fintech sector 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 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 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.
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:
Data Product Analyst

Data Product Analyst

Acunor Infotech

Manhattan, NY • On-site, Remote

Other

Posted 3 days ago


Job description

Location: Remote / Hybrid -- New York
Type: Full-Time

Job Summary

We are seeking a Data Analyst / Analytics Product Analyst with strong experience in SQL, Python, data validation, and analytics product support. The role focuses on analytics delivery, QA/UAT validation, stakeholder collaboration, and supporting scalable analytical solutions.

Must-Have Skills
  • Strong SQL skills with working knowledge of Python
  • Experience with QA/UAT and data validation workflows
  • Experience validating datasets, dashboards, and data pipelines
  • Strong understanding of data modeling and analytical data structures
  • Experience with analytics reporting and business analysis
  • Strong stakeholder communication and cross-functional collaboration skills
  • Ability to troubleshoot data quality and deployment issues
Key Responsibilities
  • Own analytics datasets and dashboards from requirements through delivery
  • Perform QA, UAT, and data validation for analytical products
  • Define test cases, validation logic, and acceptance criteria
  • Analyze datasets using SQL and Python
  • Support audience segmentation, campaign analytics, and experimentation
  • Collaborate with business, analytics, and engineering teams
  • Troubleshoot data quality issues and support deployment validation
  • Maintain documentation for data products and business logic
Nice to Have
  • Experience with Marketing Analytics / Customer Analytics
  • Exposure to Cloud Data Platforms
  • Product ownership or analytics product management experience
  • Experience working with consumer/customer data

Acunor logo

About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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