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Remote Data Analyst Fintech Jobs in Rutherford, NJ

Sr Data Analyst

Manhattan, NY · On-site +1

$90K/yr

Amsive is seeking a Senior Data Analyst to help build the next generation of our analytics platform ... Demonstrated ability to work independently while collaborating effectively within a remote team.

Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

The Role As a Senior Data Analyst, you'll be a foundational part of our data team -- shaping how ... Experience working in fast-moving startups or remote-first teams is a plus.

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... AI/data, business operations, recruiting, corporate development, private markets, or ...

Reporting into the Director of Fintech Risk, we are seeking a motivated Fintech Risk Analyst who ... and/or data privacy regulations (GLBA, FCRA, state laws) * Experience in Third-Party Risk ...

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Data Analytics Analyst II

New York, NY · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

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 ...

Showing results 41-60

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 Aug 9, 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?

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 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 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:

Sr Data Analyst

Amsive

Manhattan, NY • On-site, Remote

$90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Amsive rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

18th of 50 rated marketing agency


Job description

Who We Are
At Amsive, we're more than just a performance marketing agency; we're a team that thrives on collaboration and innovation. We offer a supportive environment where personal growth is just as important as professional development. We're a team of passionate individuals ready to tackle challenges, learn from one another, and drive results. We believe in empowering our team members, providing them with the tools they need to succeed, and trusting them to lead the way. With decades of expertise and a commitment to integrated solutions, we don't meet the industry standard; we're setting it.
If you're looking for a place where your work matters, a career path you can grow on your terms, and a team that's as invested in your success as you are, Amsive is for you. We offer a unique blend of flexibility, growth opportunities, and a culture that values each individual. Join us, and be part of the team ready to welcome, support, and grow with you.
*We regret to inform you that currently, Amsive DOES NOT provide sponsorship opportunities.
This is a HYBRID position, 1 day in office per week. Our office is located in the Flatiron District in New York, NY
What we are looking for:
Amsive is seeking a Senior Data Analyst to help build the next generation of our analytics platform within Microsoft Fabric. This is not a traditional reporting role, you will help design semantic models, develop scalable analytics solutions, build AI-enabled data experiences, and improve how business users consume data across our organization.
Working alongside Data Engineers, Solution Architects, Business Intelligence professionals, and Marketing teams, you'll help transform enterprise data into trusted, reusable assets that power reporting, AI applications, and operational decision making. We're looking for someone who enjoys solving complex technical problems, embraces AI-assisted development, and constantly looks for better ways to build, automate, and deliver analytics.
What You Will Be Doing:
Semantic Modeling & Analytics
  • Design, develop, and maintain Power BI semantic models that support enterprise reporting and self-service analytics.
  • Develop scalable star schemas, measures, calculated columns, hierarchies, perspectives, and Row-Level Security.
  • Optimize semantic models for performance, usability, and governance.
  • Build reusable metrics and governed business logic shared across reporting solutions.

Microsoft Fabric & Data Engineering
  • Develop and enhance analytics solutions using Microsoft Fabric Lakehouse technologies.
  • Write and optimize SQL, Spark SQL, and PySpark notebooks supporting analytics workloads.
  • Partner with Data Engineers to improve data quality, performance, and reliability.
  • Troubleshoot data pipelines, semantic models, and reporting issues across the platform.

AI & Modern Analytics
  • Design AI-enabled analytical experiences using Microsoft Fabric Data Agents and Azure AI technologies.
  • Develop structured outputs (including JSON) that support internal web applications and AI-powered user experiences.
  • Evaluate emerging AI capabilities and recommend practical applications that improve productivity and business value.
  • Use AI-assisted development tools to accelerate delivery, improve quality, and automate repetitive work.

Operational Intelligence
  • Build dashboards that monitor Fabric capacity utilization, refresh performance, workload health, pipeline execution, and overall platform performance.
  • Develop reporting that helps engineering teams proactively identify performance bottlenecks and operational issues.
  • Help establish monitoring standards for enterprise analytics solutions.

What We're Looking For:
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or a related technical discipline.
  • 3-5 years of experience designing analytical solutions using modern cloud data platforms.
  • Strong experience with Microsoft Fabric, Microsoft Power BI, or comparable enterprise analytics platforms.
  • Experience developing Power BI semantic models and writing DAX measures.
  • Strong SQL skills with experience querying and transforming large datasets.
  • Experience developing PySpark and Spark SQL solutions.
  • Understanding of dimensional modeling and enterprise data warehouse concepts.
  • Experience working with Git-based source control.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Demonstrated ability to work independently while collaborating effectively within a remote team.
  • Experience with Microsoft Fabric Lakehouse architecture, Direct Lake semantic models, or Delta Lakes are preferred

Additional Information:
  • Salary starting at $90,000/yr, based on skills and experience
  • Paid time off that includes Unlimited Vacation Time, Annual Sick Days, Mental Health Days, and Holidays
  • Dental, Vision, and Health Insurance
  • 401(k) with a company match program
  • Paid Parental Leave

Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
If you need any assistance seeking a job opportunity at Amsive, or if you need reasonable accommodation with the application process, please call (331) 318-7800.
Amsive is proud to be an Equal Opportunity Employer. We are committed to building a supportive and inclusive environment for all employees. It is Amsive's continuing policy to provide equal employment opportunity and not to discriminate on the basis of race, color, religion, pregnancy or childbirth, marital status, national origin, ancestry or citizenship status, age, disability, sex, sexual orientation, gender identity, veteran status or any other characteristic protected by applicable federal, state or local laws. This policy applies to all aspects of employment, including (but not limited to) application for employment, recruiting, hiring, compensation, benefits, promotions and transfers, training, layoffs, rehires, termination of employment and all other terms and conditions of employment.
All offers of employment with Amsive are contingent upon the successful completion of background checks, which may include criminal history and reference verification, conducted in compliance with applicable state, federal, and local laws.
As part of the Company's equal employment opportunity policy, Amsive will also take affirmative action as called for by applicable laws and Executive Orders to ensure that minority group individuals, females, disabled veterans, recently separated veterans, other protected veterans, Armed Forces service medal veterans, and qualified disabled persons are introduced into our workforce and considered for promotional opportunities.

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