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Remote Data Analyst Fintech Jobs in Manchester, NH

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Showing results 41-60

Remote Data Analyst Fintech information

See Manchester, NH salary details

$33.9K

$82.3K

$135.4K

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

As of Sep 4, 2026, the average yearly pay for remote data analyst fintech in Manchester, NH is $82,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 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 are popular job titles related to Remote Data Analyst Fintech jobs in Manchester, NH?

For Remote Data Analyst Fintech jobs in Manchester, NH, the most frequently searched job titles are:

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

The top searched job categories for Remote Data Analyst Fintech jobs in Manchester, NH are:

Infographic showing various Remote Data Analyst Fintech job openings in Manchester, NH as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,283 per year, or $39.6 per hour.

Solutions Delivery Engineer (Remote)

RealPage, Inc.

Concord, NH • On-site, Remote

$88K - $150K/yr

Other

Posted 12 days ago


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

227th of 247 rated software companies


Job description

Overview
Cherre is now a RealPage company, expanding our ability to deliver innovative data and technology solutions that transform the real estate industry. Join us as we build what's next together.
Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique "single source of truth," Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.
We're looking for a passionate and driven Solutions Delivery Engineer to join our Solutions Delivery Team (SDT). In this role you'll own the full data lifecycle for client delivery as part of a small, high-ownership team working at the cutting edge of real estate data services.
Responsibilities
  • Understand and translate client data requirements into clear, well-scoped technical tasks
  • Design and build scalable, maintainable data pipelines aligned to Cherre's standards, spanning ingestion, transformation, and delivery
  • Author and maintain data models using dbt across BigQuery and Snowfl ake environments, managing schema evolution and version control
  • Contribute to a shared automation and tooling layer that enables the team to resolve issues and deliver connectors faster and more consistently
  • Conduct thorough testing and data validation to ensure accuracy, performance, and compliance with client standards
  • Participate in peer reviews to ensure quality, consistency, and adherence to best practices
  • Write clear documentation for each pipeline or transformation step, including data lineage, mapping logic, and assumptions
  • Monitor, support, and maintain data pipelines for ongoing reliability; iterate on solutions based on client feedback and evolving needs

Qualifications
  • Strong experience in database technologies and data warehousing
  • Experience in Python for backend development and data processing
  • A strong understanding of data modeling techniques (3NF, Dimensional, etc.) and their intended use cases
  • Hands-on experience with cloud data warehouse platforms like BigQuery, Snowfl ake, or Redshift
  • Experience with modern data transformation tools like dbt or Dataform
  • Experience with ELT/ETL frameworks and data ingestion pipelines at scale
  • Working knowledge of data quality frameworks, error handling, logging, and observability practices
  • Clear and professional communication to manage expectations, explain pipeline behavior, and resolve data discrepancies
  • Experience creating data lineage diagrams and documenting pipelines
  • Ability to design and lead data architecture decisions, including schema evolution, pipeline orchestration, and infrastructure-as-code (e.g., Terraform, Docker, Kubernetes)
  • Strong interpersonal skills to align stakeholders, manage ambiguity, and navigate evolving client expectations

Bonus Skills
  • Experience working with real estate data domains such as property, leasing, tenant, transactions, and capital markets
  • Demonstrated experience ingesting and transforming 3rd-party real estate market data (e.g., CoreLogic, CompStak, Yardi Matrix) and application data (e.g., Yardi, MRI, VTS, Realpage Onsite)
  • Familiarity with knowledge graph or graph database concepts
  • Experience with GraphQL APIs and metadata management
  • Knowledge of DevOps practices and cloud platforms like AWS or Google Cloud Platform (GCP)
  • Experience working in Agile environments with a focus on rapid iteration and continuous improvement
  • Deep experience with real estate data ecosystems, including canonical modeling across property management, leasing, and investment systems
  • Demonstrated success integrating bespoke and third-party real estate data at scale, ensuring consistency, integrity, and compliance with client data standards

#LI-Remote
Pay Range
USD $88,400.00 - USD $150,600.00 /Yr.

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