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Data Analyst Fintech Jobs in Connecticut (NOW HIRING)

Priceline

Senior Analyst, Order to Cash

Norwalk, CT · Hybrid

$88K - $116K/yr

The Analyst will partner with Fintech, GL, RevOps , FinOps and Compliance to ensure that ... data migration efforts ensuring data integrity and business continuity; partner with Fintech ...

Eagle Point Credit

Distressed Loan Analyst

Greenwich, CT · On-site

$42K - $56K/yr

MPC comprises a team of 16 investment and fintech professionals combining decades of experience in credit analytics, data engineering, and loan trading. The firm is based in Greenwich, CT. As a firm ...

Eagle Point Credit

Distressed Loan Analyst

Greenwich, CT · On-site

$42K - $56K/yr

MPC comprises a team of 16 investment and fintech professionals combining decades of experience in credit analytics, data engineering, and loan trading. The firm is based in Greenwich, CT. As a firm ...

P2P

Accounting Systems & Operations Analyst

Stamford, CT · On-site

$100 - $125/hr

Support NetSuite administration, reporting, saved searches, workflows, user access, testing, data ... fintech, technology, or multi-entity experience is a plus. Skills * Curious and proactive, with a ...

Acrisure

Transportation Client Advisor

Wallingford, CT · On-site

$75K - $150K/yr

Develop and execute strategic growth plans, leveraging data-driven insights, predictive analytics ... fintech-enabled insurance leader. Sales Process & Cadence Discipline * Follow structured sales ...

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All JobsData Analyst Fintech JobsData Analyst Fintech Jobs in Connecticut

Data Analyst Fintech information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do data analyst fintech jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analyst fintech in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does a data analyst do in fintech?

A Data Analyst in Fintech collects, processes, and analyzes financial data to uncover trends, optimize business decisions, and improve financial services. They work with big data, statistical models, and visualization tools to provide insights that drive product development, risk management, and customer experience. Their role often involves working with machine learning, SQL, Python, and BI tools to extract meaningful patterns from financial transactions, user behavior, and market trends.

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

To thrive as a Data Analyst Fintech, a strong foundation in data analysis, statistical modeling, and financial acumen—often backed by a relevant degree such as in mathematics, statistics, finance, or computer science—is essential. Proficiency with analytical tools like SQL, Python, R, and specialized fintech platforms as well as certifications like CFA or data analytics certificates is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills differentiate top performers, enabling them to present complex findings clearly. These skills are crucial for extracting actionable insights from financial data and supporting data-driven decision-making in the rapidly evolving fintech industry.

What types of teams or departments do data analysts typically collaborate with in a fintech company?

Data Analysts in fintech companies frequently work alongside product development, engineering, risk management, and business strategy teams to analyze data and provide actionable insights. Their work often contributes to fraud detection, customer experience optimization, and financial forecasting, requiring close communication with both technical and non-technical stakeholders. Collaboration is key, as insights generated by data analysts often guide the direction of products and services and influence important business decisions. This cross-functional interaction not only broadens professional experience but also provides opportunities for career growth within different areas of the fintech sector.

What are the most commonly searched types of Data Analyst Fintech jobs in Connecticut?

The most popular types of Data Analyst Fintech jobs in Connecticut are:

What are popular job titles related to Data Analyst Fintech jobs in Connecticut?

For Data Analyst Fintech jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Analyst Fintech jobs in Connecticut look for?

The top searched job categories for Data Analyst Fintech jobs in Connecticut are:

Data Analyst Fintech jobs near you
Infographic showing various Data Analyst Fintech job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Investment Data Analyst - Automation

Benchmark IT- Technology Talent

Stamford, CT • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Key responsibilities

  • Lead data conversion projects by extracting, transforming, and loading data between portfolio management systems.

  • Integrate and convert historical financial data into structured formats for backfilling and support automated data feeds by troubleshooting issues.

  • Respond to ad-hoc data requests from client-facing teams with timely and accurate information.

Job description

Investment Data Analyst - Automation About the Role
Our client, a leading fintech firm, is seeking an Investment / Financial Data Analyst to join the Automation team in Stamford, CT. This role will ensure a seamless flow of financial data for the firm s clients and internal teams. This individual will support business critical processes from portfolio management system conversions to performance reconciliation and will be part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting.
Responsibilities

  • Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards and managing the conversion of large datasets from legacy systems.
  • Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling.
  • Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system.
  • Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information.

Qualifications

  • Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field
  • 2-5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency and solid accounting knowledge
  • Expertise with Addepar and familiarity with other portfolio management systems, such as Axys, Black Diamond, Orion.
  • Advanced proficiency in Excel and text file manipulation.
  • Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data
  • Understanding of Salesforce, Monday.com and Jira
  • Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed

Benefits
This role offers a competitive compensation package including base salary, equity for all full-time employees and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

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