1

Bank Data Analyst Jobs (NOW HIRING)

IT Data Architect

Needham, MA · On-site

$116K - $163K/yr

Design mappings between core structures and the bank's data model. • Support AI and advanced analytics solutions bydefining reusable data services, semantic layers, and scalable patterns forbatch ...

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and ... Strong experience in data analysis and reporting * Basic understanding of business and operating ...

Senior Data Analyst

Los Angeles, CA · On-site

$95K - $155K/yr

The Senior Data Analyst works within the Insights, Data Engineering & Analytics organization to meet the data pipeline strategies and objectives across the bank. The Senior Data Analyst will guide ...

Candidate should have functional knowledge in Banking Domain. The ideal candidate will have a can ... The Business/Data Analyst will work together with Product Owners, Subject Matter Experts and ...

Conduct data analysis, data integration, and data management * Identify and develop new data ... Experience in Finance or Accounting in the banking industry preferred. * Bachelor's Degree in ...

... data analyst, financial modeler, statistician Good understanding of data management practices ... Services (Banking, Wealth Management, and Capital Markets) business processes and resultant ...

Use SQL and other analytical tools to pull and transform data from core banking systems and internal databases. * Ensure data integrity and accuracy, supporting regulatory compliance and internal ...

... working as a data analyst, financial modeler, statistician • Good understanding of data ... Services (Banking, Wealth Management, and Capital Markets) business processes and resultant ...

Data Analyst

Santa Barbara, CA · On-site

$80K - $90K/yr

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a ... Prior experience supporting analytics in banking, financial services, or a regulated industry.

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... We are a global wealth management and investment banking firm serious about innovation and fresh ...

First Financial Bank Texas is a growing organization that invests in the development of its employees. They are seeking a Data Analyst I to analyze data, develop reports and dashboards, and ensure ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... We are a global wealth management and investment banking firm serious about innovation and fresh ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial ...

Use SQL and other analytical tools to pull and transform data from core banking systems and internal databases. * Ensure data integrity and accuracy, supporting regulatory compliance and internal ...

Data Analyst

Anchorage, AK · On-site

$71K/yr

Use SQL and other analytical tools to pull and transform data from core banking systems and internal databases. * Ensure data integrity and accuracy, supporting regulatory compliance and internal ...

next page

Showing results 1-20

People also search for

Bank Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do bank data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for bank data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Can a data analyst work in banks?

Yes, a data analyst can work in banks, where they analyze financial data, customer information, and transaction patterns to support decision-making and risk management. Skills in SQL, Excel, and data visualization tools are commonly required, along with knowledge of banking regulations and financial products.

What does a banking data analyst do?

A banking data analyst collects, analyzes, and interprets financial data to help banks make informed decisions, improve operations, and manage risks. They use tools like Excel, SQL, and data visualization software to identify trends and support strategic planning. Strong analytical skills and knowledge of banking regulations are essential for this role.

What is the salary of data analyst in JP Morgan?

The salary of a data analyst at JP Morgan typically ranges from $60,000 to $90,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts or those with specialized skills can earn higher compensation. Benefits often include bonuses, health insurance, and opportunities for professional development.

How does a Bank Data Analyst typically collaborate with other departments within a financial institution?

Bank Data Analysts frequently work alongside teams in risk management, compliance, marketing, and IT to ensure data-driven decisions are made across the institution. They help translate complex data findings into actionable insights for these departments, often participating in cross-functional meetings and projects. Effective communication and teamwork are essential, as analysts must understand the needs of different business units and present their analyses in a way that supports strategic objectives.

What is the difference between Bank Data Analyst vs Credit Analyst?

AspectBank Data AnalystCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; data analysis certificationsBachelor's in Finance, Economics, or related field; financial analysis certifications
Work EnvironmentBanking institutions, financial servicesBanking, lending institutions, credit departments
Employer & Industry UsageUsed for analyzing banking data, customer trends, risk assessmentUsed for evaluating creditworthiness, loan approvals, risk analysis

Both roles involve financial analysis within banking environments, but a Bank Data Analyst focuses on analyzing banking data and customer trends, while a Credit Analyst specializes in assessing credit risk and approving loans. They share similar credentials and work settings, making them closely related but distinct in their primary functions.

Is 40 too late for data science?

A career as a data analyst or data scientist can be pursued at age 40 or older, as many employers value experience, domain knowledge, and analytical skills. Transitioning into data science may require learning programming languages like Python or R, and gaining familiarity with tools such as SQL and machine learning algorithms, but age is generally not a barrier to entering the field.

What does a Bank Data Analyst do?

A Bank Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and generate reports for management. Their work supports areas such as risk management, customer analytics, regulatory compliance, and product development. By translating complex data into actionable insights, they play a crucial role in optimizing banking operations and strategies.

What are the key skills and qualifications needed to thrive as a Bank Data Analyst, and why are they important?

To thrive as a Bank Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as finance, economics, or data science. Familiarity with data analysis tools like SQL, Python, Excel, and business intelligence platforms, as well as certifications in data analytics, are commonly required. Attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These skills and qualities are vital for interpreting complex financial data accurately and delivering actionable insights to drive informed decision-making in banking operations.
More about Bank Data Analyst jobs
What cities are hiring for Bank Data Analyst jobs? Cities with the most Bank Data Analyst job openings:
What states have the most Bank Data Analyst jobs? States with the most job openings for Bank Data Analyst jobs include:
Infographic showing various Bank Data Analyst job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Temporary. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
IT Data Architect

IT Data Architect

Needham Bank

Needham, MA • On-site

$116K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Job Description
Position Location: Needham, MA or Portsmouth, NH
Job Summary: The Data Architect willdesign, govern, and lead the implementation of Needham Bank's enterprise dataarchitecture, including the bank's data model, cloud-based data platform, andcore-to-cloud data integration strategy. This role is responsible for ensuringthat data is trusted, well-modeled, well-governed, and usable across digitalbanking, analytics, risk, regulatory reporting, and AI-enabled use cases, whilepreserving the authoritative transactional system of record.
This is a strategic, hands-on role that blends architecture,modeling, governance, delivery leadership, and enablement of secure, scalableAI-ready data capabilities.
Qualifications: To perform this job successfully, theindividual must be able and willing to perform all essential duties satisfactorily.This document is not intended to be an exhaustive list of all essential dutiesrequired. Reasonable accommodation, asdetermined by management on a case-by-case basis, may be made to enableindividuals with disabilities to perform essential duties.
ESSENTIAL DUTIES & RESPONSIBILITIES
1) Enterprise Data Architecture& Modeling
• Takean "Art of the Possible" approach to champion and deliver a fully capable dataprogram
  • Define and own the bank's data model.
  • Create logical and physical data models aligned to industry standards.
  • Establish clear boundaries between:
  • System of Record, System of Engagement, and System of Insight

2) Data Platform Design
  • Define data movement patterns from DNA and key SaaS systems into the enterprise platform.
  • Ensure data designs support performance, security, auditability, and regulatory needs.

• Architect the data foundation for AI andgenerative AI use cases, including trusted access to structured andunstructured data, metadata, and governed retrieval patterns.
3) Master Data & IdentityStrategy
  • Define approach for Customer/Party master data, identity resolution, and cross-system mapping.
  • Work closely with CRM, Core Banking, and fintech partners.
  • Establish survivorship rules, golden record principles, and data reconciliation processes.

4) Data Governance &Lineage
  • Define data ownership
  • Build business glossary
  • Establish data quality standards
  • Ensure regulatory traceability for key data used in financial and risk reporting.

• Partner with Security, Risk, and Compliance toestablish controls for responsible AI data usage, lineage, retention, privacy,and explainability.
5) Integration & CoreStrategy
  • Define preferred patterns for integrating with bank core:
  • CDC/event-first where possible, Batch extracts where required
  • Reconciliation and exception handling
  • Design mappings between core structures and the bank's data model.

• Support AI and advanced analytics solutions bydefining reusable data services, semantic layers, and scalable patterns forbatch, real-time, and API-based consumption.
6) Collaboration & DeliveryLeadership
  • Work closely with Data engineers, Application teams, Analytics team, Security & Risk, Compliance & Audit
  • Translate high-level strategy into implementable roadmaps.
  • Review designs, data models, and integration plans.
  • Mentor junior data engineers and analysts.

• Collaborate with analytics, application, andemerging AI teams to evaluate new use cases, define architecture guardrails,and accelerate adoption of AI capabilities aligned with bank priorities.
Experience and Skills
EDUCATION & EXPERIENCE
8+ years of experience in enterprise data architecture
  • 5+ years working with cloud data platforms (Azure strongly preferred)
  • Deep experience in relational modeling (SQL Server / Azure SQL)
  • Hands-on experience with: Azure SQL, Azure SQL Managed Instance and SQL Server, Azure Data Factory
  • Experience with core banking or financial services data
  • Strong understanding of OLTP, Data lakes and Event-driven integration
    o Understandingof AI/ML and generative AI data requirements, including data quality, metadata,lineage, security, and monitoring considerations.

PREFERRED EXPERIENCE
  • Experience with Fiserv DNA or another core banking system
  • Exposure to FIBO / FIB-DM or BIAN frameworks
  • Experience with Salesforce, Snowflake, API Management a plus.
  • Prior role in a bank, fintech, or highly regulated environment
  • Exposure to AI-ready data architectures,including support for model training, inference, retrieval, or responsible AIgovernance in regulated environments.

WORKING CONDITIONS/PHYSICAL DEMANDS
  • Normal business office environment
  • Must be able to work flexible hours to address system upgrades or problem resolution
  • Ability to work in a fast-paced environment
  • Able to manage multiple projects and deliverables concurrently, keeping stakeholders and supervisors informed of progress
  • Must be able to interact and communicate effectively across departments and executive management

PAY RANGE: $116,440.45 - $163,016.63
The pay range provided is based on what we believe is a reasonable estimate for the pay range for this job at the time of posting. Actual pay may vary based on experience, skills, and market factors; additional compensation may apply.
Needham Bank offers a competitive salary and an amazing benefit package for a full-time employee which includes fully paid medical and dental insurance, HRA, 401(k) plan with an 8% bank match, paid time off (PTO), paid holidays, a bonus program, flexible spending accounts, vision service plan, group term life insurance, short and long term disability insurance, tuition reimbursement, and an Employee Assistance Program. We offer a great benefit package to our eligible part-time employees as well.
At NB, we are dedicated to building a diverse, inclusive and authentic workplace - if you are excited about this role, but your past experience doesn't align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles.
Needham Bank is an Equal Opportunity/Affirmative Action Employer. Needham Bank will provide all applicants for employment and all employees with equal opportunity for employment and promotion regardless of race, color, religion, gender, national origin or ancestry, age, disability, veteran status, military service, sexual orientation, genetic information, or gender identity.