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Banking Data Analyst Jobs in Arizona (NOW HIRING)

Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank ... data science, quantitative business analysis, and/or statistical analysis; or relevant Master ...

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank ... data science, quantitative business analysis, and/or statistical analysis; or relevant Master ...

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank ... data science, quantitative business analysis, and/or statistical analysis; or relevant Master ...

Provides Private Bankers with in-depth analysis of client financial statements using appropriate ... data and resolve complex problems with minimal guidance - Proficient computer navigation skills ...

Showing results 21-40

Banking Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do banking data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for banking data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a banking data analyst?

A Banking Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical models and data visualization tools to identify trends, assess risks, and improve operational efficiency. Their role involves working with large datasets, ensuring data accuracy, and providing insights that support regulatory compliance and business growth. Strong analytical skills, proficiency in data tools like SQL and Python, and an understanding of banking operations are essential for this role.

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

A Banking Data Analyst needs strong analytical skills, proficiency in statistics, and a background in finance, business, or a related quantitative field. Experience with SQL, Excel, data visualization tools like Tableau or Power BI, and possibly certifications such as CFA or data analytics credentials, is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate financial analysis, clear reporting, and the ability to influence decision-making in a fast-paced banking environment.

What types of projects or analyses do banking data analysts typically handle in their day-to-day work?

Banking Data Analysts are often tasked with analyzing large volumes of transaction data to identify trends, forecast financial performance, and support risk management efforts. Their daily work may include preparing regular reports for management, developing dashboards to monitor key metrics, and collaborating with departments like risk, compliance, and marketing to provide actionable insights. They may also participate in projects involving fraud detection, credit scoring, customer segmentation, or regulatory reporting. These responsibilities offer exposure to a wide variety of data-driven initiatives and opportunity to make a direct impact on business strategies.

What does a banking data analyst do for a bank?

A banking data analyst collects, analyzes, and interprets financial data to help banks make informed decisions, improve operational efficiency, and manage risk. 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.
Infographic showing various Banking Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.

DATA PRODUCT OWNER-BANKING 12+ YEARS EXPERIENCE

Infini-Tek

Phoenix, AZ • On-site

Other

Posted 8 days ago


Job description

REMOTE OK, FROM NC/ AZ

Role & Responsibilities:

  • Data Enhancement - Leads the implementation of enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics and assists management with special data projects.
  • Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use. May assist in training or mentoring less experienced consultants in the work group.
  • Business Strategy - Facilitates strategies that develop the Bank’s data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
  • Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials. Identifies and creates centralized business critical reports.
 
Requirements

Qualifications & Additional Information

  • Bachelor''s Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
  • Knowledge of data spreadsheets and databases
  • Hands-on SQL experience for writing complex queries