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Banking Data Analyst Jobs in Georgia (NOW HIRING)

Data Analyst/Eng Alpharetta, GA - Hybrid Required Skills: * Strong experience in Teradata for data ... Experience working in financial services, banking, or fintech environments . * Knowledge of data ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... We never request money or banking details from job applicants. Learn more about spotting and ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... We never request money or banking details from job applicants. Learn more about spotting and ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... We never request money or banking details from job applicants. Learn more about spotting and ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... We never request money or banking details from job applicants. Learn more about spotting and ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... We never request money or banking details from job applicants. Learn more about spotting and ...

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... for analytics - semantic layers, metric definitions, and reconcilable outputs Security and ... Go Bankers, Go. Employment Type: FULL_TIME

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... for analytics - semantic layers, metric definitions, and reconcilable outputs Security and ... Go Bankers, Go. Employment Type: FULL_TIME

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Showing results 1-20

Banking Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do banking data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for banking data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 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.

What are the most commonly searched types of Banking Data Analyst jobs in Georgia?

The most popular types of Banking Data Analyst jobs in Georgia are:

What job categories do people searching Banking Data Analyst jobs in Georgia look for?

The top searched job categories for Banking Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Banking Data Analyst jobs?

Cities in Georgia with the most Banking Data Analyst job openings:

Infographic showing various Banking Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Banking Data & Analytics SME

Tier4 Group

Atlanta, GA

Full-time

Posted 4 days ago


Job description

Location: Atlanta, GA metro area
6+ contract (likely extension)
Position: Banking Data & Analytics Subject Matter Expert (SME)
We are seeking a seasoned Banking Data & Analytics Subject Matter Expert (SME) to support a major banking transformation initiative. This individual will serve as the critical link between business stakeholders and technical teams, bringing deep expertise in retail and commercial banking while helping shape data-driven solutions that improve customer insights, profitability, reporting, growth, and risk management.

The ideal candidate combines strong banking domain knowledge with experience leading business and data initiatives, translating complex business needs into actionable requirements for data, analytics, and engineering teams.

Key Responsibilities
Banking Consulting & Stakeholder Engagement
Lead discovery sessions and workshops with executives, business leaders, product owners, and operational teams.
Provide expertise across retail and commercial banking products, processes, customer journeys, and performance metrics.
Identify key business challenges, opportunities, KPIs, and analytical use cases.
Challenge assumptions and recommend best practices based on banking industry experience.
Partner with stakeholders to prioritize initiatives based on business value, data readiness, and risk considerations.
Business & Data Translation
Translate business goals into detailed data, reporting, and analytics requirements.
Define KPI calculations, business rules, dimensional models, data quality standards, and reporting definitions.
Work closely with data architects, engineers, BI developers, and analytics teams to develop trusted business-ready data assets.
Support Customer 360, reporting, profitability, growth, and operational analytics initiatives.
Ensure data models and reporting platforms support current business needs and future AI-driven capabilities.
Required Qualifications
12+ years of experience in Business Analysis, Product Ownership, Consulting, or related disciplines.
5+ years of direct banking industry experience supporting U.S. financial institutions.
Proven success delivering banking data, analytics, reporting, Customer 360, data warehouse, or lakehouse initiatives.
Strong understanding of retail and commercial banking products, operations, and performance metrics.
Demonstrated ability to facilitate executive-level workshops and stakeholder discussions.
Experience gathering requirements and translating business needs into technical specifications.
Strong communication, presentation, and stakeholder management skills.
Working knowledge of Agile methodologies, user acceptance testing, and change management processes.
Preferred Qualifications
Experience working with regional or mid-sized banks.
Microsoft Fabric, Azure Data Services, Power BI, SQL, or Salesforce experience.
Exposure to data governance, metadata management, and master data initiatives.
Experience defining banking metrics related to deposits, lending, profitability, customer relationships, churn, cross-sell, and executive reporting.
CBAP, PMI-PBA, CSPO, or other relevant certifications.