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Bank Data Analyst Jobs in Missouri (NOW HIRING)

BBI

Senior Data Analyst

Saint Louis, MO · On-site

$83K - $105K/yr

Direct experience working with financial, wealth, investment management, brokerage, or banking data ... Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, or Databricks on Azure)

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UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

... analysts to design high-impact data solutions. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Product leadership. This role is hybrid ...

TEKsystems

Data Product Manager

Kansas City, MO · Hybrid

$50.50 - $75/hr

... analysts to design high-impact data solutions. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Product leadership. How you will spend ...

US Bank

Data Scientist

Earth City, MO

$111K - $131K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Analyze large and complex datasets to identify business trends, operational efficiencies, customer ...

Academy Bank

Business Intelligence Analyst

Kansas City, MO · On-site

$55K - $65K/yr

... complex data problems. * Utilize Power BI, DAX, M, and SQL to expand and optimize the Bank ... This analysis may include analyzing trends and synthesizing multiple datasets to uncover valuable ...

Commerce Bank

Enterprise Data Architect

Saint Louis, MO · On-site +1

$105K - $123K/yr

And after 160 years, we know Commerce Bank is only at its best when our people are. If this sounds ... Analyze and optimize data models for performance, scalability and cost effectiveness in the cloud.

NISA Investment Advisors, LLC

Intern

Saint Louis, MO · On-site

$16.50 - $21.75/hr

... analyzing U.S. corporate pension plan data to assess and report on funded status volatility Operations • Compiling bank data according to procedures throughout the day, which includes bank ...

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All JobsBank Data Analyst JobsBank Data Analyst Jobs in Missouri

Bank Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do bank data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for bank data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

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?

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.

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.

What are popular job titles related to Bank Data Analyst jobs in Missouri?

For Bank Data Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Bank Data Analyst jobs in Missouri look for?

The top searched job categories for Bank Data Analyst jobs in Missouri are:

Bank Data Analyst jobs near you
Infographic showing various Bank Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Senior Data Analyst

BBI

Saint Louis, MO • On-site

$83K - $105K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

As a Senior Data Analyst in our Wealth Management technology practice, you will play a central role in shaping client and portfolio data solutions. You will be responsible for navigating complex legacy and modern data structures—including client profiles, accounts, holdings, transactions, performance metrics, and advisory billing data. You will perform deep-dive data profiling and pattern analysis using advanced SQL, assess data health and quality, and author comprehensive Source-to-Target Mapping (STTM) documentation. Crucially, you will act as the principal functional contact for ETL/Data Engineers, effectively translating business logic into actionable engineering specifications and facilitating clear walkthroughs.


Primary Responsibilities


Data Profiling & Pattern Analysis: Execute complex SQL queries across relational databases, data lakes, and warehouses to analyze data distribution, evaluate data quality, discover data anomalies, and identify underlying relational patterns. Source-to-Target Mapping (STTM): Design, author, and maintain robust, granular STTM documents detailing business rules, field transformations, data types, primary/foreign key relationships, and data pipeline logic. Developer Collaboration & Bridge: Conduct detailed walkthroughs of mapping documents with engineering teams (ETL/Data Pipeline developers), clarifying edge cases, data constraints, and business intent to drive smooth implementation. Data Quality & Governance: Establish baseline data quality metrics, define data validation rules, and collaborate with data governance leads to remediate data discrepancies or gaps across financial datasets. Wealth Management Domain Application: Analyze domain-specific data entities, including household relationships, investment portfolios, asset classes, custody positions, fee calculations, and trade histories. Stakeholder Communication: Articulate data insights, structural risks, and mapping dependencies clearly to both technical developers and non-technical business stakeholders/product owners. Testing & Acceptance Support: Assist QA and engineering teams during sprint cycles by validating transformed datasets against original target specifications using customized SQL validation scripts


Experience: 5+ years of hands-on experience as a Data Analyst, Data Modeler, or Technical Business Analyst in enterprise data environment initiatives. Advanced SQL Expertise: Proven mastery in writing complex SQL scripts (multi-table JOINs, CTEs, window functions, subqueries, and analytical functions) for data extraction and profiling. STTM Documentation: Demonstrated experience creating explicit, comprehensive Source-to-Target Mappings (STTM) for ETL/ELT pipelines, reporting, or data warehouse migrations. Data Quality & Profiling: Strong background in identifying data anomalies, missingness, structural inconsistencies, and data integrity issues. Communication Skills: Exceptional verbal and written communication skills with proven experience leading technical specification reviews with software developers and architects. Education: Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or a related quantitative field. Preferred Experience & Skills • • • • Wealth Management Domain Knowledge: Direct experience working with financial, wealth, investment management, brokerage, or banking data domains (e.g., portfolio management, custodial feeds, advisory accounts). MS Azure Cloud Environment: Exposure to or experience working with cloud data platforms on Microsoft Azure (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, or Databricks on Azure). Modern Data Stacks: Familiarity with modern data modeling concepts (Dimensional, Snowflake, Data Vault) and orchestration workflows. Agile/Scrum Framework: Experience working in Agile/Scrum delivery models, managing user stories.

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