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Banking Data Analyst Jobs in Texas (NOW HIRING)

TBK Bank, SSB

Data Analyst

Dallas, TX

Join TBK Bank! At TBK Bank, a subsidiary of Triumph, we're a team of passionate, driven ... Support customer and product initiatives through data analysis and insights. * Identify ...

TBK Bank, SSB

Data Analyst

Dallas, TX · On-site

Join TBK Bank! At TBK Bank, a subsidiary of Triumph, we're a team of passionate, driven ... Support customer and product initiatives through data analysis and insights. * Identify ...

FIRST SERVICE CREDIT UNION

Data Analyst

Houston, TX · On-site

Working within the Data Operations Department, the Data Analyst collects and analyzes data from core banking, lending, and member-facing systems - sales figures, market and member research ...

Triumph Financial

Data Analyst

Dallas, TX

Join TBK Bank! At TBK Bank, a subsidiary of Triumph, we're a team of passionate, driven ... Support customer and product initiatives through data analysis and insights. * Identify ...

Triumph Financial

Data Analyst

Dallas, TX · On-site

Join TBK Bank! At TBK Bank, a subsidiary of Triumph, we're a team of passionate, driven ... Support customer and product initiatives through data analysis and insights. * Identify ...

FIRST SERVICE CREDIT UNION

Data Analyst

Houston, TX · On-site

Working within the Data Operations Department, the Data Analyst collects and analyzes data from core banking, lending, and member-facing systems - sales figures, market and member research ...

BravoTech

Data Analyst

Dallas, TX · On-site

The Data Analyst will be part of the Strategic & Risk Management team, supporting the development ... Experience working within a financial institution, banking, investment, trading, or risk management ...

SWBC

Data Analyst

San Antonio, TX · On-site

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Experience in banking, payments processing, or risk management preferred. * Experience ...

Swbc

Data Analyst

San Antonio, TX · On-site

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Experience in banking, payments processing, or risk management preferred. * Experience ...

SWBC

Data Analyst

San Antonio, TX · On-site

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Experience in banking, payments processing, or risk management preferred. * Experience ...

the monks

Data Analyst

Austin, TX · Hybrid

$90K - $120K/yr

Please note that we will never request payment or bank account information at any stage of the ... About the Role We are seeking an experienced, detail-minded data analyst consultant to join our ...

First National Bank Texas

Data Analyst

Killeen, TX · On-site

* Use multiple vendor programs to query and extract data for analysis * Maintain datasets using Oracle/SQL * Integrate automation, ETL/ELT of data, and perform exception handling * Create, maintain ...

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All JobsBanking Data Analyst JobsBanking Data Analyst Jobs in Texas

Banking Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do banking data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for banking data analyst in Texas is $76,992.00, 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.

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

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

What are popular job titles related to Banking Data Analyst jobs in Texas?

For Banking Data Analyst jobs in Texas, the most frequently searched job titles are:

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

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

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

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

Banking Data Analyst jobs near you
Infographic showing various Banking Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Business Data Analyst in Banking Domain

IT America Inc

Austin, TX • On-site

Contractor

Posted 11 days ago

Job description

Position: Business Data Analyst in Banking Domain

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Experience: 12–15+ Years

Key Skills: Data Analysis, strong SQL, ETL, Reporting, Azure Cloud and LoanIQ experience is a plus

Job Summary:

We are seeking an experienced Senior Data Analyst with 12–15+ years of experience in the Banking domain. The ideal candidate will have strong expertise in data analysis, advanced SQL, ETL, reporting, Azure Cloud, and banking data environments.

Candidates should have strong knowledge of commercial banking and lending operations, including loan servicing, loan transactions, loan balances, payments, interest, fees, commitments, and related banking processes. LoanIQ experience is highly preferred.

The candidate will work closely with banking business teams, data engineering teams, application teams, and reporting stakeholders to analyze complex banking data, ensure data quality, support reporting requirements, and deliver actionable insights.

Key Responsibilities:

  • Perform advanced data analysis across banking and lending datasets.
  • Analyze commercial banking data related to loans, loan accounts, commitments, payments, balances, interest, fees, and transactions.
  • Develop complex SQL queries to extract, analyze, reconcile, and validate banking data.
  • Analyze large datasets to identify data trends, discrepancies, anomalies, and data-quality issues.
  • Work with business stakeholders to understand banking requirements and translate them into data and reporting solutions.
  • Analyze data from banking applications and source systems supporting commercial lending and banking operations.
  • Develop and validate ETL/ELT processes for banking data.
  • Perform source-to-target validation, data reconciliation, data mapping, and data-quality analysis.
  • Support development and maintenance of banking reports and operational reporting.
  • Validate data used for loan, account, transaction, payment, and portfolio reporting.
  • Investigate data discrepancies and perform root-cause analysis across banking systems.
  • Support data migration, integration, and conversion activities involving banking applications.
  • Work with Microsoft Azure cloud-based data platforms and banking data environments.
  • Collaborate with data engineers, developers, business analysts, QA teams, and banking subject-matter experts.
  • Support SIT/UAT by performing data validation, reconciliation, defect analysis, and reporting verification.
  • Prepare technical and functional documentation including data mappings, business rules, data definitions, source-to-target mappings, and reporting specifications.
  • Ensure banking data follows established data governance, data quality, security, and audit standards.

Required Technical Skills:

  • 12–15+ years of experience in Data Analysis / Data Analytics.
  • Strong and recent Banking domain experience.
  • Advanced SQL skills.
  • Strong experience with ETL/ELT processes.
  • Strong experience in data analysis, data validation, reconciliation, and data quality.
  • Strong experience with reporting and business intelligence.
  • Experience working with Microsoft Azure cloud technologies.
  • Strong understanding of relational databases, data warehouses, data models, and enterprise banking data.
  • Experience working with large-scale banking datasets.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication and stakeholder-management skills.