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Bank Data Analytics Jobs in Grapevine, TX (NOW HIRING)

MM International

Data Engineer - F2F Interview

Plano, TX · On-site

$109K - $131K/yr

... Bank - Data Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable ...

Bank OZK

Associate, CECL Analytics

Dallas, TX · On-site

The position focuses on risk analysis, reporting, and understanding the Bank's data inputs for various credit risk models and support related programs such as CRE/Capital Stress Testing, Credit ...

Bank OZK

Associate, CECL Analytics

Dallas, TX · On-site

The position focuses on risk analysis, reporting, and understanding the Bank's data inputs for various credit risk models and support related programs such as CRE/Capital Stress Testing, Credit ...

US Bank

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$109K - $132K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ...

US Bank

Senior Data Engineer with Data Analytics

Irving, TX · On-site

$101K - $138K/yr

Bank is seeking a Senior Data Analytics / Software Developer to help deliver modern, secure, scalable analytics and reporting solutions using Azure, SQL Server, Power BI, OLAP modeling, and ...

New

DataBank

Director of AI & Data Analytics

Dallas, TX · On-site

DataBank is headquartered in the historic former Federal Reserve Bank Building, in downtown Dallas ... We're looking for a hands-on Director of AI & Data Analytics who still loves getting their hands ...

US Bank

Branch Operations Data Engineer

Irving, TX · On-site

$92K - $109K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Presents data and analysis in a clear and concise manner allowing the audience to quickly ...

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 ... Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years ...

TBK Bank, SSB

Data Analyst

Dallas, TX

Join TBK Bank! At TBK Bank, a subsidiary of Triumph, we're a team of passionate, driven ... Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years ...

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All JobsBank Data Analytics JobsBank Data Analytics Jobs in Grapevine, TX

Bank Data Analytics information

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

How does a bank data analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What are the key skills and qualifications needed to thrive as a bank data analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.

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

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What does a bank data analyst do for a bank?

A bank data analyst collects, processes, and analyzes financial data to identify trends, improve decision-making, and support risk management. They use tools like SQL, Excel, and data visualization software to interpret large datasets and provide insights to enhance banking operations and compliance.

What are popular job titles related to Bank Data Analytics jobs in Grapevine, TX?

For Bank Data Analytics jobs in Grapevine, TX, the most frequently searched job titles are:

What job categories do people searching Bank Data Analytics jobs in Grapevine, TX look for?

The top searched job categories for Bank Data Analytics jobs in Grapevine, TX are:

What cities near Grapevine, TX are hiring for Bank Data Analytics jobs?

Cities near Grapevine, TX with the most Bank Data Analytics job openings:

Bank Data Analytics jobs near you

Data Engineer - F2F Interview

MM International

Plano, TX • On-site

$109K - $131K/yr

Contractor

Re-posted 11 days ago

Job description

Role: Data Engineer/SQL/Python OR Java/Banking or FIS

Required Location: ONSITE PLANO, TX – FIVE DAYS A WEEK 

Interview Required: Video & Onsite final

Job Description:


Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorgan Chase within the Commercial & Investment Bank - Data Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. You will apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning.
Job Responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
  • Updates logical or physical data models based on new use cases
  • Innovate new ways of managing, transforming and validating data
  • Apply quality assurance best practices to all work products
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Adds to team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

  • Formal training or certification on data engineering disciplines and 3+ years applied experience
  • Experience across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL database platforms and writing efficient SQL's
  • Knowledge of application, data and infrastructure architecture disciplines
  • Solid experience in Big Data technologies; (Spark, Impala, Hive, Redshift, Kafka, etc.)
  • Skilled in Java and Python development - MUST 
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Preferred Qualifications, Capabilities, And Skills

  • Experience with data analytics/data management processes on AWS
  • Financial Services and Commercial and Investment Banking experience
  • Familiarity with DynamoDB and/or Cassandra