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Bank Data Analytics Jobs in Utah (NOW HIRING)

Proficiency in reporting and analytical tools utilized by the Bank's fraud team and Data Office Work Location Lehi We are currently working a hybrid schedule and our teams are in-office Tuesdays ...

Director, Data Science

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... analytical roles. * Experience within Financial Services, Consumer Lending, Credit Cards, Banking ...

Regulatory Compliance Analyst

Ogden, UT

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Regulatory Compliance Analyst will perform compliance monitoring and testing, evaluate results ... of data • Basic knowledge of bank services, policies, and procedures • Working knowledge ...

Regulatory Compliance Analyst

Ogden, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Regulatory Compliance Analyst will perform compliance monitoring and testing, evaluate results ... of data • Basic knowledge of bank services, policies, and procedures • Working knowledge ...

The role involves collaborating with stakeholders to analyze datasets, extract insights, and develop data-driven solutions to enhance banking products and services. Responsibilities : • Applies ...

Data Scientist I

Holladay, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct effective customer trials to grow our open banking impact, supporting data specification, data processing/analysis and result generation/presentation. 5.Be highly proactive in pursuit of ...

Showing results 41-60

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 cities in Utah are hiring for Bank Data Analytics jobs?

Cities in Utah with the most Bank Data Analytics job openings:

Commercial Banking Underwriter - Assistant Relationship Manager

Northwest Bank

Cottonwood Heights, UT

Full-time

Posted 18 days ago


Job description

Description

Job Overview

The ARM supports Relationship Managers (RMs) in managing client relationships and credit workflow. The ARM conducts credit analyses including gathering, analyzing, and interpreting all types of credit information on existing and prospective customers and portfolios. The ARM provides timely, accurate financial analysis and makes recommendations regarding the extension of credit (via credit memos); develops key discussion points and questions to assist in analyzing loan opportunities; works with RMs, Loan Coordinator and customers to close loans and/or assist in monitoring and administering the loan portfolio in accordance with loan approval as necessary / requested..

Requirements

Essential Duties & Responsibilities

  • Perform assigned duties in accordance with the Bank's Mission, Vision and Core Values; and provide the Bank's customers with timely, responsive and exceptional service in accordance with the Bank's customer service standards.
  • Adhere to defined Service Level Agreements, both internal and external.
  • Investigate, interpret and analyze credit reports.
  • Spread and analyze financial statements and information to evaluate existing and projected company cash flow.
  • Work with Loan Coordinator to order all necessary reports (UCC lien searches, title, insurance, appraisals / evaluations, environmental, flood, etc.)
  • Review all necessary reports, including title, independent appraisal and collateral exam.
  • Develop list of key information necessary to support the loan approval process.
  • Prepare detailed Credit Memorandums with defined Credit Quality Expectations and within Credit policies and procedures for review and approval.
  • Make underwriting recommendations to the Relationship Manager, Market President, and Credit Administration, as appropriate.
  • Assist in monitoring loans through timely collection of financial information / tickler management.
  • Assist in the creation and maintenance of customer files within defined bank standards.
  • Review financial information for loan compliance to maximize credit quality and minimize risk and potential loss.
  • Assist RM and Loan Coordinator with maintaining current financial information consistent with loan approval and ensure maintenance of the credit file.
  • Serve as an important part of the Relationship Management team.
  • As requested by RM, attend customer meetings and take notes to assist in underwriting and evaluating risk.
  • As requested by RM, work with loan applicants to ensure loan packages are complete.
  • Participate in Credit Trainings to remain current on standards and expectations.
  • As requested by RM, assist in the preparation of Preflights and LOI's.
  • Review portfolio reports to be informed of workflow, maturing loans (early identification of need for loan extensions), covenant compliance, etc.
  • Analyze/recommend line draws (via Borrowing Base Certificates, Construction Draws, etc.) as requested by RM.
  •  Support collection of past due accounts as requested by RM.
  • Assist with customer calls and marketing efforts as requested.
  • Maintain knowledge of and compliance with banking regulations.
  • Be knowledgeable of and able to promote all bank products and services.
  • Perform other duties as assigned.


Required Qualifications:

  • Bachelor's degree in Business, Finance, or related area; or equivalent work experience.
  • 1 year of experience in credit analysis and/or lending activities.


Preferred Qualifications: 

  • Developed credit analysis and analytical skills.
  • Thorough understanding of business cash flow and differing legal business structures.
  • Good knowledge of economics, accounting, and finance.
  • Basic knowledge of risk analysis.
  • Thorough knowledge of lending policies and procedures preferred.
  • Proficient computer skills with collaboration and productivity tools including Windows-based operating systems and office suites (Microsoft Word, Outlook, Excel, PowerPoint); spreadsheet applications to organize data used for advanced data analysis; internet; email; and bank software.
  • Experience with financial analysis software such as Moodys and Bukers.
  • Effective oral and written communication and time management skills.


Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, and ability to adjust focus. While performing the duties of this job, the employee is regularly required to sit; use hands and talk or hear. The employee is occasionally required to walk; reach with hands and arms and stoop, kneel, crouch, or crawl.