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Bank Data Analytics Jobs in Utah (NOW HIRING)

Sunwest Bank

Data Engineer

Draper, UT

$107K - $128K/yr

N/A About the Role The Data Engineer designs, builds, and optimizes Sunwest Bank's Azure‑based data infrastructure to support advanced analytics, AI‑driven workflows, and enterprise reporting.

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

N/A About the Role The Data Engineer designs, builds, and optimizes Sunwest Bank's Azure-based data infrastructure to support advanced analytics, AI-driven workflows, and enterprise reporting. This ...

Trimlight Inc.

Accounting Clerk

West Jordan, UT · Hybrid

$20 - $25/hr

... reporting/analysis -- with room to focus on the areas that interest you most. You'll also work ... Match daily bank data and reconcile incoming deposits (Paystand/Versapay, Housecall Pro, and others)

Cardworks

Manager, Data Science & Modeling

South Jordan, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions. Data Science is a technical discipline requiring strong skills in ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry. Essential ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry. Essential ...

Extra Space

Sr. Treasury Analyst

Salt Lake City, UT

Analyze banking data and research banking relationships * Develop and implement internal control policies and procedures * Review processes and recommend improvements Qualifications * Bachelor ...

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Showing results 21-40

All JobsBank Data Analytics JobsBank Data Analytics Jobs in Utah

Bank Data Analytics information

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 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.

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 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 are popular job titles related to Bank Data Analytics jobs in Utah?

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

What job categories do people searching Bank Data Analytics jobs in Utah look for?

The top searched job categories for Bank Data Analytics jobs in Utah are:

What cities in Utah are hiring for Bank Data Analytics jobs?

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

Bank Data Analytics jobs near you

Data Engineer

Sunwest Bank

Draper, UT

$107K - $128K/yr

Full-time

Posted 26 days ago

Job description

Job Title: Data Engineer
Reports to: N/A
About the Role
The Data Engineer designs, builds, and optimizes Sunwest Bank’s Azure‑based data infrastructure to support advanced analytics, AI‑driven workflows, and enterprise reporting. This role focuses on developing secure, scalable, and high‑performance data pipelines across Microsoft Azure services, including Blob Storage, Microsoft Fabric, and OneLake. The Data Engineer plays a critical role in enabling AI‑powered document processing by orchestrating ingestion, tagging, extraction, and integration of structured and unstructured data.
Work Details
Schedule: Monday – Friday
Work Location: Onsite
Travel: None
What You’ll Do
  • Design and optimize Sunwest Bank’s enterprise data architecture using Microsoft Azure technologies.
  • Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake.
  • Develop orchestration engines to manage document ingestion, tagging, chunking, and processing workflows.
  • Implement automated data‑extraction pipelines to derive structured insights from documents.
  • Integrate AI/ML services with databases to combine extracted document insights with operational and enterprise data.
  • Ensure data pipelines are secure, efficient, resilient, and optimized for AI‑driven applications.
  • Support enterprise analytics and reporting initiatives through well‑structured data models and lakehouse architecture.
What We’re Looking For
(Required)
  • 5–10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes.
  • Hands‑on experience with Microsoft Azure services, particularly Blob Storage, Microsoft Fabric, and OneLake (or similar lakehouse platforms).
  • Strong development skills using Python, PySpark, and SQL.
  • Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark.
  • Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for document processing and insight extraction.
  • Strong knowledge of relational and NoSQL databases, including schema design and performance optimization.
(Nice to Have)
  • Direct experience with Microsoft Fabric and OneLake; familiarity with Azure Synapse or Snowflake is beneficial.
  • Background in unstructured document processing (PDFs, images, text) using OCR and text‑extraction tools.
  • Understanding of NLP or AI/ML techniques for document classification and entity extraction.
  • Experience with data governance, metadata management, and security controls—particularly in regulated environments.
  • Comfort collaborating with data scientists and engineers to deploy AI models; familiarity with Agile methodologies and version control tools.
Why You’ll Love Working Here
  • Team Culture
  • Growth Opportunities
  • Benefits or Perks
Physical Demands:
In general, the following physical demands 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 allow differently abled individuals to perform the essential functions of the job.
☐Sedentary: Limited activity, no lifting, limited walking
☐Moderate: Mostly standing, walking, bending, frequent lifting
☐Light: Office work, some lifting, bending, stooping or kneeling, walking
☐Arduous: Heavy lifting, bending, crawling, climbing
The Fine Print
This job description reflects the general nature of the role and may change as business needs evolve. We are an equal opportunity employer. Sunwest Bank works with staff members and customers without regard to race, ancestry, national origin, sex, marital status, age, religion, medical condition, handicap, disability or veteran status and to assist the Bank in maintaining its Affirmative Action Program.
Compliance with Bank Secrecy Act laws and regulations is considered an extremely serious matter, and it is intended that Sunwest Bank, through the purposeful efforts of its employees and officers, are expected to make every resolute attempt to conform to its Bank Secrecy Act Program and Procedures. Failure to comply will be reflected in their performance review as well as in any bonus compensation programs in which they may participate.
Attend and complete all required classroom, computer-based, web-based and seminar training. It is the individual responsibility of every employee to maintain a current awareness and understanding of and to fully comply with Sunwest Bank’s “Code of Ethics and Conduct.” Each employee is also expected to maintain an awareness of the laws, regulations, internal policies and procedures that are appropriate for his/her position.
Note: The preceding job description has been designed to indicate the general nature and level and work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All job descriptions can be amended without notice as warranted by business necessity.
Federal Deposit Insurance Act This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on Sunwest Bank’s review of criminal conviction history, including pretrial diversions or program entries.

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