IT Data Analyst

Zions Bank • Midvale, UT

135d

About The Position

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues with the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are seeking an IT Data Analyst to join Zions Bancorporation's Fraud Engineering team. This team is at the forefront of designing and implementing data-driven solutions to detect, prevent, and mitigate fraud across the enterprise. As part of this innovative group, the IT Data Analyst plays a key role in acquiring, transforming, and positioning data to support operational, managerial, and analytical reporting—especially in the context of fraud detection and risk analytics. This multifaceted role involves acting as a Data Analyst, System Analyst, and Business Analyst across various projects. The ideal candidate will work closely with fraud engineers, data scientists, and operational analysts to build scalable data pipelines, support real-time monitoring, and contribute to the development of advanced fraud models.

Requirements

• In-depth knowledge of the banking industry, loan and deposit systems, regulatory reporting requirements, or experience with data warehouses, data lakes, and common data models.
• Proficiency in programming and scripting languages (SQL, Python, PySpark).
• Strong troubleshooting skills.
• Excellent analytical, organizational, and problem-solving skills.
• Ability to estimate scope and schedule and commit to deadlines.
• Effective presentation and communication skills.
• Ability to work collaboratively with management, peers, and technical staff.
• Bachelor's degree in information systems, Data Analytics, Data Management, or related field, or equivalent experience.
• 4+ years' experience in data analysis, operations support, software development, project management, or related fields, with a strong focus on fraud detection technologies and data-driven risk mitigation.
• A combination of education and experience may meet requirements.
• Hands-on experience with cloud-based data warehousing and analytics platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse), as well as big data ecosystems including data lakes and Databricks.

Nice To Haves

• Familiarity with fraud analytics, anomaly detection models, and real-time data processing frameworks (e.g., Apache Spark, Kafka) is highly desirable.
• Experience in the financial services industry, particularly in fraud prevention, transaction monitoring, or compliance analytics, is a strong plus.

Responsibilities

• Work within a SAFe Agile team to build and maintain a Continuous Delivery Data Pipeline.
• Take ownership of the SDLC process, managing work quality and quantity through frequent releases, and closely coordinate with data engineers, modelers, product owners, and other information analysts.
• Analyze and map system data into the operational or integrated data warehouse or big data platform to meet reporting and analytical business needs.
• Test and validate data attributes based on source data and results from other systems to ensure accuracy.
• Create and maintain clear, detailed, and accurate metadata documentation for data integration processes and data flows.
• Stay updated with the latest trends and best practices in data integration and data warehousing.
• Lead small projects and teams to develop solutions for our customers, working with the modeling and architecture team and business analysts across multiple departments.
• Perform other duties as assigned.

Benefits

• Medical, Dental and Vision Insurance - START DAY ONE!
• Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
• Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
• Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
• 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
• Mental health benefits including coaching and therapy sessions
• Tuition Reimbursement for qualifying employees
• Employee Ambassador preferred banking products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree