IT Data Analyst

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. You will be expected to become a subject matter expert (SME) in banking information and fraud-related data domains, leveraging technologies such as data lakes, Databricks, and cloud-based analytics platforms.

The Data Analyst will:

• 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.

Qualifications:

• 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.
• 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.

Visa Sponsorship:

This position is currently not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.

Location:

This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus will be the company's primary technology and operations center. This modern and environmentally friendly technology center will enable Zions to continue to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

• Electric vehicle charging stations and proximity to Historic Gardner Village UTA TRAX station.
• At least 75% of the building is powered by on-site renewable solar energy.
• Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
• Large modern cafe with a healthy and diverse menu.
• Healthy indoor environment with ample natural light and fresh air.
• LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

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

Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.