Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is seeking an IT Data Analyst to join their Fraud Engineering team to design and implement data-driven solutions to detect, prevent, and mitigate fraud across the enterprise.
Requirements
- Proficiency in programming and scripting languages (SQL, Python, PySpark).
- 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.
- 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.
- Strong troubleshooting skills.
- Excellent analytical, organizational, and problem-solving skills.
- Ability to estimate scope and schedule and commit to deadlines.
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.
Other
- Ability to work collaboratively with management, peers, and technical staff.
- Effective presentation and communication skills.
- 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.
- Experience in the financial services industry, particularly in fraud prevention, transaction monitoring, or compliance analytics, is a strong plus.
- This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047
