Data Analytics Engineer

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 the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are seeking a Data Analytics Engineer to join Zions Bancorporation. Data Analytics Engineers help us acquire and process data from Enterprise Data Warehouse, Data Lake, and other data repositories and position it to support financial or analytical reporting. This role wears multiple hats acting as Data Analyst, Data Engineer, and Business Analyst in different projects. This Data Analytics Engineer is expected to become a SME in banking information in partnership with the Financial Analysts and other database specialists.

Responsibilities

• Architect, design and orchestrate data systems, processes, and automation that support financial data analytics including Incentive Compensation Program (ICP), Enterprise Performance Management (EPM) etc.
• Work closely with financial product owners to gather data requirements; align their needs with source data capabilities; build custom framework and data architect or upgrade existing data processes.
• Investigate various sources such as Enterprise Data Warehouse and Data Lake, analyze, map and transform the data to troubleshoot and research financial data issues.
• Test, validate, and reconcile data attributes based both on source data and results from financial reports to assure the data accurately reflects the source system and business needs.
• Mentor financial analysts and operation analysts to explain data, data scope, impact of data changes to help them drive their analytics and reporting.
• Create and maintain clear, detailed, and accurate metadata documentation.
• Conduct tests or test planning sessions, provide input for feasibility and prepare user documentation and follow-up evaluations.

Requirements

• Very strong SQL background.
• Experience with creating business intelligence solutions (SAP Business Object Reports, Power BI).
• Hands-on experience with Python or PySpark including data processing, analysis, and ETL pipeline development.
• Strong analytical, troubleshooting and problem-solving skills.
• Ability and desire to learn new technologies quickly.
• Ability to work independently and collaborate with others at all levels of technical expertise.
• Strong organizational, presentation, interpersonal and communication skills, both verbal and written.
• Requires a Bachelor's degree in Information Systems, Data Analytics, Economics, Mathematics, Statistics, or other technical discipline. Masters preferred.
• 4+ years' experience in data analytics/data engineering. A combination of education and experience may meet requirements.
• Must be able to meet deadlines.
• Positive attitude, team player.

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