Business Information Analyst

Zions Bancorporation•Midvale, UT

5d•Onsite

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 Business Information Analyst to join the CDI Hub team at Zions Bancorporation, supporting Zions' Customer Data ASOR. This Business Information Analyst will partner closely with data engineering, data modeling, architecture, and various business units to ensure customer data is consistent, accurate, and of high quality to meet advanced analytical and operational needs.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, or other related fields and 4+ yrs of proven experience in Business Information Analysis, Data Analysis, or similar field.
A combination of education and experience may meet requirements.
Experience in complex business & data analysis, data mapping, data models, and APIs.
Strong analytical, problem-solving, and troubleshooting skills with the ability to translate complex technical concepts to non-technical stakeholders.
Excellent communication skills with the ability to lead small projects and work effectively across multiple departments.

Nice To Haves

Strong understanding of Master Data Management (MDM) concepts, deduplication algorithms, and data governance standards is a plus.
Familiarity/expertise in IBM Infosphere MDM’s Probabilistic Matching Engine (PME) (or a similar function) is a plus, OR a strong commitment to undergo formal and on-the-job training to acquire these skills.

Responsibilities

Define business needs, functional and non-functional requirements, and process flows, providing visual illustrations of technical concepts and maintaining clear, accurate, and detailed documentation.
Translate business needs into technical specifications alongside data engineering, acting as a liaison for modern data architecture (APIs, data schemas, Kafka/MQ event streaming) to ensure seamless enterprise connectivity.
Perform deep-dive data analysis, source-to-target mapping, and utilize logical/physical data models, working closely with the modeling team to refine canonical data models.
Conduct tests or test planning sessions, provide input for feasibility, prepare user documentation, and follow-up evaluation.
Test and validate data attributes based on source data and results from other systems to ensure data accuracy.
Be the main point of contact for the deduplication functionality in CDI Hub.
Perform source system data profiling to establish baseline quality status, perform PME algorithm tuning, and conduct sample pair reviews.
Define and maintain Survivorship and Suspect Action Rules within the MDM ecosystem.
Occasionally lead small projects and/or teams to develop solutions for internal business units.