Analista de PLAFT at Financiera Oh! evaluating and managing financial crime risks. Assuring compliance with regulations and data analysis regarding high - risk clients.
About the role
- Sr. Analyst, Data Management at FNBO establishing enterprise-wide data standards and quality. Leading data initiatives while collaborating across business units and IT teams in Omaha, NE.
Responsibilities
- Lead the process to gather and maintain standard data definitions for each data element, conformed item, and calculated item available for use in the data environment.
- Coordinate with various departments to establish and maintain standard and consistent definitions.
- Coordinate with IT teams to ensure alignment of data definitions across the enterprise and their establishment as available fields in the data environment.
- Lead the process to identify, prioritize, and complete data quality improvement initiatives to ensure high quality, accurate data is available for use in the data environment.
- Participate in profiling data from various sources to identify and understand current-state data quality.
- Manage and coordinate data quality improvement efforts from source system inputs to final presentation through the data warehouse.
- Participate in enterprise data quality discussions and initiatives to ensure alignment across the bank.
- Lead the process to identify and define master records for key business entities necessary to First National Bank.
- Facilitate the data mastering/golden data record process for key entities.
- Participate in defining master data and aligning IT and business units around the mastered data.
- Participate in presenting and making available master record data for operational use, analytical use, and in decision-making.
- Identify key performance indicators, as defined by senior management and key stakeholders to ensure alignment with other business units.
- Participate in projects to ensure data considerations are included in new implementations and modifications.
- Establish or improve extract, transform, and load (ETL) processes.
- Create query scripts for creation and improvement of semantic layer datasets to feed reporting systems
Requirements
- Bachelor's degree in a science, technology, engineering, or mathematics discipline, or 5+ years of relevant data management experience
- Minimum of 5 years' experience using SQL and Python to query, extract, manipulate, and analyze large datasets
- Experience with data governance tools and practices including Data Catalog, Data Glossary, Sensitivity Tagging, Data Quality, Data Marts, etc.
- Strong knowledge of data analysis and reporting tools (Snowflake UI, SQL Server Management Studio, Visual Studio, SQL Server Data Tools, Power BI, etc.)
- Strong analytical, communication, and interpersonal skills with the ability to lead presentations and build consensus between business and IT teams
- Ability to prioritize, multi-task, and work independently in a fast-paced environment
- Comfort with Generative AI capabilities and integration into data management and governance practices
Benefits
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Time Off Programs
- Health Savings Account (HSA)/Dependent Care
- Employee Banking
- Growth Opportunities
- Tuition Assistance
- Short-Term/Long-Term Disability Insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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