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Washington Federal Data Systems Analyst - Senior in Seattle, Washington

Data Systems Analyst - Senior Location : Location US-WA-Seattle Location : Address 425 Pike Street Location : City Seattle Location : State/Province WA ID 2024-3085 Category Technology Position Type Full Time Min USD $100,000.00/Yr. Max USD $140,000.00/Yr. Min USD $100,000.00/Yr. Max USD $140,000.00/Yr. Job Summary As a Senior Data Systems Analyst, you will play a critical role in ensuring the integrity, availability, and usability of our organization's data assets. You will be responsible for analyzing data, identifying opportunities for optimization and improvement, and implementing solutions to enhance data quality, efficiency, and reliability. Working closely with business units and cross-functional teams, you will collaborate to design, develop, and maintain data models, reports, and dashboards that support business objectives and enable data-driven decision-making. Along with the key functions listed below, you will be expected to uphold the value that WaFd Bank places on simply being kind when working alongside colleagues and servicing our clients. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: 1. Data Analysis Collaborate with business stakeholders and other analysts to gather, process, and analyze data that supports decision-making. This includes creating reports, dashboards, and data visualizations that provide insights into business performance, trends, and opportunities for improvement. 2. Data Modeling Work collaboratively and independently to design and implement data models, database objects, including tables, views, and schemas, to support the analytical needs of the business. Assist in the development of the structure of data warehouses, data marts, and other repositories. 3. Data Quality and Governance Develop and implement strategies and tactics to enhance data quality, accuracy, completeness, and consistency across multiple data sources and systems. Assist business units in understanding data governance and make recommendations to improve organization-wide data quality and consistency. 4. Data Ingestion Assist with and/or lead projects involving the design of data pipelines, ETL-related activities, and the migration or conversion of data into data repositories. This includes partnering with data engineers and may include design and support of data flows. 5. Documentation and Procedures Create and manage documentation and appropriate procedures necessary to enforce standards, communicate best practices, define roles and responsibilities, and sustain ongoing operations. Define and promote effective documentation best practices internally and externally. 6. Security / Compliance Adhere to all applicable laws and regulations. Maintain a working knowledge of security threats, laws, and policy for data privacy and protection; take steps to protect organizational data from accidental or unauthorized damage, modification, or disclosure; assist with security and access management. 7. Technical Support and Guidance Provide technical support and guidance to end-users, analysts, and stakeholders on data-related matters, tools, and technologies. Troubleshoot issues related to data and data systems. Monitor data systems. 8. Continuous Improvement Stay current with related regulations, best practices, tools, and new technologies; participate in educational opportunities; read professional publications; maintain personal and professional networks; participate in professional organizations. Use new knowledge and ideas to continuously improve operational efficiencies, procedures, and strategy. 9. Team Player Commit to a collaborative m

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