Senior Data Analytics Manager

6 days ago

Seattle, Washington, United States WaFd Bank Full time
About the Role

We are seeking a highly skilled Senior Data Analytics Manager to join our Enterprise Data Department at WaFd Bank. As a key member of our team, you will be responsible for leading and mentoring a dedicated team of data professionals, driving the expansion of WaFd's data literacy, and delivering data and analytical insights that inform and shape the bank's business decisions and strategies.

Key Responsibilities
  • Lead and mentor a team of data professionals, fostering a collaborative and high-performance culture with excellent customer service in alignment with WaFd's values.
  • Work with stakeholders to set goals, balance priorities, and focus the team on high-value work.
  • Provide hands-on guidance, performance assessments, and professional development opportunities for the team.
  • Utilize advanced analytics techniques, including statistical modeling, AI/ML, and predictive analytics, to translate complex data into actionable business insights and present findings to senior management and stakeholders.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and measure the impact of business strategies.
  • Partner with data engineers to move data from source systems into data repositories and model it for use by the business.
  • Collaborate with cross-functional teams, including marketing, finance, operations, and commercial and retail banking to understand their data needs, deliver solutions, and support them.
  • Develop and implement strategies and tactics to enhance and validate data quality, integrity, and consistency across multiple data sources and systems.
  • Create and manage documentation and appropriate procedures necessary to enforce standards, communicate best practices, define roles and responsibilities, and sustain ongoing operations.
  • Adhere to all applicable laws and regulations, maintain a working knowledge of security threats, laws, and policy for data privacy and protection in the complex regulatory environment of financial institutions.
Requirements
  • Bachelor's degree (B.A.) in computer science, data science, software engineering, information systems, related quantitative field, or equivalent experience and/or training.
  • A minimum of 6 years of experience in database development, maintenance, and application interface or equivalent demonstrated performance and expertise.
  • A minimum of 2 years in a managerial role leading technical teams.
  • Strong understanding of data management principles, data governance practices, and data modeling concepts.
  • Highly proficient in SQL, SQL-based languages (e.g., T-SQL, PL/SQL), and coding languages (e.g., Python, Java).
  • Experience with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse), and object-oriented data platforms (e.g., NoSQL, Hadoop, MongoDB).
  • Experience with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend).
  • Familiarity with data visualization and analytics tools (e.g., Power BI, Tableau) is a plus.
  • Strong communication, collaboration, and stakeholder management skills.
  • Experience in fintech or a financial institution is a significant advantage.
What We Offer
  • Paid time off for vacation, sick days, and holidays.
  • Health insurance.
  • Stock options.
  • Bonus programs.
  • Generous 7% 401(k) employer matching.
  • Paid Parental Leave.
  • Life and AD&D insurance.
  • Long-term disability.
  • Tuition Reimbursement.
  • Employee assistance programs.
  • Pre-tax health and dependent-care spending plans.

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