Manager – Data and Analytics
Company | WSECU |
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Location | Seattle, WA, USA, Olympia, WA, USA |
Salary | $133499.93 – $200249.89 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Seven (7) years or more of experience in data analytics or business intelligence, including two (2) years or more in leadership or supervisory role.
- Bachelor’s degree in Data Science, Business Analytics, Information Systems, or a related field (or similar work experience)
- Familiarity with modern data stack technologies (e.g., Snowflake, dbt, Azure, AWS)
- Understanding of data governance, data warehousing, and ETL/ELT processes
- Experience working with Marketing and Product lines of business
- Advanced analytical capabilities; detail-oriented and comfortable working with numbers
- Strong business acumen and ability to translate data into strategic insights
- Strong project management and organizational skills; must be able to manage competing demands and priorities
- Proven ability to lead and inspire technical teams
- Strong command of SQL, data modeling, and dashboarding tools (e.g., Power BI, Tableau)
Responsibilities
- Translating business needs into data solutions, ensuring timely and accurate delivery.
- Ensuring Data and Analytics deliverables are managed and prioritized effectively to drive value back to strategic objectives stated in the WSECU business plan.
- Supporting data quality initiatives, ensuring opportunities in accuracy, consistency, and understandability are understood and addressed as required.
- Directing the work efforts of Data and Analytics vendors to confirm value is being returned in alignment with contractual expectations.
- Developing & communicating data insights & recommendations in a clear & concise manner (i.e., data driven change management)
- Providing expertise on mathematical concepts for the broader applied Analytics and Insights team and inspiring the adoption of advanced analytics and data science across the entire breadth of our organization
- Analyzing and understanding Artificial Intelligence and how it can be leveraged not only within Data and Analytics, but also organizationally
Preferred Qualifications
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No preferred qualifications provided.