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Manager – Data and Analytics

Manager – Data and Analytics

CompanyWSECU
LocationSeattle, WA, USA, Olympia, WA, USA
Salary$133499.93 – $200249.89
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

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

    No preferred qualifications provided.