Operations Continuous Improvement - Sr Data Solutions Analyst

Golden 1 Talent Acquisition Team•Sacramento, CA
•$93,750 - $95,000•Hybrid

About The Position

The Sr Data Solutions Analyst works in Golden 1 Credit Union’s Operations Continuous Improvement department and reports to the Senior Manager - Operations, Analytics and Enablement. The role uses data warehousing, business intelligence, and operational analytics to produce actionable insights, improve efficiency, support business decisions, and enhance the member experience. The analyst develops and automates analytics outputs, creates productivity metrics and capacity models, supports analytical and statistical modeling, and builds trusted working relationships across teams. The role also supports data governance and collaborates with IT and Data Warehouse teams throughout the ETL process.

Requirements

  • At least 5 years of hands-on experience, or demonstrable equivalent attitude, aptitude, and technical capability; the posting also includes the notation “MS 3-6.”

Nice To Haves

  • Bachelor’s degree in a related data-centric field such as mathematics, computer science, or statistics.

Responsibilities

  • Demonstrate mastery of big data and KPIs while upholding Golden 1’s commitment to service excellence.
  • Produce reliable, efficient, independent, and trustworthy analytics outputs.
  • Apply data programming languages, data-mining strategies, modeling approaches, or machine-learning processes to support Golden 1’s data culture.
  • Automate and streamline work using tools such as Power BI, R scripting, and Power Automate.
  • Produce department-level productivity metrics and capacity models to monitor and forecast people and processes.
  • Access and understand additional source-data repositories and domain information to supplement the Enterprise Data Warehouse.
  • Support and develop analytical or statistical models and scenario-building to inform business decisions.
  • Build cross-functional relationships and identify opportunities to improve people, processes, and technology.
  • Apply data-validation concepts across and within systems to strengthen analytical credibility.
  • Identify business issues and uncover additional quantitative patterns and data relationships that can inform business intelligence.
  • Write, maintain, and deploy custom T-SQL scripts, primarily using Microsoft SSMS.
  • Develop and curate custom datasets for Power BI visualizations suited to audiences across the organization.
  • Promote data-governance standards and partner with IT and Data Warehouse teams to provide research and support throughout the ETL process.

Benefits

  • Market-competitive and internally equitable total rewards compensation package.
  • Comprehensive compensation package.
  • Well-being and work-life balance programs.
  • Career development and growth.
  • Rewards and recognition.
  • Commitment to diversity, equity, and inclusion.
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