Analytics and Risk - Sr Analyst II - Consumer Lending

Golden 1 Talent Acquisition Team•Sacramento, CA

3d•Hybrid

About The Position

The Senior Analyst II provides advanced analytical support to business partners across Golden 1 Credit Union. This role works closely with cross‑functional teams and leadership to transform complex data into actionable insights that enhance products, services, and business processes. As a senior‑level individual contributor, the Senior Analyst II plays a key role in supporting strategic decision‑making by gathering, preparing, and analyzing data to identify trends, uncover patterns, and deliver data‑driven recommendations that inform enterprise priorities. This position partners with leadership and other analysts on highly complex analyses that directly impact corporate strategy. The Senior Analyst II is expected to operate as a thought leader within the analytics function, serving as a subject‑matter and technical expert for both the analytics team and business partners. Success in this role requires strong critical thinking, clear communication, and advanced technical skills. You translate complex and disparate data into clear, actionable insights that inform strategic and operational decision making across the Credit Union. You are senior level analytics thought leader and technical expert who partners effectively with leadership and cross functional teams to deliver high impact, data driven solutions. You apply strong critical thinking, advanced analytical skills, and clear communication to lead complex analytics initiatives, mentor others, and drive continuous improvement through scalable data solutions.

Requirements

Bachelor’s degree in a quantitative or analytical field (e.g., Accounting, Mathematics, Business Administration, Information Technology, or similar). Equivalent relevant experience may be substituted in lieu of a degree.
10+ years of analytical experience.
Demonstrated proficiency in data architecture, data warehousing, and business intelligence.
Knowledge of commonly used concepts, practices, and procedures within credit union operations
Microsoft Excel (advanced formulas/functions, pivot tables, dashboard creation, data connections, and automation/macros)
Microsoft Office Suite
VBA coding to support task automation

Nice To Haves

SQL programming (select statements, Joins, aggregations, temp tables, complex querying)
SAS Enterprise Guide (data manipulation, transformation, aggregation; basic SAS programming)
Python and/or R (quantitative analysis and modeling)
Power BI and/or Tableau (building visuals and datasets, complex reporting)
Machine learning and data modeling

Responsibilities

Lead end‑to‑end analytics initiatives by scoping work, triaging incoming analytic requests, and delivering scalable data and analytical solutions.
Partner with cross‑functional stakeholders (e.g., product managers, data engineers, analysts) to design and execute experiments, pilots, and minimum viable products (MVPs) based on defined business use cases.
Translate complex, disparate, and raw data into clear data stories that enable evidence‑based decision‑making across the Credit Union.
Develop robust executive‑level visualizations and dashboards to communicate trends, performance, risks, and opportunities.
Proactively assess business needs and recommend research and analytics projects that deliver measurable value and strategic insight.
Prepare and deliver recurring and ad hoc reporting—including analysis and presentations—for management decision support, committee review, and enterprise information requests.
Maintain strong quality controls by reviewing and supporting sign‑off of reporting and analyses prior to release to business partners.
Establish and institutionalize analytics best practices (methods, documentation, standards, and repeatable processes) to improve consistency and scalability across the organization.
Mentor and coach junior analysts by strengthening technical capability, analytical problem‑solving, and business acumen; provide guidance on analytics standards and best practices.
Monitor and maintain awareness of the current and emerging economic landscape and internal/external factors that may influence performance, risk, and strategic priorities.
Ensure work products and processes comply with applicable standards, policies, regulations, and systems of internal control.