Analytics and Data Solutions Manager/Team Leader

Role Summary Under the general supervision of the VP of Business Intelligence, the Analytics and Data Solutions Manager/Team Leader will lead enterprise analytics strategy, delivery, and capability development to drive data‑informed decision making across Gesa Credit Union. The role ensures analytics solutions align with business priorities, meet governance standards, and deliver high‑quality, actionable insights. The position provides leadership to Data Analysts, establishes enterprise analytics standards and best practices, and partners with Data Governance and IT to ensure trusted data foundations. Additionally, the role advances strategic initiatives in analytics, AI, and machine learning to enhance decision‑making, manage risk, and improve business performance. What You Will Be Doing Lead and oversee enterprise analytics and data solutions initiatives to support strategic and operational decision‑making across the credit union Provide direct leadership, coaching, and performance management for the Data Analyst team Establish clear expectations for analytics delivery that extend beyond dashboard development to include exploratory, diagnostic, and trend‑based analysis Guide and mentor analysts in applying appropriate analytical techniques, including basic statistical analysis, to better understand drivers, patterns, and outcomes Ensure analytics deliverables clearly communicate insights, implications, and recommended actions, not just metrics or visualizations Drive data science initiatives by leveraging artificial intelligence (AI) and machine learning (ML) technologies to predict trends, evaluate risks, and optimize business processes across the organization Partner with business leaders to identify, prioritize, and deliver analytics solutions that address key organizational challenges and opportunities Collaborate with Data Intelligence, Data Engineering, Data Governance, and IT teams to ensure analytics solutions are built on reliable, secure, and governed data assets Temporarily align analysts from business units under centralized analytics leadership, as needed, to accelerate skill development, consistency, and analytical maturity Define readiness criteria and standards for transitioning analysts back to business units while preserving enterprise analytics practices Support the responsible use of advanced analytics, including statistical and exploratory methods, in alignment with business readiness and regulatory expectations Promote data literacy and a culture of informed, evidence‑based decision‑making across the organization Represent the Data Intelligence organization in cross‑functional initiatives, projects, and committees as assigned About You Strong leadership and people‑management skills, with the ability to develop and motivate analytics professionals Demonstrated ability to move analytics teams beyond reporting toward meaningful analysis and insight generation Strong understanding of analytics, business intelligence, and decision‑making support practices in regulated environments Familiarity with end‑to‑end business process mapping and P&L financial models, supporting the translation of analytics into operational and financial insight Ability to translate complex data and analysis into clear, actionable insights for technical and non‑technical audiences Working knowledge of modern analytics and data platforms, including cloud‑based analytics ecosystems and visualization tools Proficiency in data analysis tools (SQL, Python, R), data visualization platforms (Tableau, Power BI), and cloud data solutions (Azure Databricks) Understanding of analytical techniques such as trend analysis, segmentation, and basic statistical methods Strong business acumen, with the ability to connect analytics insights to operational performance and strategic objectives Excellent communication, presentation, and stakeholder‑management skills Strong analytical thinking, problem‑solving, and prioritization abilities Commitment to data quality, governance, and continuous improvement Leadership Core Competencies Leading Others Developing Others Emotional Intelligence Social Responsibility Performance & Results Orientation Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field required; advanced degree preferred Five (5) to eight (8) or more years of experience in analytics, business intelligence, or solutions development supporting business decision‑making required One (1) to three (3) or more years of experience leading, mentoring, or managing a team of analysts or analytics professionals required Demonstrated experience partnering with business stakeholders to deliver analytics solutions that drive measurable outcomes Experience working in financial services or other regulated environments preferred Benefits Competitive Pay Medical, Dental, Vision, and Life Insurance 20 days/year of Paid Time Off – Plus 10 Paid Holidays 401(k) Match Incentive Program Tuition Assistance and Student Loan Repayment Commuter Benefits Paid Time Off to Volunteer in the Community Product discounts Engaging Work Environment Rewards and Recognition Programs Salary Range Richland, WA: $118,697.69 – $197,829.49 Spokane, WA: $118,697.69 – $197,829.49 Renton, WA: $143,516.30 – $239,193.84 Most new team members typically start between the minimum and midpoint based on experience and qualifications. Our Commitment to Accessibility We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Equal Employment Opportunity Gesa Credit Union is an Equal Opportunity Employer and strong advocate of workforce diversity. Race/Color/Gender/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Veteran. #J-18808-Ljbffr Gesa Credit Union