At Gesa, we believe in the power of our people. Coming from all walks of life, our team members’ individual stories and unique experiences are our most valuable asset. But it’s how we come together, igniting our collective compassion and commitment to empowering our communities, that makes us succeed. Because we know we go further when we go together.
Here you can join a team who is passionate about serving others, has a desire to do good, and shares a deep love of people. You can engage in meaningful work that impacts your community. You can challenge yourself and grow in your career. And, you can rest assured that your wellbeing and prosperity are our priority.
Get to know us: About - Gesa Credit Union
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. Serving as a senior leader and trusted advisor, the role ensures analytics solutions align with business priorities, meet governance standards, and deliver high-quality, actionable insights. The position will provide leadership to Data Analysts, establish enterprise analytics standards and best practices, and partner 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.
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 where appropriate, 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
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
Leaders at Gesa Credit Union are lifelong learners who, by developing themselves, are better able to grow our team members and our organization as well as serve as influential role models for each other. We believe that every team leader, no matter their position or years of experience, must model and continue to strengthen these competencies which are foundational to our view of leadership and support the achievement of our strategic goals.
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
In exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:
Medical, Dental, Vision, and Life Insurance
20 days/year of Paid Time Off – Plus 10 Paid Holidays!
Tuition Assistance and Student Loan Repayment
Paid Time Off to Volunteer in the Community
Engaging Work Environment
Rewards and Recognition Programs
Richland, WA: $118,697.69-$197,829.49
Spokane, WA: $118,697.69-$197,829.49
Renton, WA: $143,516.30- $239,193.84
- While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. This approach gives room to grow within the role as your career progresses with us!"
Get wise to what’s possible with a career at Gesa. Join us!
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. Please contact the HR Department at (509) 378-3100 or
[email protected] to request an accommodation.
Gesa Credit Union reserves the right to revise or change the job description as the need arises. This job description is not all inclusive of total job responsibilities nor does it constitute a written or implied contract of employment.
Selected candidate(s) must be able to pass a pre-employment credit/background check.
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.
Equal Employment Opportunity (gesa.com)
