Home › Companies › E7A3819EACC22746FA78AB1D19A8ACB0 › Analytics and Data Solutions Manager/Team Leader
Analytics and Data Solutions Manager/Team Leader
E7A3819EACC22746FA78AB1D19A8ACB0 · South Richland HQ - Richland, WA 99352; Renton Oakesdale Ave SW - Renton, WA 98057; Spokane Valley East Sprague - Spokane Valley, WA 99212; 51 Gage Blvd, Richland, WA, 99352, USA · Active · $118,698–$239,194 / year · Paycom ATS
Job facts
| Field | Value |
|---|---|
| Company | E7A3819EACC22746FA78AB1D19A8ACB0 |
| Title | Analytics and Data Solutions Manager/Team Leader |
| Normalized title | - |
| Department / team | Risk Management |
| Location | Richland, WA, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | $118,698–$239,194 / year |
| Status | active |
| ATS provider | Paycom ATS |
| Posted / first seen | 2026-06-18 / 2026-06-19 |
| Changed / last seen | 2026-06-19 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from E7A3819EACC22746FA78AB1D19A8ACB0. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Paycom ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Richland. | Open |
| Department jobs | Active postings in Risk Management. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | E7A3819EACC22746FA78AB1D19A8ACB0 |
| Source | 9d70e6c4-4226-4749-8b7f-9d1268b459e6 |
| ATS provider | Paycom ATS |
Description
Description
Take a leap and join our team!
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
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. 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.
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 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
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:
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.
Leading Others
Developing Others
Emotional Intelligence
Social Responsibility
Performance & Results Orientation
Qualifications
What You Will Need:
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
Our Team Member Value Proposition:
In exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:
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
Full 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
*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)
Full job record
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| Org ID | e4bbe8af-61b9-47a3-b2c6-f5d6c308d95a |
| Source ID | 9d70e6c4-4226-4749-8b7f-9d1268b459e6 |
| Board ID | 9d70e6c4-4226-4749-8b7f-9d1268b459e6 |
| Provider | paycom |
| Provider Job Key | 499100 |
| Title | Analytics and Data Solutions Manager/Team Leader |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | South Richland HQ - Richland, WA 99352; Renton Oakesdale Ave SW - Renton, WA 98057; Spokane Valley East Sprague - Spokane Valley, WA 99212; 51 Gage Blvd, Richland, WA, 99352, USA |
| Department | Risk Management |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | WA |
| City | Richland |
| Salary Raw | $118,697.69 - $239,193.84 Salary |
| Salary Min | 118,697.69 |
| Salary Max | 239,193.84 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=499100&clientkey=E7A3819EACC22746FA78AB1D19A8ACB0 |
| Apply URL | https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=499100&clientkey=E7A3819EACC22746FA78AB1D19A8ACB0 |
| First Seen At | 2026-06-19 10:16:35Z |
| Last Seen At | 2026-06-19 10:16:35Z |
| Last Checked At | 2026-06-19 10:16:35Z |
| Last Changed At | 2026-06-19 10:16:35Z |
| Inactive At | — |
| Source Posted At | 2026-06-18 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=paycom/board=E7A3819EACC22746FA78AB1D19A8ACB0/date=2026-06-19/2026-06-19T10-16-33-716Z-7da90bd878833c0aab6c0c9bd397f607c9824d8411993d88583f947ce82f52c0.json |
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"description": "<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Take a leap and join our team!</b></span></span></span></span></h1>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">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.</span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">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. </span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><strong><span style=\"background:#FFFFFF;\"><span style=\"color:#444444;\">Get to know us: </span></span></strong><a href=\"https://www.gesa.com/about#1953\" rel=\"noreferrer noopener\" style=\"color:#0000FF;text-decoration:underline;\" target=\"_blank\"><span style=\"background:#FFFFFF;\"><span style=\"color:#428bca;\">About - Gesa Credit Union</span></span></a></span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\"> </p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Role Summary:</b></span></span></span></span></h1>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">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. </span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\"> </p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>What You Will Be Doing:</b></span></span></span></span></h1>\r\n\r\n<ol>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Lead and oversee enterprise analytics and data solutions initiatives to support strategic and operational decision-making across the credit union</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Provide direct leadership, coaching, and performance management for the Data Analyst team</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Establish clear expectations for analytics delivery that extend beyond dashboard development to include exploratory, diagnostic, and trend‑based analysis</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Guide and mentor analysts in applying appropriate analytical techniques, including basic statistical analysis where appropriate, to better understand drivers, patterns, and outcomes</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Ensure analytics deliverables clearly communicate insights, implications, and recommended actions, not just metrics or visualizations</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"line-height:107%\"><span style=\"line-height:107%\">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</span></span></span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Partner with business leaders to identify, prioritize, and deliver analytics solutions that address key organizational challenges and opportunities</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Collaborate with Data Intelligence, Data Engineering, Data Governance, and IT teams to ensure analytics solutions are built on reliable, secure, and governed data assets</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Temporarily align analysts from business units under centralized analytics leadership, as needed, to accelerate skill development, consistency, and analytical maturity</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Define readiness criteria and standards for transitioning analysts back to business units while preserving enterprise analytics practices</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Support the responsible use of advanced analytics, including statistical and exploratory methods, in alignment with business readiness and regulatory expectations</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Promote data literacy and a culture of informed, evidence‑based decision‑making across the organization</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Represent the Data Intelligence organization in cross‑functional initiatives, projects, and committees as assigned</span></span></li>\r\n</ol>\r\n\r\n<p> </p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>About You:</b></span></span></span></span></h1>\r\n\r\n<ol>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Strong leadership and people‑management skills, with the ability to develop and motivate analytics professionals</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Demonstrated ability to move analytics teams beyond reporting toward meaningful analysis and insight generation</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Strong understanding of analytics, business intelligence, and decision-making support practices in regulated environments</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"line-height:107%\"><span style=\"line-height:107%\">Familiarity with end-to-end business process mapping and P&L financial models, supporting the translation of analytics into operational and financial insight.</span></span></span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Ability to translate complex data and analysis into clear, actionable insights for technical and non‑technical audiences</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Working knowledge of modern analytics and data platforms, including cloud‑based analytics ecosystems and visualization tools</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"line-height:107%\"><span style=\"line-height:107%\">Proficiency in data analysis tools (SQL, Python, R), data visualization platforms (Tableau, Power BI), and cloud data solutions (Azure Databricks)</span></span></span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Understanding of analytical techniques such as trend analysis, segmentation, and basic statistical methods</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Strong business acumen, with the ability to connect analytics insights to operational performance and strategic objectives</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Excellent communication, presentation, and stakeholder‑management skills</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Strong analytical thinking, problem‑solving, and prioritization abilities</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Commitment to data quality, governance, and continuous improvement</span></span></li>\r\n</ol>\r\n\r\n<p class=\"MsoNoSpacing\" style=\"margin-left:8px;\"> </p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Leadership core competencies:</b></span></span></span></span></h1>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i><span style=\"color:#000000;\">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. </span></i></span></span></h1>\r\n\r\n<ul>\r\n\t<li class=\"MsoPlainText\" style=\"margin-left:56px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i><span style=\"color:#000000;\">Leading Others </span></i></span></span></li>\r\n\t<li class=\"MsoPlainText\" style=\"margin-left:56px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i><span style=\"color:#000000;\">Developing Others </span></i></span></span></li>\r\n\t<li class=\"MsoPlainText\" style=\"margin-left:56px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i><span style=\"color:#000000;\">Emotional Intelligence </span></i></span></span></li>\r\n\t<li class=\"MsoPlainText\" style=\"margin-left:56px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i><span style=\"color:#000000;\">Social Responsibility </span></i></span></span></li>\r\n\t<li class=\"MsoPlainText\" style=\"margin-left:56px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i><span style=\"color:#000000;\">Performance & Results Orientation</span></i></span></span></li>\r\n</ul>\r\n",
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"googleJobJson": "{\"@context\":\"https://schema.org/\",\"@type\":\"JobPosting\",\"title\":\"Analytics and Data Solutions Manager/Team Leader\",\"identifier\":\"J0HF65499100\",\"url\":\"https://www.paycomonline.net/v4/ats/web.php/portal/E7A3819EACC22746FA78AB1D19A8ACB0/jobs/499100\",\"image\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=E7A3819EACC22746FA78AB1D19A8ACB0\",\"baseSalary\":{\"@type\":\"MonetaryAmount\",\"currency\":\"USD\",\"value\":{\"@type\":\"QuantitativeValue\",\"minValue\":118697.69,\"maxValue\":239193.84,\"unitText\":\"\"}},\"datePosted\":\"2026-06-18\",\"description\":\"Job DetailsLevel: ManagementJob Location: South Richland HQ - Richland, WA 99352Position Type: Full Time - Salary Education Level: 4 Year DegreeSalary Range: $118,697.69 - $239,193.84 SalaryJob Category: Risk ManagementTake a leap and join our team!\\r\\n\\r\\nAt 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.\\r\\n\\r\\nHere 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. \\r\\n\\r\\nGet to know us: About - Gesa Credit Union\\r\\n\\r\\n \\r\\n\\r\\nRole Summary:\\r\\n\\r\\nUnder 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. \\r\\n\\r\\n \\r\\n\\r\\nWhat You Will Be Doing:\\r\\n\\r\\n\\r\\n\\tLead and oversee enterprise analytics and data solutions initiatives to support strategic and operational decision-making across the credit union\\r\\n\\tProvide direct leadership, coaching, and performance management for the Data Analyst team\\r\\n\\tEstablish clear expectations for analytics delivery that extend beyond dashboard development to include exploratory, diagnostic, and trend‑based analysis\\r\\n\\tGuide and mentor analysts in applying appropriate analytical techniques, including basic statistical analysis where appropriate, to better understand drivers, patterns, and outcomes\\r\\n\\tEnsure analytics deliverables clearly communicate insights, implications, and recommended actions, not just metrics or visualizations\\r\\n\\tDrive 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\\r\\n\\tPartner with business leaders to identify, prioritize, and deliver analytics solutions that address key organizational challenges and opportunities\\r\\n\\tCollaborate with Data Intelligence, Data Engineering, Data Governance, and IT teams to ensure analytics solutions are built on reliable, secure, and governed data assets\\r\\n\\tTemporarily align analysts from business units under centralized analytics leadership, as needed, to accelerate skill development, consistency, and analytical maturity\\r\\n\\tDefine readiness criteria and standards for transitioning analysts back to business units while preserving enterprise analytics practices\\r\\n\\tSupport the responsible use of advanced analytics, including statistical and exploratory methods, in alignment with business readiness and regulatory expectations\\r\\n\\tPromote data literacy and a culture of informed, evidence‑based decision‑making across the organization\\r\\n\\tRepresent the Data Intelligence organization in cross‑functional initiatives, projects, and committees as assigned\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nAbout You:\\r\\n\\r\\n\\r\\n\\tStrong leadership and people‑management skills, with the ability to develop and motivate analytics professionals\\r\\n\\tDemonstrated ability to move analytics teams beyond reporting toward meaningful analysis and insight generation\\r\\n\\tStrong understanding of analytics, business intelligence, and decision-making support practices in regulated environments\\r\\n\\tFamiliarity with end-to-end business process mapping and P&L financial models, supporting the translation of analytics into operational and financial insight.\\r\\n\\tAbility to translate complex data and analysis into clear, actionable insights for technical and non‑technical audiences\\r\\n\\tWorking knowledge of modern analytics and data platforms, including cloud‑based analytics ecosystems and visualization tools\\r\\n\\tProficiency in data analysis tools (SQL, Python, R), data visualization platforms (Tableau, Power BI), and cloud data solutions (Azure Databricks)\\r\\n\\tUnderstanding of analytical techniques such as trend analysis, segmentation, and basic statistical methods\\r\\n\\tStrong business acumen, with the ability to connect analytics insights to operational performance and strategic objectives\\r\\n\\tExcellent communication, presentation, and stakeholder‑management skills\\r\\n\\tStrong analytical thinking, problem‑solving, and prioritization abilities\\r\\n\\tCommitment to data quality, governance, and continuous improvement\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nLeadership core competencies:\\r\\n\\r\\nLeaders 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. \\r\\n\\r\\n\\r\\n\\tLeading Others \\r\\n\\tDeveloping Others \\r\\n\\tEmotional Intelligence \\r\\n\\tSocial Responsibility \\r\\n\\tPerformance & Results Orientation\\r\\n\\r\\nQualificationsWhat You Will Need:\\r\\n\\r\\n\\r\\n\\tBachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field required; advanced degree preferred\\r\\n\\tFive (5) to eight (8) or more years of experience in analytics, business intelligence, or solutions development supporting business decision‑making required\\r\\n\\tOne (1) to three (3) or more years of experience leading, mentoring, or managing a team of analysts or analytics professionals required\\r\\n\\tDemonstrated experience partnering with business stakeholders to deliver analytics solutions that drive measurable outcomes\\r\\n\\tExperience working in financial services or other regulated environments preferred\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nOur Team Member Value Proposition:\\r\\n\\r\\nIn exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:\\r\\n\\r\\n\\r\\n\\t\\r\\n\\tCompetitive Pay\\r\\n\\t\\r\\n\\t\\r\\n\\tMedical, Dental, Vision, and Life Insurance \\r\\n\\t\\r\\n\\t\\r\\n\\t20 days/year of Paid Time Off – Plus 10 Paid Holidays!\\r\\n\\t\\r\\n\\t\\r\\n\\t401(k) Match\\r\\n\\t\\r\\n\\t\\r\\n\\tIncentive Program\\r\\n\\t\\r\\n\\t\\r\\n\\tTuition Assistance and Student Loan Repayment\\r\\n\\t\\r\\n\\t\\r\\n\\tCommuter Benefits\\r\\n\\t\\r\\n\\t\\r\\n\\tPaid Time Off to Volunteer in the Community\\r\\n\\t\\r\\n\\t\\r\\n\\tProduct discounts\\r\\n\\t\\r\\n\\t\\r\\n\\tEngaging Work Environment\\r\\n\\t\\r\\n\\t\\r\\n\\tRewards and Recognition Programs\\r\\n\\t\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nFull Salary Range:\\r\\n\\r\\nRichland, WA: $118,697.69-$197,829.49\\r\\n\\r\\nSpokane, WA: $118,697.69-$197,829.49\\r\\n\\r\\nRenton, WA: $143,516.30- $239,193.84\\r\\n\\r\\n*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!"\\r\\n\\r\\n \\r\\n\\r\\n \\r\\n\\r\\nGet wise to what’s possible with a career at Gesa. Join us!\\r\\n\\r\\nWe 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.\\r\\n\\r\\nGesa 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.\\r\\n\\r\\nSelected candidate(s) must be able to pass a pre-employment credit/background check.\\r\\n\\r\\nGesa 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.\\r\\n\\r\\nEqual Employment Opportunity (gesa.com)\\r\\n\",\"responsibilities\":\"Take a leap and join our team!\\r\\n\\r\\nAt 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.\\r\\n\\r\\nHere 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. \\r\\n\\r\\nGet to know us: About - Gesa Credit Union\\r\\n\\r\\n \\r\\n\\r\\nRole Summary:\\r\\n\\r\\nUnder 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. \\r\\n\\r\\n \\r\\n\\r\\nWhat You Will Be Doing:\\r\\n\\r\\n\\r\\n\\tLead and oversee enterprise analytics and data solutions initiatives to support strategic and operational decision-making across the credit union\\r\\n\\tProvide direct leadership, coaching, and performance management for the Data Analyst team\\r\\n\\tEstablish clear expectations for analytics delivery that extend beyond dashboard development to include exploratory, diagnostic, and trend‑based analysis\\r\\n\\tGuide and mentor analysts in applying appropriate analytical techniques, including basic statistical analysis where appropriate, to better understand drivers, patterns, and outcomes\\r\\n\\tEnsure analytics deliverables clearly communicate insights, implications, and recommended actions, not just metrics or visualizations\\r\\n\\tDrive 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\\r\\n\\tPartner with business leaders to identify, prioritize, and deliver analytics solutions that address key organizational challenges and opportunities\\r\\n\\tCollaborate with Data Intelligence, Data Engineering, Data Governance, and IT teams to ensure analytics solutions are built on reliable, secure, and governed data assets\\r\\n\\tTemporarily align analysts from business units under centralized analytics leadership, as needed, to accelerate skill development, consistency, and analytical maturity\\r\\n\\tDefine readiness criteria and standards for transitioning analysts back to business units while preserving enterprise analytics practices\\r\\n\\tSupport the responsible use of advanced analytics, including statistical and exploratory methods, in alignment with business readiness and regulatory expectations\\r\\n\\tPromote data literacy and a culture of informed, evidence‑based decision‑making across the organization\\r\\n\\tRepresent the Data Intelligence organization in cross‑functional initiatives, projects, and committees as assigned\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nAbout You:\\r\\n\\r\\n\\r\\n\\tStrong leadership and people‑management skills, with the ability to develop and motivate analytics professionals\\r\\n\\tDemonstrated ability to move analytics teams beyond reporting toward meaningful analysis and insight generation\\r\\n\\tStrong understanding of analytics, business intelligence, and decision-making support practices in regulated environments\\r\\n\\tFamiliarity with end-to-end business process mapping and P&L financial models, supporting the translation of analytics into operational and financial insight.\\r\\n\\tAbility to translate complex data and analysis into clear, actionable insights for technical and non‑technical audiences\\r\\n\\tWorking knowledge of modern analytics and data platforms, including cloud‑based analytics ecosystems and visualization tools\\r\\n\\tProficiency in data analysis tools (SQL, Python, R), data visualization platforms (Tableau, Power BI), and cloud data solutions (Azure Databricks)\\r\\n\\tUnderstanding of analytical techniques such as trend analysis, segmentation, and basic statistical methods\\r\\n\\tStrong business acumen, with the ability to connect analytics insights to operational performance and strategic objectives\\r\\n\\tExcellent communication, presentation, and stakeholder‑management skills\\r\\n\\tStrong analytical thinking, problem‑solving, and prioritization abilities\\r\\n\\tCommitment to data quality, governance, and continuous improvement\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nLeadership core competencies:\\r\\n\\r\\nLeaders 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. \\r\\n\\r\\n\\r\\n\\tLeading Others \\r\\n\\tDeveloping Others \\r\\n\\tEmotional Intelligence \\r\\n\\tSocial Responsibility \\r\\n\\tPerformance & Results Orientation\\r\\n\\r\\n\",\"employmentType\":\"OTHER\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"GESA CREDIT UNION\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=E7A3819EACC22746FA78AB1D19A8ACB0\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"51 Gage Blvd\",\"addressLocality\":\"Richland\",\"addressRegion\":\"WA\",\"postalCode\":99352,\"addressCountry\":\"USA\"}},\"qualifications\":\"What You Will Need:\\r\\n\\r\\n\\r\\n\\tBachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field required; advanced degree preferred\\r\\n\\tFive (5) to eight (8) or more years of experience in analytics, business intelligence, or solutions development supporting business decision‑making required\\r\\n\\tOne (1) to three (3) or more years of experience leading, mentoring, or managing a team of analysts or analytics professionals required\\r\\n\\tDemonstrated experience partnering with business stakeholders to deliver analytics solutions that drive measurable outcomes\\r\\n\\tExperience working in financial services or other regulated environments preferred\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nOur Team Member Value Proposition:\\r\\n\\r\\nIn exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:\\r\\n\\r\\n\\r\\n\\t\\r\\n\\tCompetitive Pay\\r\\n\\t\\r\\n\\t\\r\\n\\tMedical, Dental, Vision, and Life Insurance \\r\\n\\t\\r\\n\\t\\r\\n\\t20 days/year of Paid Time Off – Plus 10 Paid Holidays!\\r\\n\\t\\r\\n\\t\\r\\n\\t401(k) Match\\r\\n\\t\\r\\n\\t\\r\\n\\tIncentive Program\\r\\n\\t\\r\\n\\t\\r\\n\\tTuition Assistance and Student Loan Repayment\\r\\n\\t\\r\\n\\t\\r\\n\\tCommuter Benefits\\r\\n\\t\\r\\n\\t\\r\\n\\tPaid Time Off to Volunteer in the Community\\r\\n\\t\\r\\n\\t\\r\\n\\tProduct discounts\\r\\n\\t\\r\\n\\t\\r\\n\\tEngaging Work Environment\\r\\n\\t\\r\\n\\t\\r\\n\\tRewards and Recognition Programs\\r\\n\\t\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nFull Salary Range:\\r\\n\\r\\nRichland, WA: $118,697.69-$197,829.49\\r\\n\\r\\nSpokane, WA: $118,697.69-$197,829.49\\r\\n\\r\\nRenton, WA: $143,516.30- $239,193.84\\r\\n\\r\\n*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!"\\r\\n\\r\\n \\r\\n\\r\\n \\r\\n\\r\\nGet wise to what’s possible with a career at Gesa. Join us!\\r\\n\\r\\nWe 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.\\r\\n\\r\\nGesa 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.\\r\\n\\r\\nSelected candidate(s) must be able to pass a pre-employment credit/background check.\\r\\n\\r\\nGesa 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.\\r\\n\\r\\nEqual Employment Opportunity (gesa.com)\\r\\n\",\"experienceRequirements\":\"What You Will Need:\\r\\n\\r\\n\\r\\n\\tBachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field required; advanced degree preferred\\r\\n\\tFive (5) to eight (8) or more years of experience in analytics, business intelligence, or solutions development supporting business decision‑making required\\r\\n\\tOne (1) to three (3) or more years of experience leading, mentoring, or managing a team of analysts or analytics professionals required\\r\\n\\tDemonstrated experience partnering with business stakeholders to deliver analytics solutions that drive measurable outcomes\\r\\n\\tExperience working in financial services or other regulated environments preferred\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nOur Team Member Value Proposition:\\r\\n\\r\\nIn exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:\\r\\n\\r\\n\\r\\n\\t\\r\\n\\tCompetitive Pay\\r\\n\\t\\r\\n\\t\\r\\n\\tMedical, Dental, Vision, and Life Insurance \\r\\n\\t\\r\\n\\t\\r\\n\\t20 days/year of Paid Time Off – Plus 10 Paid Holidays!\\r\\n\\t\\r\\n\\t\\r\\n\\t401(k) Match\\r\\n\\t\\r\\n\\t\\r\\n\\tIncentive Program\\r\\n\\t\\r\\n\\t\\r\\n\\tTuition Assistance and Student Loan Repayment\\r\\n\\t\\r\\n\\t\\r\\n\\tCommuter Benefits\\r\\n\\t\\r\\n\\t\\r\\n\\tPaid Time Off to Volunteer in the Community\\r\\n\\t\\r\\n\\t\\r\\n\\tProduct discounts\\r\\n\\t\\r\\n\\t\\r\\n\\tEngaging Work Environment\\r\\n\\t\\r\\n\\t\\r\\n\\tRewards and Recognition Programs\\r\\n\\t\\r\\n\\r\\n\\r\\n \\r\\n\\r\\nFull Salary Range:\\r\\n\\r\\nRichland, WA: $118,697.69-$197,829.49\\r\\n\\r\\nSpokane, WA: $118,697.69-$197,829.49\\r\\n\\r\\nRenton, WA: $143,516.30- $239,193.84\\r\\n\\r\\n*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!"\\r\\n\\r\\n \\r\\n\\r\\n \\r\\n\\r\\nGet wise to what’s possible with a career at Gesa. Join us!\\r\\n\\r\\nWe 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.\\r\\n\\r\\nGesa 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.\\r\\n\\r\\nSelected candidate(s) must be able to pass a pre-employment credit/background check.\\r\\n\\r\\nGesa 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.\\r\\n\\r\\nEqual Employment Opportunity (gesa.com)\\r\\n\",\"industry\":\"Risk Management\",\"validThrough\":\"-0001-11-30\",\"educationRequirements\":\"4 Year Degree\"}",
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"educationLevel": "4 Year Degree",
"qualifications": "<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>What You Will Need:</b></span></span></span></span></h1>\r\n\r\n<ol>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field required; advanced degree preferred</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">Five (5) to eight (8) or more years of experience in analytics, business intelligence, or solutions development supporting business decision‑making required</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">One (1) to three (3) or more years of experience leading, mentoring, or managing a team of analysts or analytics professionals required</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">Demonstrated experience partnering with business stakeholders to deliver analytics solutions that drive measurable outcomes</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">Experience working in financial services or other regulated environments preferred</span></span></li>\r\n</ol>\r\n\r\n<p style=\"margin-bottom:8px;\"> </p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Our Team Member Value Proposition:</b></span></span></span></span></h1>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">In exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:</span></span></p>\r\n\r\n<ul style=\"margin-bottom:8px;\">\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Competitive Pay</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Medical, Dental, Vision, and Life Insurance </span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">20 days/year of Paid Time Off – Plus 10 Paid Holidays!</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">401(k) Match</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Incentive Program</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Tuition Assistance and Student Loan Repayment</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Commuter Benefits</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Paid Time Off to Volunteer in the Community</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Product discounts</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Engaging Work Environment</span></span></div>\r\n\t</li>\r\n\t<li style=\"margin-bottom:8px;\">\r\n\t<div><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Rewards and Recognition Programs</span></span></div>\r\n\t</li>\r\n</ul>\r\n\r\n<p style=\"margin-left:48px;margin-bottom:8px;\"> </p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"display:block;font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Full Salary Range:</b></span></span></span></span></h1>\r\n\r\n<div style=\"margin-bottom: 8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\">Richland, WA: $118,697.69-$197,829.49</span></span></div>\r\n\r\n<div style=\"margin-bottom: 8px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">Spokane, WA: $118,697.69-$197,829.49</span></span></div>\r\n\r\n<div style=\"margin-bottom: 8px;\"><span style=\"font-family:Verdana,Geneva,sans-serif;\"><span style=\"display:block;font-size:14px;\">Renton, WA: $143,516.30- $239,193.84</span></span></div>\r\n\r\n<div style=\"margin-bottom: 8px;\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><i>*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!"</i></span></span></div>\r\n\r\n<p style=\"margin-bottom:8px;\"> </p>\r\n\r\n<p style=\"margin-left:48px;margin-bottom:8px;\"> </p>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Get wise to what’s possible with a career at Gesa. Join us!</span></span></p>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">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.</span></span></p>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">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.</span></span></p>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Selected candidate(s) must be able to pass a pre-employment credit/background check.</span></span></p>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">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.</span></span></p>\r\n\r\n<p><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><a href=\"https://www.gesa.com/docs/resource---EEOC-policy.pdf\" rel=\"noreferrer noopener\" style=\"color:#0000FF;text-decoration:underline;\" target=\"_blank\">Equal Employment Opportunity (gesa.com)</a></span></span></p>\r\n",
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