Business System Quality Analyst

Credit Union of Texas•Allen, TX

14h•Hybrid

About The Position

The Business Systems and Quality Analyst defines business and functional requirements, authors effective and actionable user stories, and plans and executes the validation phase of the Software Development Life Cycle (SDLC) for systems and digital experiences used by Credit Union of Texas members and team members. Acting as a subject matter expert across front-end and back-end systems, the role partners with business stakeholders, vendors, project teams, and leadership to translate business needs into well-specified, well-tested products that align to CUTX product vision and business objectives. The role applies strong analytical, technical, and communication skills, and uses CUTX-approved AI and analytics tools to accelerate requirements analysis, test design, and defect triage while preserving human-in-the-loop accountability on all member-impacting outputs.

Requirements

Bachelor's degree in Business, Information Technology, or a related field, required.
Minimum three (3) years of experience as a Business Systems Analyst, Quality Analyst, or similar role with a focus on systems and quality assurance.
Agile/SCRUM experience, specifically in user story and acceptance criteria development and participating in sprint planning.
Proficiency in eliciting, defining, and documenting business requirements and translating them into functional specifications.
Ability to design and execute project test suites (plan, scenarios, cases).
Experience testing and validating front-end and back-end development, including customer-facing digital applications.
Working SQL skills for querying, analyzing, and validating data integrity.
Strong ability to document, troubleshoot, and resolve system errors.
Proficiency with relevant software tools, including Microsoft Office, Confluence, Jira, Azure DevOps, and testing platforms.
Strong written and verbal communication, with the ability to present information clearly to varied audiences.
Strong critical-thinking, logic, and problem-solving skills.
Strong time management and organizational skills; able to manage multiple projects with competing deadlines.
Adaptability through changing priorities while maintaining commitment to excellence.
Ability to collaborate effectively with programmers of varying skill sets to deliver high-quality outcomes.
Intermediate AI Literacy: The role uses AI-augmented tools (Tier 2) for requirements drafting, test case generation, and defect triage, and is responsible for human-in-the-loop review on every output that influences delivered software.
Intermediate Analytical & Critical Thinking: The role defines complex problems, interprets technical instructions, and draws innovative conclusions across multiple abstract and concrete variables in the SDLC.
Advanced Quality Discipline: Defect escape directly affects members and operations; the role must apply rigorous test design, execution, and traceability practices.
Intermediate Communication: The role communicates complex requirements and test outcomes to vendors, developers, and business stakeholders, both in writing and verbally.
Intermediate Collaboration: The role works within cross-functional delivery teams and partners with vendors, developers, and business stakeholders through product launches.
Intermediate Risk Awareness: The role identifies and escalates risks that impact timelines, member experience, data integrity, and regulatory posture.
Intermediate Adaptability: Priorities shift across releases, vendors, and platforms; the role must deliver innovative solutions under changing conditions.
AI-assisted requirements analysis and user story drafting — AI helps synthesize stakeholder input into draft user stories and acceptance criteria for analyst review and refinement.
AI-assisted test case generation — AI proposes test scenarios and cases from requirements and prior defect history, which the Analyst reviews, edits, and approves before execution.
AI-assisted defect triage and summarization — AI clusters and summarizes defects, logs, and reproduction steps to accelerate root-cause analysis.
AI-assisted documentation and process diagramming — AI supports the drafting of process flows, functional specifications, and release notes.
AI-assisted SQL and data validation — AI suggests queries and validation logic for data integrity checks, subject to analyst review before execution against production-equivalent data.
The Business Systems and Quality Analyst retains accountability for any decision, communication, or member/employee-impacting action influenced by AI output, consistent with the CUTX Generative AI Usage Policy §3.4.
The responsibilities contained within this job description remain compliant with the Bank Secrecy Act/Anti-Money Laundering, Office of Foreign Assets Control, and USA PATRIOT Act as they apply to the duties of the position.

Nice To Haves

Certification in Software Quality Assurance (e.g., ISTQB) or Project Management (e.g., PMP) preferred.
Two (2)+ years of financial industry experience is preferred.
Experience with Banno / Jack Henry products or similar financial technology platforms is desirable.
Experience testing the Symitar Episys core banking application is a plus.
Prior experience using AI- or analytics-driven tools to support requirements, testing, or defect triage is preferred.
Certification in Software Quality Assurance (e.g., ISTQB) preferred.
Project Management certification (e.g., PMP) preferred.
Familiarity with automated testing tools and frameworks is preferred.
Working knowledge of banking operations, digital banking platforms, and emerging financial technologies.

Responsibilities

Work with stakeholders across business units to understand needs and document business requirements with clarity and traceability.
Interpret and translate business requirements into functional specifications and current- and future-state business process diagrams.
Author user stories and acceptance criteria that drive product development and align deliverables to product vision and business objectives.
Participate in sprint planning, backlog refinement, and acceptance criteria reviews within an Agile/SCRUM delivery model.
Plan and execute all aspects of the validation phase of the SDLC, including creation of the full test suite (test plan, scenarios, and cases).
Test products, systems, and software to ensure they are defect-free and meet CUTX quality standards and end-user expectations.
Design and execute project test suites across front-end and back-end components, including customer-facing digital applications.
Use automated testing tools and frameworks where applicable to improve test coverage, efficiency, and repeatability.
Apply SQL skills to query, analyze, and validate data integrity across systems.
Serve as a subject matter expert on front-end and back-end systems used by CUTX, providing guidance and insights.
Document, troubleshoot, and resolve system errors, escalating complex issues and partnering with developers and vendors as needed.
Interpret business needs, member expectations, user experience trends, and technological capabilities to drive system improvements.
Partner with vendors, project teams, and leadership to support the successful launch of new or enhanced products.
Support testing strategies, communication strategy preparation, and overall launch support to ensure seamless implementation.
Collaborate with the training team on the design and delivery of rollout strategies for new product features and enhancements.
Collaborate with senior analysts, developers, and project team members, seeking guidance on complex issues and sharing knowledge across the team.
Identify and escalate risks that impact project timelines and deliverables, and contribute to mitigation strategies.
Promote a positive, collaborative team environment while working independently in a fast-paced, demanding setting.
Use CUTX-approved AI tools to accelerate requirements drafting, user story generation, test case generation, and defect summarization, with mandatory human review of every output before use.
Identify opportunities to improve SDLC quality, cycle time, and defect prevention, and recommend tooling or process changes to leadership.
Participate in pilots of CUTX-approved AI tools that support business systems analysis and QA, contribute feedback, and adopt approved enhancements.
Apply human-in-the-loop review on every AI-generated user story, acceptance criterion, test case, defect summary, and member-impacting artifact before it is committed, executed, or released.
Stop reliance on AI output and escalate immediately if the output appears inaccurate, biased, non-compliant, or outside the role's documented scope (Generative AI Usage Policy §3.5).
Refrain from entering member non-public personal information (NPI), confidential CUTX information, source code from restricted repositories, or material non-public information into any AI tool not explicitly approved for that data classification.
Complete all required AI training within thirty (30) days of hire and maintain currency on annual refreshers.
Responsible for all enterprise compliance obligations applicable to a CUTX team member, including BSA/AML, OFAC, USA PATRIOT Act/CIP/CDD, GLBA and the Safeguards Rule, Fair Lending laws (ECOA/Reg B, Fair Housing Act), UDAAP, Information Security and Acceptable Use, and the CUTX Code of Conduct.
Adhere to CUTX Software Development Life Cycle (SDLC), Change Management, and Release Management policies and procedures.
Adhere to CUTX Information Security policies, including data classification, access management, and secure handling of test data.
Comply with Gramm-Leach-Bliley Act (GLBA) and the Safeguards Rule as applied to systems handling member data, including non-production test environments.
Adhere to vendor management and third-party risk requirements applicable to interactions with platform vendors (e.g., Jack Henry / Banno, Symitar).
Ensure records retention and audit-trail requirements for requirements documentation, test evidence, and release approvals sufficient to support internal audit and regulatory examination.