Business Analysis & User Acceptance Testing – Lead Associate

Job description

As a valued colleague on our team, you will act as a team lead to deliver business and data insights, recommend product and process enhancements, and identify opportunities for automation and continuous improvement. You will partner with business, product, data, and technology teams to translate business needs into clear requirements and ensure solutions meet expectations through effective User Acceptance Testing (UAT).

This role combines business analysis, data analysis, UAT, and process improvement, with an emphasis on leveraging SQL, data management, AI, and automation tools to improve quality, efficiency, and business outcomes. THE IMPACT YOU WILL MAKE The Business Analysis & User Acceptance Testing

• Lead Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Gather, analyze, document, and validate business, functional, and data requirements.

Translate business needs into user stories, acceptance criteria, process flows, and testable requirements. Develop and execute UAT plans, test scenarios, test cases, test data, and expected results. Coordinate UAT activities, manage defects, perform retesting, and support business sign-off. Use SQL to analyze, reconcile, and validate data across systems and identify data-quality issues. Perform source-to-target, data transformation, and business-rule validation.

Partner with business, data, and technology teams to investigate and resolve functional and data-related issues. Leverage approved AI and automation tools to improve requirements analysis, documentation, testing, data analysis, and reporting. Identify opportunities to automate repetitive activities, simplify processes, reduce manual effort, and improve efficiency. Communicate project status, risks, issues, dependencies, recommendations, and testing results to stakeholders.

THE

EXPERIENCE

YOU BRING TO THE TEAM Minimum Required Experiences: 4 years of relevant experience Experience in business analysis and requirements gathering, with hands-on User Acceptance Testing (UAT) experience. Demonstrated experience planning and executing UAT, including developing test scenarios and test cases, documenting results, identifying defects, performing retesting, and supporting business sign-off. Strong attention to detail with the ability to identify discrepancies, validate expected results, and ensure accuracy and completeness of requirements and testing outcomes.

Experience developing business requirements, user stories, acceptance criteria, and process flows. Working knowledge of SQL and experience querying relational databases for data analysis, reconciliation, and validation. Experience with data validation, data quality, and data management concepts. Experience using requirements, testing, and collaboration tools such as Jira, Confluence, or similar platforms. Strong analytical, problem-solving, communication, and stakeholder-management skills.

Experience collaborating with business and technology teams in an Agile delivery environment. Prior development or coding experience and working knowledge of a programming language such as Python, Java, or similar technologies. Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work Desired Experiences: Masters or PhD* in Data Science, Economics, Math, Statistics, or a related field (*or comparable experience) Advanced SQL skills and experience working with large or complex data sets.

Experience with data management, data mapping, ETL/data integration, and source-to-target validation. Experience with reporting and data visualization tools such as Excel, Power BI, Tableau, or similar tools. Experience using Generative AI or AI-assisted tools to improve analysis, documentation, testing, and productivity. Experience identifying and implementing AI, automation, and process-improvement opportunities. Experience using Python or similar programming languages for data analysis, testing, automation, or process improvement.

Experience with complex system implementations, data migrations, integrations, or business transformation initiatives. Enterprise Model Risk

• Data Science

Lead Associate Target Pay Range

• $141,000 - $184,000 a year #LI-Hybrid #LI-ME1