Business Systems Analyst / QA leveraging data analysis, migration, and automation for financial services. Collaborating with cross-functional teams to improve system efficiency and data quality.
Responsibilities
Lead end-to-end analysis from requirements gathering through delivery
Translate business needs into Epics, Features, and User Stories
Conduct stakeholder workshops and review sessions to validate and gain approval of requirements
Research, document, and analyze workflow processes and system issues
Identify improvement opportunities and drive process optimization initiatives
Perform data analysis, extraction, mapping, reconciliation, and validation to ensure data accuracy and integrity
Drive data migration and transformation initiatives (e.g., Informatica → Databricks)
Collaborate with Data Engineers and Data Wranglers to structure and optimize large datasets
Support data quality practices and data governance alignment
Support QA, UAT, and release cycles, including defect triage and tracking
Contribute to and enhance QA automation frameworks (e.g., Selenium, Cypress)
Develop and execute test plans and validation strategies for system implementations
Leverage AI-driven QA techniques such as intelligent test generation, anomaly detection, and automated validation
Work cross-functionally with Data Engineering, QA, Business Stakeholders, and Operations teams
Coordinate process changes, system enhancements, and product implementations
Communicate progress, risks, and outcomes effectively to stakeholders
Build relationships across teams and influence decisions to drive successful delivery
Requirements
5–6+ years of experience as a Business Systems Analyst / Business Analyst / QA Analyst
Strong expertise in data analysis, data migration, and data validation
Large-scale data ecosystems
Hands-on experience with Informatica, Databricks, or similar data platforms
Experience with QA automation tools/frameworks (Selenium, Cypress, etc.)
Exposure to AI-driven QA or intelligent test automation
Strong knowledge of US Retirement / Pension / Financial Products domain
Proficiency in SQL and data mapping tools
Strong understanding of business analysis methodologies and tools
Experience working with enterprise-level systems and applications
Ability to analyze complex problems and develop creative solutions
Strong stakeholder management and communication skills
Benefits
Health, dental, mental health, vision, short- and long-term disability
Life and AD&D insurance coverage
Adoption/surrogacy and wellness benefits
Employee/family assistance plans
Various retirement savings plans
Pension and a global share ownership plan with employer matching contributions
Financial education and counseling resources
Generous paid time off, including holidays, vacation, personal, and sick days
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