Data Analyst

Location - Pittsburgh, Pennsylvania (Onsite 5 Days per Week) Job Summary STAFFXPERT LLC is seeking a Data Analyst on behalf of our client in Pittsburgh, PA. This role is responsible for analyzing, validating, and translating complex business and data requirements into actionable insights and technical solutions. The ideal candidate will have experience working in banking or financial services environments and possess strong SQL, data analysis, and testing capabilities. This position requires close collaboration with business stakeholders, technology teams, and end users to support data-driven decision-making and successful project delivery. Key Responsibilities • Gather, analyze, and document business requirements, user stories, and functional specifications from stakeholders. • Translate complex business processes into clear technical workflows and data requirements. • Develop and execute complex SQL queries to extract, analyze, and validate data. • Perform data profiling, reconciliation, and gap analysis to ensure data accuracy and integrity. • Identify, evaluate, and support technology solutions that align with business objectives and operational needs. • Design and execute comprehensive test plans, test cases, and validation scenarios for applications, data integrations, and APIs. • Coordinate and support User Acceptance Testing (UAT) activities with business users and stakeholders. • Collaborate with cross-functional teams to improve processes, reporting capabilities, and system functionality. • Assess and manage risks associated with business processes, data quality, and technology implementations. • Provide analytical support for ongoing projects, enhancements, and production initiatives. Required Qualifications • Bachelor s degree in Information Systems, Computer Science, Business, Finance, or a related field, or equivalent work experience. • 3 5 years of experience as a Data Analyst, Business Analyst, or QA Analyst within the banking or financial services industry. • Strong experience writing complex SQL queries, including joins, subqueries, aggregations, and data validation queries. • Hands-on experience with data profiling, reconciliation, and data quality analysis. • Experience creating and executing test plans, test cases, and UAT processes. • Strong analytical, problem-solving, and documentation skills. • Excellent communication and stakeholder management abilities. • Ability to work effectively in a collaborative, fast-paced environment. Preferred Qualifications • Experience supporting banking applications, financial systems, or regulatory reporting initiatives. • Familiarity with API testing and data integration validation. • Knowledge of SDLC, Agile methodologies, and business process modeling. • Experience working with reporting, analytics, or business intelligence tools.