• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution • Plan and design simple to semi-complex business processes and system modifications • Make recommendations to improve and support business activities • Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties • Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design • Develop business requirements documents/user stories to support the required modifications • May plan, allocate and monitor work of other business analysts • Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills • Assist in providing time estimates for project related tasks • Aid in updating process and procedural documentation • Develop basic understanding of technical development cycle of mobile application or web portals • Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. • Any other task that may be assigned

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams. **Key Responsibilities** **Capital Markets & Trade Lifecycle:** - Analyze and document business processes across equities, fixed income, and derivatives products. - Support end-to-end trade lifecycle analysis and process optimization. **Reference Data & Master Data Management (MDM):** - Contribute to golden-source reference data design and attribute hierarchies. - Support data modeling, data lineage mapping, and corporate action workflows. **Data Quality & Controls:** - Define data quality rules including completeness, accuracy, and timeliness. - Develop validation logic, exception handling processes, and reconciliation requirements. - Work closely with data engineering teams to implement robust control frameworks. **Technical & Analytical Skills:** - Use SQL for data profiling, analysis, and validation. - Perform gap analysis across systems, data models, and business processes. **Requirements Gathering & Delivery:** - Gather, analyze, and document business and functional requirements. - Translate business needs into clear specifications and acceptance criteria. - Drive User Acceptance Testing (UAT) and manage defect tracking and remediation. **Stakeholder & Vendor Management:** - Act as a liaison between business stakeholders, technology teams, and external data vendors. - Ensure consistent data definitions and alignment across teams. **Communication & Problem-Solving:** - Simplify complex data concepts for non-technical audiences. - Provide analytical insights and recommendations to support decision-making.

• Lead and support data governance efforts to ensure the agency uses data consistently and accurately. • Understand how key data systems (including the EHR) are structured in order to find, organize, and report information effectively. • Create, maintain, and update documentation, resources, and shared tools that help staff access and understand reports. • Produce regular and ad-hoc data reports for internal teams and external partners, ensuring information is accurate and delivered on time. • Collaborate with departments to build reporting tools, provide basic training, and support staff who rely on data for decision-making. • Contribute to agency needs by completing special projects, supporting teamwork, and staying flexible as priorities and schedules shift.

• You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to building predictive models, and to improving patient engagement and clinical efficiency. • You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering, and Design) as well as stakeholders across Operations, Clinical, and Finance. • Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors. • Help Product teams maximize impact by working with PMs and engineers to understand costs and constraints while looking at underlying data and making reasonable assumptions to size opportunities.