• Lead and facilitate requirements-gathering sessions with business stakeholders to understand current processes, pain points, and desired future state. • Translate business needs into clear, comprehensive business, functional, and technical requirements. • Analyze and map existing contract processes; recommend improvements using CLM best practices. • Collaborate with implementation teams to validate solution design, configuration decisions, and alignment with documented requirements. • Conduct gap analyses and propose alternative approaches when requirements or expectations do not align with system capabilities. • Develop process flows, user stories, acceptance criteria, and supporting documentation. • Support project managers in defining scope, milestones, risks, and dependencies to ensure successful and timely project delivery. • At times, you are the project lead, responsible for managing project tasks and timeline, working closely with your manager. • Participate in user acceptance testing by creating test scenarios, validating functionality, and logging issues. • Provide guidance to customers on maximizing value through standardized processes, automation, and optimized solution use. • Perform system configuration and integration tasks. • Assist with end-user training and change management activities to promote adoption and confidence in the solution. • Contribute to internal knowledge base content, best practice documents, and repeatable implementation methodologies. • Partner with Product and Engineering teams by sharing insights on customer needs, recurring use cases, and opportunities for product enhancement. • Provide subject matter expertise on CLM capabilities and configurations to support cross-functional initiatives. • Obtain expert level knowledge in the Malbek CLM solution; be responsible for maintaining product knowledge with each release of the software. • Leverage AI for implementation efficiency. • Support system integration partners as team members.

• 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.