Title: Market Data Analyst **PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply** The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: - Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting. - Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. - Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses. - Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client’s end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.) - Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend. - Conducts regular internal team meetings to report on client SLA’s and to ensure all client service deliverables are being met and completed. Qualifications: - Bachelor’s degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred. - Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). - Knowledge of FITS and MDSL inventory systems is preferred. - Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders. - An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously. - Have high energy and be a self-starter with the ability to work independently and as part of a team.

• Analyze data extracted from SAP systems (ECC or S/4HANA), ensuring the quality, consistency and reliability of the information. • Develop management reports, dashboards and KPIs from SAP data to support tactical and strategic decisions. • Perform analyses involving business process data (e.g., production, logistics, finance, supply chain, sales). • Collaborate with business areas, translating operational needs into analytical requirements. • Support the definition of metrics, indicators and data governance criteria. • Work in partnership with IT, BI and Data Engineering teams on data extraction, transformation and modeling. • Ensure correct interpretation of SAP data, considering business rules and integrations between modules. • Support projects to evolve the analytical environment, migrations (e.g., ECC to S/4HANA) and digital transformation initiatives. • Serve as a senior technical reference for SAP data within the organization.

• You operate at the interface between data analysis, data engineering and business units. • Analyze and prepare complex data from various sources • Build, develop and optimize data pipelines and data models • Develop meaningful reports, dashboards and data-driven decision support • Work closely with business units to translate requirements into data solutions • Ensure data quality, performance and scalability • Improve processes and standards for handling data

• Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design • Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents • Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization • Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction • Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities • Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results • Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk • Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues • Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance