• Supports Entrepreneurs’ Organization in data analytics • Connects business reporting needs with data systems • Works with SQL, schemas, and transformation logic • Investigates differences between source systems and reporting • Analyzes performance, variances, or anomalies on core metrics • Maintains documentation for data flows and transformation rules • Leads complex analyses for leadership on operational metrics • Supports BI and Survey colleagues on data and metric questions

• Build, maintain, and improve Engine X's core performance dashboards; covering card activation rates, spend volume, gross booking value, rewards utilization, spend category breakdowns, and cardholder retention. • Track and report on key Engine X metrics on a regular cadence, ensuring stakeholders across product, finance, and leadership have accurate and timely visibility into card performance. • Investigate data anomalies and surface findings clearly; when a metric moves unexpectedly, you diagnose it, document what you found, and communicate it before it becomes a question someone else is asking. • Write and maintain complex SQL queries to extract, clean, and aggregate data from Snowflake across card transaction logs, booking activity, rewards ledger data, and cardholder activation events. • Build and document reusable data models and reporting assets that the team can rely on — well-structured, well-named, and built to last beyond the person who created them. • Support A/B tests and product experiments by setting up the analytical framework, pulling results accurately, and presenting findings in a format that informs a clear decision. • Partner with senior analysts and product managers to scope analytical requests, understand what's being asked, and deliver work that's precise, complete, and ready to act on. • Collaborate with analytics engineering and data engineering to flag data quality issues, validate pipeline outputs, and ensure the underlying data powering Engine X reporting is reliable. • Develop and maintain clear documentation for the metrics and models you own, definitions, logic, known limitations, and refresh cadences, so the team always knows what the numbers mean.

• Act as the bridge between complex business challenges and innovative technical solutions. • Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics. • Understand enterprise business strategy and align solutions to clear business outcomes. • Map “As-Is” and “To-Be” value streams and business processes. • Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows. • Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization. • Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features. • Capture business rules, decision logic, and user journeys. • Define data requirements (sources, quality, latency, privacy constraints). • Specify model behavior, guardrails, and human-in-the-loop interactions. • Navigate complex organizational hierarchies and goals to build consensus. • Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications. • Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).

• The Transition Manager is responsible for planning, coordinating, and governing the end-to-end transition of data and reporting services from development teams and partners into a new managed service • Define and manage the transition plan, governance cadence, status reporting, RAID management, and phase exit readiness across contracting, mobilisation, transition, cutover, and stabilization in collaboration with our AMS partner • Coordinate stakeholders across internal teams, incumbent suppliers, incoming service providers, and platform partners to ensure timely completion of transition dependencies • Lead the end-to-end knowledge transfer process for in scope services, covering data models, platforms, technical components, and ways of working • Define the overall reporting/analytical services and capabilities model in support of the D&A strategy and operating model • Coordinate transition cutover activities, including access readiness, operational handover checkpoints, communications, and hypercare/stabilisation planning