• Support supply chain operations by collecting, validating, and maintaining critical datasets required for upcoming initiatives and launches • Build, maintain, and improve Bills of Materials (BOMs) to ensure supply chain data accuracy • Develop and maintain Power BI dashboards to provide operational and supply chain insights • Analyze inconsistent or incomplete datasets and implement improvements to data quality and reliability • Coordinate changes to databases, including testing and implementation of updates • Design, implement, and maintain database structures and ETL processes to support large‑scale data needs • Write logical and physical database descriptions and define identifiers for database management systems • Modify and optimize existing databases and reporting processes as business needs evolve • Partner with technical, business, and operations stakeholders to define requirements, metrics, and reporting standards • Test data systems and reports, troubleshoot issues, and implement corrections as needed

• Ownership of Data Analysis & Visualization: Monitor and improve critical KPIs such as fraud costs, chargeback volume, fraud rates and revenue leakage • Strategic Communication: Regularly communicate outcomes and insights to cross-functional stakeholders, including senior leadership, to guide strategic decision-making for process and performance improvement • Development of Single Source of Truth (SSOT) Dashboards and Reporting Models: Work alongside DS & Broader Fraud & Identity analysts to implement robust models in DBT and Snowflake, and design dashboards that provide a unified view of business-critical Shopper fulfillment, Shopper Payment and PoS (point of sale) Checkout data • Collaboration on Roadmaps: Work with Product, Data Science, and Xfn Analytics teams to understand growth and risk factors related to new and future fraud vectors • Operational Data Analysis: Analyze shopper behavioral signals to identify anomalous patterns indicative of fraud or policy abuse • A/B Testing & Experimentation: Design and conduct A/B and multivariate tests by developing test plans, defining success metrics, analyzing, and transforming data into actionable insights • Xfn Collaboration: Collaborate with the Engineering and Product team to instrument new product features and ensure great event tracking and data integrity • Automation and Reporting: Build automated reporting systems to keep operations leaders informed of trends, variations, and opportunities across geographies and teams

Role Description The Analytics Team delivers impactful data analytics and business intelligence solutions by closely collaborating with all areas within IntelliScript. By partnering with stakeholders, we precisely define our data requirements and provide tailored solutions that drive intelligent decision-making. We take pride in creating dynamic, user-friendly visualizations that effectively communicate insights to both technical and non-technical audiences. Our team also develops and refines complex data models to conduct comprehensive analyses, uncovering intricate trends and insights. These efforts enable us to offer actionable recommendations based on our expert findings. What you will be doing - Partner with data engineers, business analysts, and leadership to define data needs and deliver tailored solutions - leveraging automation and GenAI where appropriate to accelerate insight delivery. - Own analytics projects end-to-end, continuously improving delivery speed, quality, and scalability through automation and thoughtfully applied GenAI. - Create dynamic, user-friendly visualizations in various BI tools to communicate insights to stakeholders (both technical and non-technical). - Conduct in-depth data analyses to identify complex trends and insights, and provide actionable recommendations based on findings. - Develop and refine complex data models to support reporting and advanced analytics. - Actively participate in peer reviews to ensure quality, consistency, and shared learning across the team. - Leverage Databricks, BI tools, and emerging AI-powered capabilities to advance analytics maturity and team effectiveness. Qualifications - Demonstrated experience delivering end-to-end analytics work, with strong analytical skills and sound problem-solving judgment. - 2+ years of hands-on Databricks experience applying data transformation, workflow automation, data modeling, and reporting in analytics workflows, with a commitment to staying current with Databricks’ evolving platform, including AI- and automation-driven capabilities. - 4+ years of hands-on experience with data visualization software (Power BI and/or Quicksight is a plus). - Versatility in using programming languages and modern AI-assisted tools to improve analysis speed, automation, and productivity. Requirements - Seeks out input from others, shares insights and opportunities. - Open to peer review, resilient, and able to absorb and learn from constructive feedback. - Excellent verbal and written communication skills. - Proactively and positively resolve problems and overcome challenges. - Loves to learn and is naturally curious, seeking out new tools and approaches including responsible experimentation with AI, to continuously develop skills and improve how work gets done. - Self-motivated, with the ability to work independently and in teams, with or without supervision. - Comfortable operating in ambiguity by breaking vague problems into structured approaches, hypotheses, and experiments. Wish list - Strong ability to identify, evaluate, and reasonably apply Generative AI to analytics workflows, decision support, or process efficiency, while understanding appropriate guardrails and human review. - Background in healthcare data, insurance, or actuarial fields is highly valued. - Hands-on data engineering experience. - Certifications (e.g., Databricks Certified Associate, Power BI certification, AWS). - PowerBI experience demonstrating advanced proficiency in DAX, Power Query, data visualization, and report automation. Location This job posting is expected to close on August 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $71,700 - $161,575. For candidates residing in: - Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia: - $82,455 - $131,905 if overall experience is less than 5 years; - $97,865 - $161,575 for experience greater than 5 years. - All other states: - $71,700 - $114,700 if overall experience is less than 5 years; - $85,100 - $140,500 for experience greater than 5 years. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 paid holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

• Become an internal SME for the US MGA & Program business, taking charge of gaining a deeper understanding of the products and associated data, and making determinations on data interpretation for downstream onboarding, including validating data accuracy and quality. • Expand and refine existing data standards for MGA & Program business by collaborating with business and technology teams to maintain data dictionaries and data templates. • Work closely with Program Managers to negotiate and gather the required policy, premium, claims, and risk exposure data from Brokers, MGAs, Coverholders, or TPAs and escalate issues to internal teams where necessary. • Manage the end-to-end data onboarding process for the Bordereaux Management System (BMS) including but not limited to: • Analysing and mapping data to verify the accuracy and completeness of data that has been collected. This may involve checking for duplicate entries, missing information, or incorrect figures. • Work with data engineering teams to integrate data into our Bordereaux Management System (BMS). • Perform acceptance testing on data that has been loaded to ensure it reconciles to source files and aligns to the mapping and validation rules that have been defined. • Monitor and address data quality issues to ensure compliance with agreed standards and timelines, either by resolving them internally or contacting partners for corrections. • Collaborate with our internal Business Intelligence (BI) team and key business stakeholders to develop insights, analytics and reports to: • Identify trends, potential risks, and areas for improvement with regards to the overall performance of a portfolio. • Monitor whether Brokers, MGAs, Coverholders, or TPAs are meeting the terms and conditions of the Program Management Agreements (PMA) and Binding Authority Agreements. • Meet the needs of regulators, reinsurers, market bodies and internal compliance teams, including ISO/ISS, Lloyds, premium tax etc • Implement continuous improvement processes to increase efficiency, reduce errors and improve oversight & decision making. • Develop and enforce best practices in areas of master and reference data management, data mapping, data modelling and data integration with regards to the Bordereaux Management System (BMS) • Ensure process and training documentation in relation to Bordereaux Management Procedures are kept up to date. • Stay aware of market standards (including ACORD and Lloyds), changes to bordereaux data and processing requirements.