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.

• Partner directly with functional customers to capture business needs, translating requirements into technical solutions • Serve as the bridge between technical teams and non-technical business leaders, ensuring alignment and clear delivery schedules • Architect and maintain Power BI dashboards (and optional Tableau reports) • Design and deploy custom business applications using Power Apps to streamline data collection, user inputs, and operational workflows • Perform deep-dive exploratory data analysis using SQL and Python to identify trends and anomalies • Work within the Azure cloud environment to ensure secure, compliant, and optimized data hosting and processing • Maintain rigorous data quality standards and technical documentation

• Analysing large and complex datasets to identify trends, patterns, and opportunities for business improvement. • Creating dashboards, reports, and data visualisations using tools such as Tableau, Power BI, or Looker to communicate insights effectively to stakeholders. • Collaborating with product, engineering, operational, and clinical teams to define reporting requirements and ensure data accuracy and consistency. • Supporting the development and optimisation of data models and data warehouse structures to improve analytical performance and scalability. • Performing statistical analysis to support forecasting, experimentation, and data-driven decision-making. • Translating business questions into analytical frameworks and delivering actionable recommendations based on data findings. • Monitoring data quality and supporting governance processes to maintain reliable and accurate reporting. • Working with cloud-based data platforms and warehousing solutions such as Snowflake to support analytics and reporting workflows. • Supporting ETL and data transformation processes in collaboration with technical teams and data engineers. • Communicating complex analytical findings clearly to both technical and non-technical stakeholders. • Collaborating with stakeholders to prioritise analytical initiatives and align reporting with business objectives. • Assisting with documentation, reporting standards, and best practices for scalable analytics processes. • Working closely with client teams and cross-functional partners to support successful project delivery and measurable business outcomes.