• Responsible for delivering actionable insights that enhance client value, drive business growth, and improve operational efficiency. • Shape and execute the organization’s benchmarking and survey strategies for non-medical employee benefits, including insurance products (Life, AD&D, Disability, Dental, Vision, Voluntary) and related employer practices. • Develop scalable frameworks, innovative approaches, and data-driven solutions aligned with organizational goals and market trends. • Act as a strategic advisor to ensure benchmarking and survey initiatives remain relevant, impactful, and collaborative across internal teams and external stakeholders. • Partner across practices to understand market dynamics and business needs of clients as it relates to structured and unstructured data. • Define and lead the overall direction of client analytics, benchmarking and survey initiatives in alignment with organizational objectives and industry standards. • Leverage and elevate business intelligence solutions to deliver meaningful insights and measurable ROI for internal and external clients. • Lead projects and initiatives across areas of specialization and expertise. • Design scalable models and frameworks that support current and future-state business needs. • Make recommendations to leadership for key areas of investment in tools, technologies and other infrastructure. • Serve as team leader for Analytics Associate, providing direction to ensure seamless execution of benchmarking deliverables. • Foster a culture of collaboration, accountability, and continuous improvement. • Actively engage with internal clients to understand their needs and deliver structured benchmarking and analytics information. • Provide strategic insights that inform client decisions and drive sustainable business growth. • Design and maintain analytics and benchmarking data integrity, ensuring it remains current, accurate, and insightful. • Implement innovative approaches to evolve and market data solutions as the business grows.

• Build, streamline, and automate recurring data models and reporting processes to reduce manual workload. • Own large, complex financial and operational datasets (NetSuite, marketplace reports, external files) and translate them into usable formats. • Develop sophisticated Excel and/or BI dashboards (Power BI etc.) for financial and operational performance tracking. • Partner with Finance and Accounting teams to provide analytical support for key business questions (COGS allocation, SKU profitability, channel analysis, etc.). • Support month-end and quarter-end reporting by structuring large data extracts into reconciled reporting packages. • Assist in variance analyses across sales channels, products, and cost drivers to identify risks and opportunities. • Identify inefficiencies in current manual processes and propose/implement data-driven solutions. • Support automation initiatives that enable scalability of reporting and analysis. • Collaborate cross-functionally (Finance, Accounting, Supply Chain, IT) to ensure data integrity and improve upstream inputs. • Take a leading role in ad hoc data pulls and analysis to support decision-making. • Assist in the preparation of financial presentations (financial views, slides, etc.) • Provide support for strategic projects e.g., pricing automation, channel expansion etc.

• Own the data architecture and data mapping required to support the growing B2B reporting needs • Deliver key performance insights through regular and ad-hoc analysis to drive further investment and evolution of Omada programs • Develop and support well-designed Tableau dashboards (or similar BI tools) • Organize a cross functional team to manage workstreams related to your analytics, like Performance Guarantees or Program Incentives • Work closely with various data teams to improve data quality and standardize reporting • Define operational processes and support system enhancements that drive analytics and reporting support at scale • Collaborate across multiple teams including analytics, data science, data engineering and architecture, clinical, and product • Explore and integrate applications of AI into analytics use cases

• Gathering relevant company contact information, such as email addresses, job titles, and external and URLs (i.e. LinkedIn), for cold outreach and marketing campaigns • Ensuring 100% data quality and accuracy, meticulously verifying the accuracy of the data to ensure that the data can be trusted for further use • Identifying potential leads and prospects; sourcing contact information for those parties • Assistance in the creation of marketing campaign performance reports and supporting analyses • Interpreting data, analyzing results using statistical tools, and providing ongoing reports on marketing campaign performance • Providing quality analysis and assurance for imported data from various external sources • Alignment of contact sourcing strategies with overall business goals and marketing activities • Clear arrangement of the data in accordance with the demands of various projects • Organizing CRM and contact information data into lists that are tailored to meet the data quality requirements • Periodic reviews and CRM contact database updates to ensure data accuracy and usefulness