• 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

• Develop, execute, and optimize SQL queries to retrieve data from relational databases and big data environments. • Analyze datasets to identify relevant trends, patterns, and correlations. • Synthesize complex findings into structured reports and presentations, communicating technical results to technical and non-technical stakeholders clearly and effectively. • Partnering with cross-functional teams and stakeholders to identify core business questions and translate complex datasets into actionable analytical insights. • Ensuring data quality, governance, and compliance across all systems. • Working with and supporting Technical Leaders in project execution and timely delivery. • Collaborating with client teams.

• Responsible for collecting, compiling, and analyzing large volumes of unstructured data, interpreting them and then assisting in the creation of strategies and decision-making to promote business development. These data may originate from diverse sources and be related to many different types of businesses. • Responsibilities: - Familiarity with statistics. - Creation of queries in databases. - Ability to interpret data. - Observance of information classification: Clicksign 982e0c61-cbdf-4f08-99a1-c65a43aec050 ARP No. 161/2025 SICLG 61193 LC 210/2024 - CECOT 76/137. - Experience coding data query scripts (SQL-like).