• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Build reporting & monitoring dashboards for stakeholders to manage their daily business process. • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Modelled commitment to company values and commitment to promoting and developing internal and external knowledge around data collection and reporting best-practices. • Provide project scoping and advice on best-approaches to reporting and data practices. • Is proactive in developing new reporting products or services that are useful to clients working in digital community engagement that are repeatable and scalable across the business. • Driving revenue growth through the creation and adoption of reporting services and products • Working with internal stakeholders to develop reporting services that demonstrate the robustness of Engagement HQ. • Develop high-quality interactive custom reporting dashboards for Engagement HQ clients to enable them to better analyse their community engagement data. • To grow revenue from Engagement HQ Services through custom reporting products.

• Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide real-time data solutions for our product • Write clean scalable code using Go, Typescript / Node.js / Scala / python / SQL and test and deploy applications and systems • Solve our most challenging data problems, in real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources. • Be part of an engineering organization delivering high quality, secure, and scalable solutions to clients • Involvement in product and platform performance optimization and live site monitoring • Mentor team members through giving and receiving actionable feedback.

• Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA • Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed • Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes • Partner with subject matter experts to deliver quality, actionable findings • Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership • Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions • Advocate for and help implement best practices in data management and analytics to drive continuous improvement • Effectively communicate with team members while working remotely • Perform additional duties as assigned