Defining key business challenges/opportunities and identifying root causes through proactive diagnostic analyses; translating findings into practical, scalable business models that will address business challenges/opportunities.
In this role, the selected candidate will build models and perform predictive analytics for customer engagement, lead scoring, customer segmentation, down-stream impact (DSI), customer churn, lifetime value (LTV) cross-sell recommendations, win-loss analysis etc.
In this role, the selected candidate will ensure the SAS platform operates as a highly efficient platform, which meets-or-exceeds service level agreements (SLAs) and operational readiness requirements.
Participate in the design, implementation and operations of emerging business and engineering perspectives, dashboards, pipelines and ad-hoc data sets. Partner with analysts, data scientists, engineers and dev ops team to prioritize, triage, and resolve live site and quality issues.
The Business Intelligence (BI) Manager is responsible for providing daily oversight, management, and quality assurance of BI business analysts supporting care delivery and health plan operations and performance.
As the leader of this team, you will hand pick and build a team of business intelligence engineers and analysts to work in a collaborative environment with our broader team of data and application engineers, product owners, designers and strategists.