Brett Long Email & Phone Number

Kansas City, Ks, Us

Lead a team analytic professionals responsible for the creation and enhancement of the Enterprise Data Warehouse and Business Intelligence platforms in addition to the execution of a legion of advanced analytical and financial analyses.• Manage, configure and enhance both on-premises and SaaS business intelligence environments containing Financial, Research, Academic, HR, Faculty and Operations applications. These applications support hundreds of users and tens of thousands client sessions per year improving organizational efficiency.• Responsible for the establishment and population of the Enterprise Data Warehouse (EDW). Content development activities consist of collaborating with IT to leverage APIs and team developed RaaS reports to extract data from a myriad of remotely hosted systems including Workday. In addition, ETL code is developed, deployed, scheduled and maintained within the team to create a data mart that supports the majority of operational analysis activities across the Medical Center.• Leverage statistical techniques/analytical skills, programming skills and business acumen to support innumerable projects including employee attrition and compensation, funding utilization, facilities cost allocation and space utilization analyses. These efforts optimize decision making at all levels of the institution.

Led a team of 3 analysts, that along with myself, provided key analytical, strategic and decision support leading to improved decision making, value creation and growth in margin through revenue optimization and cost savings. Efforts included, but were not limited to:- Pricing Analytics and Strategy- Statistical Modeling- Client Lifetime Value- Client Profiling & Segmentation- Compensation Analysis and Performance Target Setting- Program Measurement & Analysis

Led a team of 2 analysts, who along with myself, where responsible for utilizing advanced analytical and statistical techniques in conjunction with business acumen to develop and implement processes to improve customer retention and provide decision support to the customer retention organization. Efforts included, but were not limited to:- Statistical Modeling (client attrition, product upsell/cross-sell, etc...)- Rate Plan Optimization- Client Profiling & Segmentation- Program Measurement & Analysis

Ms, Statistics

Ba, Mathematics / Actuarial Science