Dana Reeves

Principal Systems Engineer - Data and Analytics in the Cloud @SAS

Scottsdale, AZ, US
EMAILS
d••••••••@sas.com
MOBILE NUMBERS
+14•••••••68

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WORK HISTORY

Jan 2012 — Present

Principal Systems Engineer - Data and Analytics in the Cloud @SAS

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Remote - Scottsdale, AZ, US

Experienced enterprise cloud, AI, and data science software professional that helps create competitive advantage through analytics to healthcare and financial services organizations. Always looking for customer sales opportunities to drive revenue growth.Trusted advisor for domain expertise and technical knowledge to the sales account team for customers in financial services and healthcare. Worked closely with a customer/partner as the technical account manager to develop SAS solutions in Amazon Web Services for financial analyses using credit bureau data. Delivered customized C-level presentations and solution demonstrations to support the software sales cycle and help form partnerships with customers. Strategized with the sales account team on objectives for customer meetings and provided functional solutions to leadership for sales opportunities. Helped the SAS business units achieve 100%+ of the targeted sales goal for 20••••14, 2016, 2018, and 2019. Worked closely with users on data strategy, discovery, and analysis using new software to develop innovative solutions. Was awarded the 2014, 2018, 2019, and 2020 SAS Sales Support Excellence award. Recently awarded the SAS 2021 CEO Award of Excellence.

EDUCATION

1987 — 1992

Iowa State University

BS, Statistics

SKILLS

Statistical ModelingSas ProgrammingSegmentationMachine LearningBusiness IntelligencePharmaceutical IndustryAnalyticsPredictive ModelingData ManagementData AnalysisAnalysisPredictive AnalyticsEtlEnterprise SoftwareData MiningAccessStatisticsData ModelingData IntegrationDatabasesData WarehousingBusiness AnalyticsSasOlapForecasting

ABOUT DANA REEVES

Experienced Solutions Architect with a demonstrated history of working in the computer software industry. Strong engineering professional skilled in Analytical Skills, Statistical Modeling / Predictive Modeling, and Databases.

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