Hired and support a team of 10 data engineers, data scientists, and data analysts.

Hired and supported a team of data engineers, data analysts, and data scientistsAreas of support: Growth, Customer Support, Device, IoT, Mobile, Operations, Supply ChainDeveloped full customer journey data set from onboarding through device and mobile engagementAutomated data insights for all support groupsBuilt out data engineering stack leveraging various tools: S3, Glue, DBT, Redshift, Airflow, Pyspark, and PythonAutomation and visualization of insights via Tableau, Slack, and Google SheetsDeveloped IoT device insights to drive connectivity improvements by 20%

Data Engineering, Data Analytics, Data Science

-Developed product and marketing data etls, dashboards, and recommendations using SQL (vertica, postgres), Python (pandas, numpy, scipy, psycopg2, vertica_python) and Tableau. -Created registration source logic utilizing web and email log data to determine initial customer journey-Executed A/B significance testing on marketing campaigns to help drive revenue improvements of 30-40% -Implemented a customer recency, frequency, monetary score algorithm to prioritize marketing campaign and customer support initiatives

Analytical Insights using SQL, Python, and Tableau

-Hired and managed teams of 3-5 analysts focused on improving operational speed and cost efficiency, scalable reporting, and actionable insights-Developed a top competitor candidate conversion optimization recommendation for CEO audience-Drove a Referral Channel engagement strategy and interactive dashboard deliverable used by 25k+ Googlers-Developed reporting and provided operational insights to drive Online Channel candidate conversion improvements-Created resourcing plans, automated reporting and optimization recommendations for clients in North America, Europe, and Asia using spreadsheets, SQL, and Tableau

-Hired and managed a team of 4 analysts-Focus Areas: Intuit.com analytics, chat analytics, web analytics insights (Adobe Analytics, Google Analytics)

-Focus Areas: Operations analytics, Pricing Optimization, Web Analytics-Hired and lead team of 20 analysts and managers-Initiatives: Global analytic solutions, yield management, and channel optimization using Qlikview, RateGain, Adobe Analytics, and Google Analytics

-Site optimization recommendations driving +50% conversion increase; tools: Google Analytics, Google Website Optimizer, and Google Adwords-Recommended SEM and SEO improvements to improve unique visitor volume by +25%-Automated and managed a suite of executive dashboard reports using Business Objects, Sharepoint, and Live Office-Created and maintained a series of Marketing channel ROI models

-Drove strategy to improve ad sales sellout rate (+20%) and CPM rate (+19%); tools included DART, DoubleClick, and Operative-Developed website revenue forecasting model using WebSideStory, Google Analytics, Google AdSense, and Adobe Analytics

-Developed customer loyalty metrics using Adobe Analytics and Google Adsense-Developed ad-hoc analyses using Hyperion Essbase and Siebel Analytics-Created weekly, monthly, and yearly site performance metric analyses (US, DE, GB)