• Lead cross-functional analytics org that supports marketing, product, and engineering• Key partner to senior leadership in a truly data driven business• Oversee data engineering (data services) prioritization In my tenure:• Predictive analytics enabling positive ROI for over $600MM in spend• Analytics at scale - 1B users across 200 web products worldwide• 4.5% lift to LTV using data to challenge the status quo and drive optimization• Supported over 10% LTV lifts/yr and 8.5% CVR lifts/yr from PMs and Marketers• Democratized Ask Apps data and enabled 2x as many tests per analyst

• Promoted to oversee analytics for product, search, and platform teams in addition to previous support of marketing, marketing ops, and compliance teams • Managed high performing team of 6 analysts and data expertsAccomplishments:Best known for adapting LTV and marketing/executive guidance during covid related economic and search behavior swings

• Managed a team responsible for competitive intelligence and hotel pricing analytics• Defined supply and pricing opportunities by performing trend analyses, feature evaluations, and statistical testing. Iterated on existing projects and tests to drive measurable growth.• Developed tools to distill actionable insights from large competitive and internal datasets• Owned tableau systems for performance reporting• Owned vba / html / sql code for b2b automated rate communication Accomplishments:☞ Competitive intel algorithm affectionately called "Allen" - ask me about it!☞ Identified opportunity to update stale hotel inventory labels. Reduced a lengthy manual process to 1 week using a script. Over 2K properties updated increasing net rev in those markets by 10 basis points last trending to $3MM/yr☞ Mapped disparate wholesale inventory data feeds resulting in 5k new sellable rates

• Promoted to management position within first year

• Synthesized large datasets into analytic insights (trends, variance, significance, and overall financial implications) in high impact BI projects to drive profitability and reduce user churn• Developed metrics to identify operational opportunities and evaluate performance• Forecasted revenue and modeled sales velocity, client retention, bill rate and LTV• Automated weekly, monthly and real-time reportsAccomplishments:☞ Built dashboard for sales team - defined available account opportunities and value☞ Provided financial forecast for Felix under proposed sales restructure to key stakeholders

• Recommended, drove and tested functionality changes surrounding data• Informed data-driven strategic business solutions through investigations into industry standards, price points, sales processes and client experience. • Leveraged SQL, primary research strategies, and external secondary sources in analysesAccomplishments:☞ Industry research and product analysis by market to automate client facing ROI reports☞ Research and trend identification instrumental in the adoption of a new client on-boarding experience attributed with a notable reduction in subscriber churn in the first 3 months of service

• Took on sales analysis at its inception and became responsible for its establishment and growth• Promoted to lead research initiatives and train data collection/compliance teams

• Responsible for special education students requiring one on one support The mission of the Burlington School District is to ensure that all students achieve their highest intellectual and personal potential, and are prepared to contribute as global citizens in the 21st century.