● One of two data managers reporting to the Director of BI & Market Research and responsible for supporting MBI with quality business data including marketing and admissions data as they seek to increase enrollments between 5-10% year-over-year.
● Analyze prospective lead lists with over 275,000 contact details to remove low-quality lists and generate qualified lead sources for a campus recruitment team of 4 people.
● Drove a data cleanup of prospective lead records, identifying over 10K duplicate entries using Salesforce and Power BI in the first 60 days.
● Provide stakeholders with quality data for reports and metrics from 3 campuses and online, 44 programs, and international marketing campaigns to foster interest and grow enrollment.
● Partner with multiple business stakeholders (digital marketing, education, publishing, radio &
podcasts) to improve existing data models using Oracle PL/SQL, Power BI, DAX, and M code producing more reporting in Power BI.

● One of the two analysts who reports directly to the owner and lead analyst, and is responsible for maintaining the BigQuery data warehouse and Power BI reports and dashboards.
● Adjust, monitor, and create new ad bids and campaigns utilizing Google Ads, Bing Ads, Facebook Ads, and LinkedIn Ads while managing 3-6 figure budgets.
● Oversee a variety of client data ranging from 2-500 employees, website tracking, ad spend, and ad campaigns to deliver a 10:1 return on ad spend (ROAS) within Google Ads and Google Analytics.
● Manage ad campaigns for clients across consulting, data management and synchronization, and
technology industries within the midwestern region.
● Develop standard operating procedures for utilizing BigQuery, Power BI, and Google Analytics
reducing onboarding time by 20%.
● Generated $400K in revenue over 6 months by maximizing a multi-location senior living community
client campaign performance in Google Ads.
● Maintain an account-wide optimization score of 94%.

● On a team of 6 BI Engineers, was solely responsible for maintaining pipelines powering the entirety of the operations department (500+ employees) reports making data-driven business decisions as the company grew 8% year-over-year.
● Monitored the performance of 400+ inspectors and 100+ regional operations managers covering the contiguous US to align with the complete rollout of a Salesforce Lightning app for streamlining appointment scheduling for 25,000+ dealerships and supplemental pay for all contract inspectors.
● Created a custom pipeline to monitor company-wide adoption for inspectors app with an adoption rate of 46% in 2023.
● Continually monitor arbitration claims data to reduce expenses by 500K in 2023
● Discover hidden reporting requirements, streamline reporting procedures, and establish and maintain
dependable ETL pipelines and dataflows within DOMO resulting in $100M in revenue growth.
● Developed statistical and predictive models in Python to identify a dollar value tha

● Developed data pipeline using Python to deliver data during the year-end medicare insurance open enrollment campaign that reached 1.3M+ people.
● Engineered BigQuery data warehouse to store client data, power KPI metrics, and provide business insights, leading to company growth of 10% year-over-year.
● Presented code and findings to leadership, replacing outdated Excel files and leading to 100% adoption in 2 months.
● Developed Google Analytics dashboard for small rental property management (100+ properties) clients to track monthly guest payments and decrease service appointment response to 24-hour response time.

● Reduced monthly report delivery time by 50% by automating data gathering and ETL pipeline.
● Helped the sales team negotiate ~10% savings on contracts by leveraging Python to scrape fuel
surcharges and carrier charges from UPS and FedEx.
● Provided contract add-ons by utilizing MySQL and Power BI to templatize reports to send to parcel
(B2C) shipping clients (5.11 Tactical, Peets Coffee, Vera Bradley) increasing visibility into their business.

● Leveraged custom SQL scripts to flatten nested (10+ layers) GTM legal review workflows for television commercials to reduce bottlenecks by 10%.
● Utilized Tableau to provide a major client (220,000+ employees) with 8 dashboards distilling complex data into an easy-to-understand format.
● Developed entity-relationship diagrams and data models for developing client's (500-1000+ employees) relational database with 150+ tables and 100M+ data points.