data.aiSenior Manager, Data Analytics
May. 2022Remote๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ: Established team as an agile and trusted data provider ingesting enterprise data (100G per day) into/out of AWS Redshift and Snowflake cloud data warehouses, and business systems.
๐ฃ๐ฒ๐ผ๐ฝ๐น๐ฒ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐: Managed a team of five data engineers and analysts. Encouraged individuals to attend training programs, located job shadowing opportunities, and shared MBA knowledge. Held monthly fun team meetings.
๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐: Implemented Catalyst application for customer success team and drove customer engagement. Used by 75% of the CSMs and increased engagement by 10%.
๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐: Implemented Amplitude to replace HEAP for product analytics. Owned application and security. Created new analytics and rebuilt existing ones for customer success and product managers to understand customer behavior, better engage with customers, and drive strategic objectives. Used by 75% of the customer success team and 50% of the product managers. Zero downtime during implementation.
๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐: Managed the technology stack (AWS RedShift, Snowflake, Tableau, S3, Amplitude, SQL) for data.aiโs business intelligence tools and business technologies (Salesforce, Catalyst).
๐ฆ๐ค๐: Used SQL extensively to identify, locate, and analyze data across the enterprise. ๐๐ฎ๐๐ฎ ๐ช๐ฎ๐ฟ๐ฒ๐ต๐ผ๐๐๐ถ๐ป๐ด: Acquired, transformed, and integrated data between product and business applications, principally Salesforce, into Redshift and Snowflake data warehouses to increase and understand user engagement, enabling customer retention and marketing strategies.
๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ-๐ฆ๐ผ๐น๐๐ถ๐ป๐ด: Drove process improvements by reducing data warehouse load failures by 98% over 5 months, improving data reliability and accuracy across the enterprise.
๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Partnered with go-to-market, RevOps, customer support, engineering and product to align on analytics roadmaps.