Revenue Operations Analyst

• Jan 2022 - Present

Sales and Operations Analyst

• Oct 2020 - Dec 2021

o Managed Judopay’s Salesforce Org as their Administrator and Developer. • Built my Salesforce proficiency from the ground up using trailhead and online forums. • Managed Formstack for Salesforce, minimizing manual data entry and human error. o Worked on cross-departmental projects, gaining exposure to different team members. • Automated the finance team’s monthly invoice generation process. • Created and deployed Judopay’s help center using Salesforce Digital Experiences. • Developed a demo for adding OpenBanking to our product offering during a hackathon. • Improved productivity by automating numerous processes and adding new functionality. o Worked closely with partners to reduce average onboarding time from 10 days to 3. • Developed a program that automated payment flows, reducing testing times by 75%. • Built a pricing calculator and a tool that compared forecasted vs actual revenues.

Information Technology Consultant

• Jun 2019 - Aug 2019

o Used VBA and Excel to automate pricing of goods and develop a stock control system. o Performed administrative office tasks. o Created a template to automate the pricing of goods, taking 20% less time. o Used VBA and Excel to automate pricing of goods and develop a stock control system. o Performed administrative office tasks. o Created a template to automate the pricing of goods, taking 20% less time.

Data Analyst

• Jul 2018 - Sep 2018

o Automated the process that aggregates and organizes data collected from the application 'Pampasy' according to date and user names on excel, making it 30% faster. o Brought awareness to their problem of low user retention through analyzing user activity. o Found outliers in data that represent a potential boost in profits of over 10%. o Constructed linear regression models to identify variables affecting activity. o Presented findings through formal reports and presentations. o Automated the process that aggregates and organizes data collected from the application 'Pampasy' according to date and user names on excel, making it 30% faster. o Brought awareness to their problem of low user retention through analyzing user activity. o Found outliers in data that represent a potential boost in profits of over 10%. o Constructed linear regression models to identify variables affecting activity. o Presented findings through formal reports and presentations.