• Created several full stack applications using React, Node.JS, Express, Ruby/Sinatra, SQL, MongoDB• Built interactive web pages using JQuery, HTML/CSS, Bootstrap• Completed projects can be seen at https://www.danielbecker.rocks or https://github.com/dbecker92691

Managed 65-million-dollar budget annually in marketing programs.Developed and implemented processes for technical analyst team in core business activity.Provided information expertise for internal departments including marketing, client success, client partnerships, engineering, and product. Participated in development of special side projects including Native In-app Video program and new-hire training.Analyzed shopper data and information to produce targeting principles by breaking down client requests and applying them to shopper purchasing data.Used computer systems such as Active Admin, Google Doubleclick for Publishers, Salesforce, Looker and MySQL to set up daily app functions.Established dozens of long-range objectives and specified strategies such as implementing a ticketing system and error tracking to achieve a team wide accuracy rate of 98%.Interviewed, selected, and hired 3 Jr. Technical Analysts into the organization.Kept up-to-date on 5-10 database management programs a year to apply the latest processes and keep our app running smoothly.

Responsible for the day to day creation and maintenance of rebates within the Ibotta application.Provide a strong technical support system for the Client Success Team including, low level data analytics, ad server structure and marketing structure.Conducted quality control tests, analysis, and inspections of over 500 monthly campaign’s quality and performance.Kept up-to-date on 5-10 database management programs a year to apply the latest processes and keep our app running smoothly.Used computer systems such as Active Admin, Google Doubleclick for Publishers, Salesforce, Looker and MySQL to set up daily app functions.Analyzed shopper data and information to produce targeting principles by breaking down client requests and applying them to shopper purchasing data.