• Data Process Automation (40%): identify and automate key data processes within the Sales department to enhance operational efficiency and accuracy
  • Collaboration (30%): work closely with business teams to understand the processes inside out, and with Data Asset Managers, Data Engineers, and Product Managers to determine automation opportunities on current workflows
  • Research and Development (20%): explore new tools and techniques in data automation, staying updated on industry trends to recommend innovative solutions
  • Documentation (10%): support the documentation of automated processes and workflows, ensuring clarity and accessibility for team members.