About the Team:
In Global Revenue Enablement (GRE), we focus to provide a scalable knowledge and skill foundation that drives predictable and measurable growth for our Global Revenue organization.
 
About the Role:
If you see yourself as a self-starter who simply loves to crunch the data and constantly improves their analytical skills, we would love to hear from you.
 
We are currently seeking a Data Analyst focused on reporting, analysis and project work. You will be teaming with other data analysts in supporting GRE, focused on the measurement strategy (tracking and reporting on significant metrics),  informative analysis (providing actionable insights that drive our business decisions) and project work (enhancing the way measurement and reporting teams support the GRE business).
 
Responsibilities

• Capture requirements to understand what business problems we are trying to address, including key questions to be answered by the reporting tool and how the tool will support the business process.
• Clean, transform, and prepare sales performance data for analysis through SQL.
• Perform administrative data management - track competition of learning items, organize survey responses.
• Develop and maintain informative reports and dashboards in Tableau/ Sigma /Google Sheets(MS Excel)/ Visuals into Google Slides / Workday Reporting
• Be an expert in troubleshooting and resolving dashboard and/or data issues.
• Dive into datasets to identify trends, patterns, and anomalies.
• Present findings and recommendations in a clear and concise manner including Visualization features of tools
• Leverage AI tools for accelerated working / problem-solving / improved efficiency
• Thoroughly QA new and modified dashboards for accuracy and functionality.

  
Basic Qualifications

• 3+ years of work experience in business intelligence, analytics, or quantitative analysis related fields.
• 3+ years experience building visualizations using Tableau, Sigma or Power BI.
• 3+ years experience with SQL and data preparation.

 
Other Qualifications

• Be able to work independently or in a team environment
• Experience in statistical languages such as R or Python for sophisticated data analysis would be an asset.
• Experience in analytics engineering with a Data Build Tool and Snowflake would be a plus.
• Proficiency in Google Forms, SmartSheet, and Salesforce reporting
• Be process- and detail-oriented, meticulous, a critical thinker and be performance driven.
• Clear interpersonal and communication skills
• Bachelor’s degree or equivalent experience in computer science or engineering or a related field is beneficial