Data Analyst, GTM Analytics

Role Overview

The Data Analyst acts as a consultant to both sales and company leadership, providing strategic, analytical, and operational support across multiple global regions and sales teams. The role involves solving complex problems and generating data-driven insights that directly impact revenue and solve pain points within the sales ecosystem.

What You Will Do

The Data Analyst will help the Field Services org operate more effectively by conducting quantitative research in key areas such as retention and churn analytics, product adoption analytics, forecasting, performance management, and territory design. They will also innovate proactively with their unique mix of data and business knowledge, democratize insights by partnering with systems, operations, and analytics teams, and ensure data quality with automated, documented, tested data pipelines.

Why It Might Be a Fit

The ideal candidate will have 2-5 years of experience conducting data analysis and a proven track record of those insights driving business impact. They will be able to collaborate with a variety of backgrounds across business and technical functions, both as partners and stakeholders, and will have experience working with a complex set of stakeholders, including executives, go-to-market field teams, and operations teams.

Requirements

• 2-5 years conducting data analysis and proven track record of those insights driving business impact
• 2-5 years of designing and building dashboards used by large audiences for extended periods of time (Tableau preferred)
• Preferred experience building robust data pipelines in Python and SQL across various data warehousing technologies (Redshift/Snowflake preferred) and system APIs (Salesforce, Qualtrics, Tableau, etc.)
• Experience conducting innovative research in a business context
• Experience collaborating with systems and operations teams to fully operationalize insights and democratize data
• Experience working with a complex set of stakeholders, including executives, go-to-market field teams, and operations teams
• Degree or relevant experience with a quantitative or systems focus (e.g. Informations Systems, Computer Science, STEM, Business Analytics, Finance, Data Science

Benefits

• Experience Bonus: A unique bonus given to each employee to have an experience they couldn’t have otherwise
• Wellness Reimbursement: This can be put toward wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and more.
• Q Mentor Program: Looking to grow in your career? Get matched with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.
• The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader.

Tagged as: Data Analysis