About the position
The Senior Data Analyst acts as a consultant to both sales and company leadership. You are responsible for providing a wide range of strategic, analytical, and operational support across multiple global regions and sales teams. In this role you will be responsible for solving complex problems and generating data-driven insights that directly impact revenue and solve pain points within the sales ecosystem.
Responsibilities
- Help the Customer Success 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.
- Innovate proactively with your unique mix of data and business knowledge.
- Democratize insights by partnering with systems, operations, and analytics teams to design and build data delivery mechanisms (dashboards, automated reports, etc.).
- Ensure data quality with automated, documented, tested data pipelines built in Python and SQL.
- Perform quantitative and qualitative analysis that leads to actionable insights, assisting stakeholders throughout the business on special projects and reports.
- Handle inbound requests from field teams for data analysis, data requests, and decision making support.
- Transform complex data sets into actionable insights using analytical, visualization, and data tools such as Tableau, Excel, Python, R, MySQL, etc.
- Own end-to-end problem solving efforts from the discovery & exploration phase through to implementation.
- Own an entire area of go-to-market operations that flexes depending on need and urgency.
Requirements
- 3-7 years conducting data analysis and proven track record of those insights driving business impact.
- 3-7 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.
