Senior Data Analyst – GTM Analytics
| Company | Qualtrics |
|---|---|
| Location | Provo, UT, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
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)
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. Proactively work with internal stakeholders to prioritize needs and/or requests on a weekly basis
- Transform complex data sets into actionable insights using analytical, visualization, and data tools such as Tableau, Excel, Python, R, MySQL, etc. Create queries, views, reports, and easy-to-consume dashboards/visualizations
- 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 (ability to consult across the business): taking projects from start to finish with high quality and impact, acting as the “subject-matter-expert”, and collaborating with stakeholders to ensure the analytics are being used to drive business outcomes
Preferred Qualifications
- 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.)