Data Analyst, GTM Analytics
When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.
Why We Have This Role
How You’ll Find Success
- Data-oriented, with experience solving business problems using data tools and methodologies
- Innately curious with a drive to solve problems at their core, not just answer surface-level questions and apply band-aid fixes
- Able to collaborate with a variety of backgrounds across business and technical functions, both as partners and stakeholders
- Focused on results, even if that occasionally requires work outside traditional analyst job responsibilities
- Able to learn quickly and take initiative
How You’ll Grow
- Grow your data analysis, problem solving, and communication skills across while developing expertise in sales and go-to-market operations
- Learn how global sales, field services, and marketing teams operate, and improve the data/systems/insights that drive their growth
- Design processes and systems based on the insights you help uncover
Things You’ll Do
- 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
- 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 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
What We’re Looking For On Your Resume
- 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
What You Should Know About This Team
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GTM Planning & Insights plays a critical role in managing and designing the operating rhythm of our global go-to-market field teams, including territory design, pipeline management, forecasting, customer health, performance management, and customer journey analytics.
- The team's work and output scales across hundreds of individuals within the organization.
- These efforts directly support and drive over $1B in revenue per year.
Our Team’s Favorite Perks and 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.
Skills
As published by greenhouse · 10 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (3)
- LinkedIn Profile optional
- Internal purposes only - no need to answer optional
- If you answered yes to being related to a current Qualtrics employee, please specify name and relationship (N/A if not applicable).
Pick from a list (7)
- Where have you seen Qualtrics prior to applying? Select all that apply.
- Are you of legal age to work in the country in which this position is based?
- Are you legally authorized to work in the country in which this position is located?
- Do you now or will you in the future require Qualtrics to commence ("sponsor") an immigration case in order to employ you (for example, an H-1B, TN or other employment-based immigration case)? This is sometimes called "sponsorship" for an employment-based visa status.
- Are you willing to undergo a background check as part of this hiring process?
- Have you ever worked at Qualtrics or Press Ganey Forsta in the following capacities? (check all that apply):
- Are you related to a current employee of Qualtrics? A "relative" is defined as one of the following: spouse or significant other, parent/step parent, child/step child, grandparent, grandchild, brother, sister, uncle, aunt, nephew, niece, first cousin, in-laws (mother, father, sister, brother, daughter, son).