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Senior Data Analyst, GTM Analytics

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. 

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. 

Senior Data Analyst, GTM Analytics

 

Why We Have This Role

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.

 

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, customer success, 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 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

 

What We’re Looking For On Your Resume

  • 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)

 

What You Should Know About This Team

  • 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. Our output scales across hundreds of individuals driving over $1B in revenue per year.
  • The Data Team within the Services Operations org is composed of passionate data professionals dedicated to leveraging analytics for financial success. 
  • The team values collaboration, continuous learning, and pushing the boundaries of data analytics to achieve business objectives.

 

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.

 

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. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

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What You Should Know About Senior Data Analyst, GTM Analytics, Qualtrics

At Qualtrics in Provo, Utah, we're on the lookout for a Senior Data Analyst to join our GTM Analytics team! If you're a data enthusiast who thrives on turning complex challenges into actionable insights, this could be your dream role. As a Senior Data Analyst, you'll act as a consultant not only to our sales teams but also to company leadership. Your expertise will help illuminate the path to better decision-making, ultimately contributing to revenue growth across our global operations. You will dive into exciting projects where you’ll utilize data tools and methodologies to tackle various business problems. What makes this role unique is our culture of curiosity and collaboration—it’s all about innovating with data to serve our clients better. From churn analytics to territory design, you’ll transform complex datasets into meaningful dashboards that are intuitive for our team to use. Working closely with various stakeholders, you'll ensure our data-driven strategies align with our overarching business goals while promoting data democratization across the organization. Here at Qualtrics, we value grit and determination; we encourage taking calculated risks and offer an environment that fosters growth and development. Get ready to expand your skill set, and enjoy the journey of uncovering insights that fuel the potential of our services and operations. This position also allows you flexibility in your work-life integration through our hybrid model—all as part of a team that's committed to uplifting businesses with empathy and connection. Ready to make a significant impact? Join us!

Frequently Asked Questions (FAQs) for Senior Data Analyst, GTM Analytics Role at Qualtrics
What are the primary responsibilities of a Senior Data Analyst at Qualtrics?

A Senior Data Analyst at Qualtrics is tasked with providing strategic, analytical, and operational support across various regions and sales teams. This includes solving complex business problems, generating insights that directly impact revenue, conducting quantitative research in areas like retention and churn analytics, and creating visual dashboards for stakeholders.

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What qualifications do I need to become a Senior Data Analyst at Qualtrics?

To be considered for the Senior Data Analyst position at Qualtrics, candidates should have 3-7 years of experience in data analysis and a proven track record of making actionable insights. A degree in a quantitative field such as Data Science, Business Analytics, or Computer Science is ideal, alongside expertise in data tools like Tableau, Python and SQL.

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What tools and methodologies do Senior Data Analysts at Qualtrics use?

Senior Data Analysts at Qualtrics frequently utilize a variety of analytical tools including Tableau for dashboard creation, Python for data pipelines, SQL for querying databases, and Excel for detailed analysis. Familiarity with data warehousing technologies like Redshift and Snowflake is also beneficial.

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How does the Senior Data Analyst role contribute to Qualtrics's mission?

The Senior Data Analyst plays a pivotal role in helping Qualtrics forge strong connections with its clients by providing insights that improve customer experiences and drive business outcomes. Through effective analysis, the role supports various functions across the organization, aligning with the overall mission of empathy and connection in business.

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What is the work environment like for a Senior Data Analyst at Qualtrics?

Qualtrics offers a hybrid work environment, blending in-office collaboration with remote flexibility. The culture emphasizes teamwork, continuous learning, and maintaining a high standard of quality, which creates an engaging and dynamic workplace for Senior Data Analysts.

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Common Interview Questions for Senior Data Analyst, GTM Analytics
Can you explain your process for conducting a data analysis project?

When responding to this question, outline your typical approach: starting with identifying the problem, gathering and cleaning data, conducting exploratory data analysis, applying suitable tools like Python and Tableau, and finally, presenting clear insights to stakeholders.

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Describe a challenging data problem you faced and how you solved it.

Use the STAR method (Situation, Task, Action, Result) to structure your answer. Describe a specific scenario where data analysis was crucial, what steps you took to solve it, and the positive outcome achieved as a result of your actions.

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How do you ensure the quality and accuracy of your data?

Discuss the importance of data validation processes, cross-checking data against reliable sources, and using automated tests in your data pipelines built in Python and SQL to catch errors early on.

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What experience do you have working with stakeholders to drive insights?

Highlight how you’ve collaborated with various teams in previous roles, emphasizing your communication skills and ability to translate complex data findings into actionable strategies for stakeholders at different levels.

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How do you stay updated on the latest tools and trends in data analytics?

Mention any courses, webinars, or professional groups you participate in, showcasing your commitment to continuous learning in the rapidly evolving field of data analytics.

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What steps do you take when starting a new analytics project?

Discuss your initial brainstorming and planning phases, explaining how you collaborate with stakeholders to define objectives and determine the necessary data to address those aims.

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How do you prioritize multiple data requests from different teams?

Explain your approach to evaluating the urgency and impact of each request, mentioning any tools you use to manage your workload effectively, and how you communicate timelines clearly to stakeholders.

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What is your favorite data visualization technique and why?

Share a specific visualization technique you find particularly effective for communicating insights, such as dashboards or graphs, and explain why you believe it resonates with stakeholders.

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Can you give an example of how your analysis led to a significant business change?

Share a tangible example where your insights from data analysis prompted a strategic shift in a company’s approach, detailing the path from analysis to implementation.

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Why do you want to work as a Senior Data Analyst at Qualtrics?

Connect your previous experiences and values to Qualtrics's mission and culture, highlighting your enthusiasm for using data to enhance customer experiences and your eagerness to contribute to a company that stands for empathy and connection in business.

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At Qualtrics, our mission is to build technology that closes experience gaps.

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Full-time, hybrid
DATE POSTED
April 20, 2025

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