Data Analyst, R&D Operations

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.
 
Data Analyst, R&D Operations - CDMX

Why We Have This Role

As a Data Analyst on the Products, eXperience and Engineering (PXE) Analytics & Data Science Team, you will bring the power of our data to Qualtrics, itself. You will be a leader on the core analytics and data science team, building out our data products, including reports and metrics consumed by 1,500+ engineers, product managers and UX designers. You will support data scientists and analysts across Qualtrics in building the datasets they need to provide critical insights, power in-product motions and visualize metrics. You will build and lead the team of analysts that builds these trustworthy data assets from disparate product clickstream, state and customer feedback data sources (e.g., NPS, Social Media, Call/Case Volumes, Product feedback).

How You'll Find Success

• You are obsessed with data and its power to shape our product strategy.
• Qualtrics internal stakeholders have integrated your products into their key decisions and are craving more.
• You have high standards for yourself and big ambitions for your career.
• You can operate effectively in the face of numerous competing demands and that data assets are high quality and trustworthy.
• You love learning new technologies. You thrive when you can get hands in turning a dataset into analysis, metrics or reports.
• You are comfortable dealing with messy datasets and going "outside your lane" when needed to understand how a process or systems can produce the data you need.
• You are comfortable providing technical requirements to upstream engineering teams in order to deliver data points you need to produce data assets you need to build.
• You are comfortable meeting with less technical stakeholders to help design and evangelize the tools you build.
• You work effectively cross-team and you understand the importance of building strong relationships and earning trust and credibility.

How You'll Grow

• You'll develop expertise in applying cutting-edge datasets, tools and technologies to a widely used, well-known, global product.
• You'll gain experience working closely with brilliant Data Scientists and Analysts who will help you grow technically.
• You'll partner with Product Management, Engineering, and UX and learn how great products are built and a winning business grows.
• You'll engage in complex problem-solving and tackle our trickiest data challenges, unlocking novel insights and strategic solutions.

Things You'll Do

• You interact with diverse stakeholders, such as Product Management, Engineering, Design and User Research to identify the right metrics and dimensions to support decisions and to wireframe reports.
• You will work closely with a team of data scientists who support and leverage the work your team does.
• You build dashboards and datasets, using tools like Tableau, Python, SQL and Git.
• You build and maintain quality to ensure data assets are trustworthy.
• You lead enablement sessions with diverse stakeholders helping them understand and utilize the products produced by the team.
• You partner with engineering and other upstream data providers to understand and define signals needed to improve our data products. As needed, you hold partners accountable for delivering needed signals.
• You write documentation to institutionalize best practices and to make metrics, datasets and reports more accessible.

What We're Looking For On Your Resume

• Bachelor's Degree in analytical disciplines with majors such as Business Analytics, Supply Chain, Economics, Finance, Computer Science, Engineering, Physics, Chemistry OR relevant experience.
• 4-6 years of work experience as a data analyst, data engineering, data science or related role.
• Proficiency in SQL and experience querying structured datasets to answer business questions.
• Experience with or knowledge of the basics of using Python for data manipulations or ETLs.
• Experience with or interest in data schematization and modeling.
• Experience with data visualization and software tools like Tableau, Looker or PowerBI.
• Experience with data warehouses, data lake and query services technologies.
• Strong verbal and written communication skills to drive alignment on approaches to data products and present work to diverse groups of stakeholder
• Receptiveness to feedback and continuous improvement mindset.

What You Should Know About This Team

• The opportunity for impact is huge Our work has driven decisions that have shaped our product and company strategy, and our team is responsible for reporting many of the company's most important metrics.
• People grow their careers on this team, and we offer numerous opportunities for professional development and leadership.
• We're One Team and care about each other as individuals. We prioritize a supportive and inclusive environment, ensuring team members feel valued and empowered.

Our Team's Favorite Perks and Benefits

• We enjoy a hybrid work model that supports work-life balance and flexibility.
• We dedicate 10% time each quarter to individual development and personal growth initiatives.
• We have access to best in-class tools and encourage stretch projects to help team members grow technically.

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. #hybrid
 
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.
 
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