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 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**
You love working with data and understand its power to change a business or product's trajectory. You love growing technically and experimenting with new data tools and methodologies. You balance your technical interests with passion about understanding the customer and business. You are comfortable aligning technical work with strategic and business goals. You love data visualization and experimenting with new ways to make data more digestible to diverse audiences. You are detail-oriented, care about being right and have high standards for yours