Data Analyst, R&D Operations - CDMX
Mexico City, Mexico
Qualtrics
Use Qualtrics AI to transform data into personalized experiences, uncover drivers for customers and employees, and make smarter decisions to power growth.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.
- 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.
- 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.
- 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.
- 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.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Chemistry Computer Science Data visualization Economics Engineering ETL Finance Git Looker Physics Power BI Python R R&D Research SQL Tableau UX
Perks/benefits: Career development Medical leave Startup environment Team events
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