\nAt 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.\n\n \n\nManager of Analytics, R&D Operations - CDMX\n\n \nWhy We Have This Role\n \nAs a Manager of Analytics 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).\n \nHow You’ll Find Success\n\n\nYou are obsessed with data and its power to shape our product strategy.\nQualtrics internal stakeholders have integrated your products into their key decisions and are craving more.\nYou have high standards for excellence and leadership skills to build a team of world-class analysts.\nYou run strong processes to ensure the team can operate effectively in the face of numerous competing demands and that data assets are high quality and trustworthy.\nYou are excited about being a player-coach. You love learning new technologies. At times, you are willing to be a doer, and you have the experience to provide hands-on technical guidance to the team on dataset, metrics and reports development.\nYou 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.\nYou 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.\nYou are comfortable meeting with less technical stakeholders to help design and evangelize the tools you build.\nYou work effectively cross-team and you understand the importance of building strong relationships and earning trust and credibility.\n\n\n \nHow You’ll Grow\n\n\nYou’ll develop expertise in applying cutting-edge datasets, tools and technologies to a widely used, well-known, global product.\nYou’ll grow as a leader by managing a diverse team, learning from peers, and applying management best practices.\nYou’ll gain experience working closely with Product Management, Engineering, and UX to influence key business decisions.\nYou’ll engage in complex problem-solving and tackle our trickiest data challenges, unlocking novel insights and strategic solutions.\n\n\n \nThings You’ll Do\n\n\nYou partner with DSA leadership to hire and lead a team of 4+ analysts who own key reports, metrics and datasets for the PXE organization. Partners closely with a team of data scientists who support and leverage the work your team does.\nOnce the team is established, you run Kanban or sprint processes to keep the team focused and partner with leaders and stakeholders to triage and set priorities for the team.\nYou 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.\nYou review dashboards, Python and SQL code, helping maintain a high quality bar for the team.\nYou develop quality processes, such as on-call or alerting, to ensure data assets are trustworthy.\nYou lead enablement sessions with diverse stakeholders helping them understand and utilize the products produced by the team.\nYou master our technologies and coach the team on how to use tools such as Tableau, dbt, Redshift, Airflow and Prefect.\nYou 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.\nYou write documentation to institutionalize best practices and to make metrics, datasets and reports more accessible.\n\n\n \nWhat We’re Looking For On Your Resume\n \n\nYou’re a hands-on, technical data leader. You have led and built analytics teams that have produced trustworthy and widely used data assets for their organizations. You balance your technical interests with passion about understanding the customer and business and are comfortable aligning technical work strategic and business goals. You love growing technically and experimenting with new data tools and methodologies. You love data visualization and experimenting with new ways to make data more digestible to diverse audiences. You are detail-oriented and have high standards for teams you lead. You love to develop processes to help everyone work better together. You can code and have applied software engineering best practices to data, such as building things that are reproducible and version controlled. You live “scrappy” and want to join a dynamic, growing, organization.\n\nBachelor’s Degree in analytical disciplines with majors such as Business Analytics, Supply Chain, Economics, Finance, Computer Science, Engineering, Physics or Chemistry.\n3+ years work experience as a manager or tech lead leading teams of analysts, data engineers or data scientists. 10+ years of work experience, including individual contributor experience as a data analyst, data engineering, data science or related role.\nProficiency in Python and SQL and experienced working with database technologies such as Redshift.\nExperience with or interest in data schematization and modeling. Familiarity with core concepts such as relational algebra and normalization.\nExperience with data visualization and software tools like Tableau, Looker or PowerBI.\nFamiliarity with data warehouses, data lake and query services technologies and related concepts such as columnar storage and map reduce.\nStrong verbal and written communication skills to drive alignment on approaches to data products and present work to diverse groups of stakeholder\nReceptiveness to feedback and continuous improvement mindset.\nDemonstrated history of handling a wide variety of leadership and management scenarios.\n\n\n \nWhat You Should Know About This Team\n\n\nThe 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.\nPeople grow their careers on this team, and we offer numerous opportunities for professional development and leadership.\nWe’re One Team and care about each other as individuals. We prioritize a supportive and inclusive environment, ensuring team members feel valued and empowered.\n\n\n \nOur Team’s Favorite Perks and Benefits\n\n\nWe enjoy a hybrid work model that supports work-life balance and flexibility.\nWe dedicate 10% time each quarter to individual development and personal growth initiatives.\nWe have access to best in-class tools and encourage stretch projects to help team members grow technically.\n\n\n \n\nThe 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.\n \nQualtrics 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.\n \n​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act\n \nQualtrics 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.\n \nNot 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.\n \n\n