Data Analyst - Customer Hub

Chicago, Illinois, United States

Applications have closed

Qualtrics

Know what your customers and employees need, when they need it, and deliver it every time with powerful, AI driven Experience Management (XM) software.

View company page

The Challenge:

As a data analyst in the Qualtrics Global Customer Intelligence team, you will contribute to our analytical capabilities by creating data products and solutions that will accelerate Qualtrics’ ability to drive insights that turn into action. Develop data structures that bring together customer feedback, product usage and operational data which will strategically advance how Qualtrics measures, understands, improves, and innovates the experiences it delivers to its customers. 

What Success Looks Like:

In this role, you will support Qualtrics’ ability to use data to drive insights. You will be part of a growing analytics team that serves our customer service teams with insights that can be turned into action. You will collaborate with data engineering resources to procure and curate data from disparate source systems. You will work with key business stakeholders to develop a deep understanding of the business purpose and definition of our internal data. 

Bring your analytical mind, problem-solving skills, and deep expertise in data curation and technical skills to develop data structures and data pipelines that will accelerate our understanding of our customer experiences and business outcomes.  If you love solving problems with data, hands on coding, hacking, partnering with cross-functional teams and thrive in a fast-paced and dynamic environment, this position is for you!

A Day in the Life:

  • Design, develop, and program disparate data sources into intuitive data structures that can form the basis for a broad set of analysis
  • Interact with cross-functional business stakeholders to understand their questions and issues  and formulate approaches for data analysis
  • Clearly communicate complex data challenges and solutions to business stakeholders
  • Partner with data scientist resources to develop data pipelines for use in model development and production
  • Be an internal leader in data analysis by collaborating with data engineering, data scientist, and other analytical resources
  • Form collaborative relationships with key stakeholders and team members

Qualifications & Requirements

  • BA/BS degree from a top-rated university
  • 3+ years work experience
  • At least 2+ years experience in open source programming languages
  • At least 2+ years experience with SQL and automation of data pipelines
  • Strong verbal and written skills to present analysis and insights including trends and opportunities to stakeholders across the business
  • Able to work independently on projects with little to no guidance required
  • High standard of quality, attention to detail, and professionalism

Preferred Qualifications

  • Familiarity with survey scripting and data reporting platforms such as Qualtrics is desired
  • BA/BS degree in STEM or other quantitative discipline

Qualtrics Q-mmunity:

We are proud of the community that has developed at Qualtrics. Every day it becomes more robust and, along the way, it matures and develops us into a better team through education, focus, advocacy, and fun. It is a solidifying piece of the #OneTeam mentality that we operate with.

The Q-mmunity is essentially a mix of the Q Groups, our Corporate Social Responsibility groups, and other social groups. These groups include but are not limited to MosaiQ, Q Pride, Q&Able, QSalute, and Women's Leadership Development (WLD). Take a deeper look at our Q-mmunity here.

Location

While we are optional-remote for the time being, Qualtrics is moving towards a hybrid model where employees will split their time between home and office work each week.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data analysis Data pipelines Engineering ML models Open Source Pipelines SQL STEM

Perks/benefits: Home office stipend

Region: North America
Country: United States
Job stats:  10  1  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.