Pay
$95K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,893 postings in the last year. Stated ranges, not salaries paid.
Provo, Utah, United States
Live, first seen by us 31 days agoRun quantitative research on retention, churn, product adoption, forecasting and territory design
Design and build dashboards, automated reports and data delivery tools
Build automated, tested data pipelines in Python and SQL
Own analysis projects end to end, from discovery through implementation
Handle weekly inbound data requests from field teams and prioritize them with stakeholders
conducting quantitative research in key areas such as retention and churn analytics, product adoption analytics, forecasting, performance management, and territory design
design and build data delivery mechanisms (dashboards, automated reports, etc.)
Ensure data quality with automated, documented, tested data pipelines built in Python and SQL
Own end-to-end problem solving efforts from the discovery & exploration phase through to implementation.
Handle inbound requests from field teams for data analysis, data requests, and decision making support.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$95K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,893 postings in the last year. Stated ranges, not salaries paid.
Day 31
Similar jobs usually come down between day 5 and day 41.
From 11,381 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Democratize insights by partnering with systems, operations, and analytics teams to design and build data delivery mechanisms (dashboards, automated reports, etc.) - Ensure data quality with automated, documented, tested data pipelines built in Python and SQL - Perform quantitative and qualitative analysis that leads to actionable insights, assisting stakeholders throughout the business on special projects and reports.
- Handle inbound requests from field teams for data analysis, data requests, and decision making support. Proactively work with internal stakeholders to prioritize needs and/or requests on a weekly basis. - Transform complex data sets into actionable insights using analytical, visualization, and data tools such as Tableau, Excel, Python, R, MySQL, etc. Create queries, views, reports, and easy-to-consume dashboards/visualizations. - Own end-to-end problem solving efforts from the discovery & exploration phase through to implementation.
- 2-5 years of designing and building dashboards used by large audiences for extended periods of time (Tableau preferred) - Preferred experience building robust data pipelines in Python and SQL across various data warehousing technologies (Redshift/Snowflake preferred) and system APIs (Salesforce, Qualtrics, Tableau, etc.) - Experience conducting innovative research in a business context
- 2-5 years conducting data analysis and proven track record of those insights driving business impact - 2-5 years of designing and building dashboards used by large audiences for extended periods of time (Tableau preferred) - Preferred experience building robust data pipelines in Python and SQL across various data warehousing technologies (Redshift/Snowflake preferred) and system APIs (Salesforce, Qualtrics, Tableau, etc.)
Complete your application on www.qualtrics.com. The employer’s form will show what is required.
Already applied? Track this application
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Why We Have This Role
How You’ll Find Success
How You’ll Grow
Things You’ll Do
What We’re Looking For On Your Resume
What You Should Know About This Team
Our Team’s Favorite Perks and Benefits
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Provo, Utah, United States
- Q Mentor Program: Looking to grow in your career? Get matched with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. 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.
No clear work-authorization passage found. Eligibility is unconfirmed.