Jobs at Alteryx

Positions 10,053

Alteryx is a data analytics platform that empowers analysts and scientists to blend, prepare, and analyze data without writing code. Founded in 1997 and headquartered in Irvine, California, the company popularized the Alteryx Designer interface, making advanced analytics accessible to non‑technical users across industries such as finance, healthcare, and retail.

Alteryx hires for a spectrum of roles: software engineers, data scientists, product managers, UX designers, sales and marketing specialists, and customer success engineers. Candidates can expect cross‑functional teams, a strong focus on data quality, and opportunities to work on both the core platform and industry‑specific solutions. The company supports remote work and offers flexible schedules to accommodate diverse work styles.

By reviewing Alteryx listings on Job Transparency, you gain immediate access to transparent salary ranges, interview experiences, and employee sentiment scores. This data lets you benchmark offers, prepare targeted questions, and identify roles that align with your compensation expectations and career goals.

No open positions at Alteryx right now.

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Frequently Asked Questions

What is it like to work at Alteryx?
Employees describe Alteryx as a high‑energy, data‑centric environment where collaboration is key. Teams are cross‑functional, with frequent hackathons and design‑thinking workshops. The company emphasizes open feedback, continuous learning through internal courses, and a culture that rewards innovation and ownership.
What types of positions are available at Alteryx?
Alteryx offers roles in software engineering (frontend, backend, infrastructure), data science, product management, UX/UI design, sales, marketing, customer success, and technical support. Internships and contract roles are also available, especially for recent graduates and industry specialists.
How can I stand out as an applicant for Alteryx?
Showcase hands‑on experience with data‑blending tools, especially Alteryx Designer or similar platforms. Highlight projects that reduced data processing time or uncovered actionable insights. Demonstrate strong communication skills, a growth mindset, and a portfolio of code or analytics work. Tailor your resume to reflect the company’s focus on data quality, automation, and customer impact.

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