Job Description
Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.
Dandy is hiring a Data Analyst II to join our rapidly scaling technology organization. In this role, you’ll be challenged to leverage cutting-edge data tools, given the freedom to solve complex problems independently, and will drive immediate impact through actionable insights.
We are building the analytics engine behind the evolving Dandy Supply Chain stack. This is the backbone of the manufacturing side of the business, responsible for planning, routing, and optimizing the world’s largest custom manufacturing business. As a Data Analyst II, you will turn this operational complexity into clear, strategic intelligence that propels Dandy forward.
This role will require frequent travel (approximately 25%) to our Provo, UT and/or Indianapolis, IN offices.
Your responsibilities/opportunities
Build production management and prescriptive analytics systems to help operators execute and scale
Develop and share insights that drive impact within the Manufacturing, Supply Chain, and Operations teams
Define the data language (i.e., KPIs, dashboards, measurement, etc.) to ensure your team grasps the underlying truth that drives progress and success
Facilitate rapid decision making through ad hoc work or by democratizing data/self-service (effective BI and user-friendly explores in Looker)
Utilize your data super powers to reduce ambiguity and solve problems
About you:
3+ years of experience working in data analytics or data science, ideally in a B2B operations setting
BA/BS in a quantitative field such as statistics, computer science, operations research or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills
Excellent SQL skills
Strong Python skills
Previous experience using data to drive impact in a manufacturing or physical production environment
Familiarity with operations research and supply chain management concepts
Strong communication skills and experience communicating results in a way that drives change. You have the ability to use data to inform, align, and lead
Desire to work in a fast-paced, collaborative environment
Strong critical thinking, problem solving, and statistical skills
Bonus points:
Time spent at a venture-backed startup during hyper-growth
Experience with Hex/Jupyter, DBT or Data Orchestration (we use Dagster)
Familiarity with Gen AI tools and AI-assisted development
Req ID: J-1039
For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.
Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!
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