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.
Revolutionizing the dental industry is hard…and we need help.
We're on the hunt for experienced senior data analysts who can tackle some of our most significant challenges in the realm of analytics within our supply chain and manufacturing operations. Our Operations team plays a pivotal role in Dandy's dental operations, overseeing critical areas like production management, workforce analytics and supply chain optimization. In this dynamic, cross-functional role, you'll have the freedom to independently harness data analysis to drive recommendations that propel Dandy to become the top dental lab in the industry.
Your responsibilities/opportunities
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 or user-friendly explores in Looker in partnership with our data engineers)
Utilize your data super powers to reduce ambiguity and solve problems
Mentor other analysts and help them grow
About you:
4+ years of experience working in operations analytics or data science, ideally in a B2B 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 scripting Python skills
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
Strong senses of autonomy and ownership
Strong critical thinking, problem solving, and statistical skills
Bonus points:
Have experience turning vague operational problems and turning them into statistically rigorous analyses & solutions (i.e causal inference, predictive modeling)
Interest in working and learning in an earlier stage company where we’re still working out some of the basics
Bias for action and desire to work in a fast-paced, collaborative environment
Strong customer empathy, particularly for dentists
Experience with Hex/Jupyter, DBT or Data Orchestration (we use Dagster)
Job ID: 1199-1
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!
Compensation Range: $165K - $182.5K
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