Senior Data Analyst - Supply Job at Dandy, Arlington, TX

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  • Dandy
  • Arlington, TX

Job Description

Dandy is transforming the massive ($200B) but antiquated dental industry. Backed by some of the world's leading venture capital investors, we are on an ambitious mission to integrate and simplify every function of the dental practice through technology. By building the operating system for every dental office in America, Dandy is empowering dentists with technology, innovation, and world-class support to achieve more for their practice, 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, we offer a wide range of best in class, comprehensive and inclusive employee benefits including healthcare, dental, parental planning, mental health benefits, a 401(k) plan, and paid time off.

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 move at Dandy speed and do everything in our power to meet your needs.

Job Tags

Full time, Work at office,

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