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Data Analyst

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 an experienced senior data analyst who can tackle some of our most significant challenges in the realm of analytics for Go to Market (GTM) and Product functions. These functions are responsible for key aspects of Dandy’s business, obsessing about the customer experience. This role will support them to grow recurring revenue, improve customer retention, enhance our product experience through increased feature usage, and drive customer acquisition. You will enable the team to drive customer ordering behavior through an increased understanding of customers by segment. In this highly cross-functional role, you will work autonomously to leverage data analysis to make recommendations that make Dandy a more compelling service for our customers.

Your responsibilities/opportunities

  • Develop and share insights that drive the revenue and product teams to better serve, acquire, and retain customers

  • 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)

  • Design and execute effective A/B experiments that cater our product offering to our customer’s needs and boost recurring revenue

  • Utilize your data super powers to reduce ambiguity and solve problems

  • Be a strategic thought partner with cross-functional stakeholders

  • Mentor other analysts and help them grow

About you:

  • 3+ years of experience working in revenue, retention, and customer life cycle analytics, ideally in a B2B setting

  • BA/BS in a quantitative field such as mathematics, statistics, engineering with customer empathy or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills

  • Excellent SQL & Python skills 

  • 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:

  • Experience working with revenue data at a company like Shopify, Amazon, Uber, Lyft, Instacart, or the like.

  • Strong customer empathy, particularly for dentists

  • Have experience turning vague business problems into statistical rigorous analyses & solutions (e.g. causal inference, predictive modeling)

  • Interest in working and learning in an earlier stage company where we’re still working out some of the basics

  • Experience in Looker, Hex, and DBT

Job ID: 1860

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.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Data Analyst, Dandy

Dandy is on the lookout for a talented Data Analyst to join our innovative team! As we aim to revolutionize the $200B dental industry, you'll play a crucial role in helping us simplify and enhance dental practices across America. In this position, your analytical prowess will drive impactful decisions in our Go-to-Market (GTM) and Product functions, ultimately improving customer experience. You'll leverage your skills to dive deep into data, providing insightful recommendations that aid in revenue growth, customer retention, and acquisition. Imagine developing insights that shape our strategies and help us better serve our customer base. Your role will involve defining critical KPIs and building user-friendly dashboards that make data accessible to everyone on the team. Additionally, you'll have the creative freedom to design and execute A/B experiments that cater specifically to our customer needs. Working closely with cross-functional teams, you'll be a strategic partner who fosters collaboration and knowledge sharing. If you're excited about using your skills in SQL and Python to create meaningful impacts while mentoring budding analysts, Dandy is the place for you. Join us and help us drive a change that's not just powerful but also integral to our mission.

Frequently Asked Questions (FAQs) for Data Analyst Role at Dandy
What are the primary responsibilities of a Data Analyst at Dandy?

As a Data Analyst at Dandy, you will be responsible for driving insights that shape the strategies of our revenue and product teams. This includes developing KPIs and dashboards, facilitating rapid decision-making through data democratization, and designing A/B experiments to cater to our customers' needs. By utilizing your analytical skills, you will influence how we serve, retain, and acquire customers, making a significant impact on our business.

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What qualifications are needed to become a Data Analyst at Dandy?

To be a successful Data Analyst at Dandy, candidates should possess a BA/BS in a quantitative field or behavioral science with strong statistics skills. Three or more years of experience in revenue, retention, and customer lifecycle analytics are ideal, particularly in a B2B setting. Familiarity with SQL and Python, along with strong communication skills to relay insights in an impactful manner, are also essential.

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How does Dandy support its Data Analysts in their professional growth?

At Dandy, we believe in fostering growth and learning among our Data Analysts. You will have the opportunity to mentor other analysts, helping them develop their skills.Additionally, you will be encouraged to take ownership of your projects and work on diverse challenges that expand your experience and technical abilities within our innovative environment.

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What tools are used by Data Analysts at Dandy?

Our Data Analysts make use of several modern tools, including SQL and Python for data analysis, and Looker for building intuitive dashboards. Experience with Looker, Hex, and DBT are included, as these help streamline our data processing and ensure that insights are effectively communicated to the team.

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What kind of company culture does Dandy promote for its Data Analysts?

Dandy promotes a culture of inclusivity, innovation, and collaboration. We celebrate authentic contributions and encourage our Data Analysts to engage with cross-functional teams to foster a sense of community while tackling complex challenges. Our commitment to diversity ensures that everyone feels empowered to share their perspectives, which enriches the workplace for all.

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Common Interview Questions for Data Analyst
Can you explain your approach to developing key performance indicators (KPIs)?

In answering this question, outline your methodology for identifying the most relevant KPIs aligned with business objectives. Discuss how you gather data and stakeholder inputs to define measurable metrics and how you continually evaluate their effectiveness in driving the desired outcomes.

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How have you utilized A/B testing in your previous roles?

When addressing this question, share specific examples of A/B tests you have designed, clarifying how you formulated hypotheses, selected target audiences, and evaluated results. Emphasize the impact of these tests on product features or user experiences.

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What tools do you prefer for data visualization and why?

Discuss your favorite visualization tools such as Looker or Tableau, detailing why you find them effective. Highlight how these tools facilitate insight communication with stakeholders and contribute to data-driven decision-making.

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Describe a time when your data analysis led to a significant business impact.

Use this opportunity to narrate a compelling story about how your analytical work informed strategic decisions that drove growth or solved a key business problem. Describe the context, your analysis process, and the ultimate outcome.

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How do you ensure the accuracy and reliability of your data?

Explain your process for validating data sources and the tools you use for data cleaning and preparation. Discuss the importance of accuracy in analysis and how it supports sound decision-making.

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How do you prioritize your projects as a Data Analyst?

Share your approach to project prioritization, focusing on impact, urgency, and alignment with business goals. Discuss how you balance short-term needs with long-term objectives and manage multiple requests from different teams.

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What is your experience with SQL databases?

Talk about your proficiency with SQL, including specific queries or complex data manipulations you've performed. Highlight how your SQL skills have enabled you to extract meaningful insights from large datasets.

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How do you communicate complex data findings to non-technical stakeholders?

Detail your strategies for making complex data accessible, such as using clear visuals, avoiding jargon, and tailoring your message to the audience. Discuss the use of storytelling techniques to enhance understanding and engagement.

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What do you consider when evaluating customer behavior data?

In your response, discuss the metrics and factors you consider when analyzing customer behavior. This can include purchase patterns, demographic influences, and feedback mechanisms, as well as how those insights influence strategy.

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Can you give an example of collaborating with cross-functional teams?

Provide an instance where you effectively worked with different departments, focusing on how you contributed to joint projects and the valuable insights that resulted from collaborative efforts to meet a common goal.

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DATE POSTED
March 22, 2025

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