Harry’s is a men’s grooming brand that was built out of respect for quality craftsmanship, simple design, modern convenience and for guys who know they shouldn’t have to overpay for a great shave. We are able to deliver exceptional value and experiences to our customers because we are vertically integrated. From grinding steel into fine razors blades at our factory in Germany to selling our products directly to customers on our website and select retailers, we own the entire process.

Since launching in early 2013, we have been blown away by the customer response to our brand. Today, we have over 3 million customers and are growing fast. We’re now looking to bring amazing people, like you, together to redefine the way people interact with brands online and in stores across the country.

About the Team

The analytics team is a critical function that supports data-driven decision-making throughout Harry's. The analytics team helps Harry’s make better decisions faster. We do this by building tools to help our colleagues make better use of our data and by using sophisticated analytics and statistical tools to generate next-level insights. Basically, we build tools to help the organization make better decisions faster. We think about data from the factory floor in Germany, across our global supply chain, through the marketing we show our customers, to when the customer gets a package at their door.

About the Role

In this role you’ll work with key decision-makers throughout the company to leverage our platform and numerous data sources to drive the business forward. Because our business is so complex, we need someone with both a strong business acumen as well as excellent technical skills to dive deep into the data sources to generate the insights.

We are looking for a technically-minded, strong analytical thinker and problem solver who is able to efficiently deliver analytic insights across Harry’s multiple teams. These include Distribution, Direct to Consumer (DTC), Supply Chain, Finance, and more. Most importantly we are looking for someone who is a builder and entrepreneur, someone who is excited about using data and analytics to push the whole company forward.

What you will accomplish:

  • Own end-to-end analyses to answer important business questions using data. For example, you might
    • Analyze trends in subscription retention and estimate the impact on our core business while owning the process to figure out how to best measure and display the results visually.
    • Assess the impact of price and supply chain changes on our expected customer lifetime value and communicate the business implications across teams
    • Investigate trends in our retail sales to determine where we’re best positioned to grow
    • Develop models (using SQL, Python, and/or Excel) to support our S&OP team’s demand planning process
  • Be a thought leader (and doer) about how we should further buildout and support our business intelligence capabilities
  • Be a data-evangelist across the organization, sharing best practices and insights with cross-functional teams
  • Interview key stakeholders and executives to understand their analytic needs and KPIs
  • Lead meetings with stakeholders (including senior leadership team) to share out results of analyses

These might describe you:

  • 2 years as a Data Analyst on an Analytics team
  • 2-4 years experience in a field involving analyzing complex data and synthesizing insights
  • Competency in SQL to query datasets with a desire to learn more (also open to individuals who have worked with other analytical programs and are inclined to learn new analytical tools fast!)
  • Experience with using business intelligence tooling such as Looker or Tableau
  • Strong Business Acumen – You think deeply about business strategy and profitability, and you know how to communicate complex concepts effectively and concisely. You proactively identify and investigate potential areas of opportunity
  • Excited about Programming – You’re the type of person who enjoys getting their hands dirty with code. You may not be a computer scientist, but you’re really pumped to learn more about how best programming practices can make you a better analyst
  • Analytical Thought Partner – You are excited about partnering with people to figure out how analytics can solve their problems. You are great at communicating in order to both fully understand someone’s business need and to communicate potential limitations of your approach
  • Creative Problem Solver – Analytics means finding creative ways to answer vague problems. You should be able to find creative ways to  solve problems within the constraints of our reporting platform
  • Tactical – You can plan and execute projects by identifying and dismantling potential roadblocks ahead of time. Furthermore, you’re pragmatic: you want to work on the most important problems first and you want to find the highest-impact lowest cost solution
  • Curious – You’re going to be asked to dive in with all parts of the Harry’s team, and your innate hunger to learn the nuanced complexities of these practice areas will help our team identify and solve the most important problems
  • Sense of humor -- We take our work seriously and our selves un-seriously.

Here's who you'll work with:

  • You’ll report to the Head of Analytics
  • You'll work closely with our other data analysts and a cross-functional mixture of every other part of our business.

Harry’s is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.