Insight Analyst

at  BEAUTY PIE

We’re Beauty Pie. We’re the world’s first luxury beauty and wellness buyers’ club. And we’re disrupting the beauty industry, one face cream at a time.
Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail - and overpay for all the crazy markups. Now, our members have access to shop from the best-quality beauty and wellness products (from the leading labs in France, Switzerland, Italy, Germany, Japan, Korea, etc) and get a bigger piece of the Beauty Pie.

• Alongside your manager, working with leaders across Beauty Pie to understand the drivers of business performance, analysing key trends and providing in-depth analyses and recommendations through engaging stories to help the business make important strategic decisions
• In partnership with the team, help the different functions across Beauty Pie understand the problems they’re trying to solve and make the right decisions.
• Use your broad exposure to Beauty Pie’s data and priorities to self-identify and recommend areas of interest for analysis.
• Alongside your manager, partner with stakeholders to define analysis objectives and translate business objectives into high impact analytical questions.
• In partnership with the data team, present findings and recommendations to leaders and stakeholders in a clear and compelling manner.
• Partner with stakeholders to ensure insights get taken forward into actions
• Collaborate with your manager and the wider data team to ensure we deliver impact to the business
• In partnership with insight analytics team, role model Insights and Analytics across Beauty Pie

We believe it’s all about mindset, great skills, the right attitude and a fantastic work ethic. If you’re aligned to our values, excited about the opportunity, and you’re really good at what you do (even if you don’t tick all the boxes) apply anyway!

• You have strong experience working in an Insight Analytics role, preferably for a DTC business
• You thrive in ambiguity, ask incisive questions, take a structured approach to problem-solving and provide clarity
• In partnership with your manager, you enjoy working closely with senior stakeholders to enable even better data driven decision making
• You enjoy collaborating with data peers, in data engineering and data science
• You’re technically confident, and are comfortable analysing complex, cross domain behavioural data through SQL, and potentially other languages, in partnership with your manager