After successfully launching and exiting two consumer brands, the founders turned their attention to the rapidly growing energy drink category. After two years of research and in house testing, their brand was launched in March 2018.

Nearly 4 years later, their produt has become the fastest growing energy drink in the UK. With a culture of gaming & creativity, it is a brand which can resonate with a generation across the world.

With a newly renovated city centre office, our client are looking to add people to their team who are done with the ‘stuffy corporate culture’ and red tape. They are looking for individuals who can help to build this into a brand that can compete with the ones you’ve seen dominate the shelves for so many years.

Collectively, the team has built multiple brands before. They know what to look for and they’ve seen how they grow. The team of 30 is consistently expanding. This is the chance to join them, it’s just the beginning.

The role…

• You identify business opportunities and trends through exploratory data analysis using MS Excel, R or Python, SQL to connect data across our various sources (e.g. Supply Chain, Shopify, Amazon, Google Analytics, Email, Performance Marketing)
• You connect the dots across data silos, translate company KPIs into actionable metrics and set SMART targets using forecasting & scenario modelling methodologies
• Conceptualizing, building, and maintaining company steering and team level dashboards to help democratize data (e.g. CLV, cohort analysis, retention rate, cost per revenue, cost per acquisition etc.) is your responsibility
• As well as data profiling to identify and understand anomalies and recommend solutions collaborating closely with other functions as appropriate.

You will have…

• 3-5 years relevant experience as a business-/, product-/ or data analyst to the table
• Expert skills in SQL & MS Excel
• Experience working with Python or R for analytics use cases
• Solid professional experience in statistical analysis and forecasting concepts, ideally in R or Python
• Proficient skills in building dashboards and visualizing data. Experience with tools such as Looker, Data Studio, Tableau or equivalent BI tool is a must have
• Be a self-starter with superb attention to details and organizational skills
• Excellent communication and data storytelling skills to support our senior management and business teams in taking data-based decisions round up your profile