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Senior Data Analyst

Modern Milkman
London
4 months ago
Applications closed

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Role:Senior Data Analyst  

Reporting into:Data Director  

Salary:60-75k 

Location:London or Manchester (Hybrid) 

 

About us 

This is a fantastic opportunity for a Senior Data Analyst make an impact at a growing business with an inspiring mission. Modern Milkman is more than just a milk delivery service – we're a movement. We're committed to reducing waste, supporting local farmers, and delivering fresh, sustainable products right to our customers' doors 

Our goal is to make the home sustainable, and, to date, we've prevented 100 million plastic bottles from polluting the planet. Not bad for a business that started as four friends from Lancashire delivering milk from a beat-up truck! To do this, we offer our customers the ability to make more planet-positive shopping habits one small, simple and very convenient step at a time. Learn more about our purpose and story at:https://themodernmilkman.co.uk/our-mission

The data team exist to enable better decisions for everyone at Modern Milkman. We care about leveraging data to improve the way we operate, how we serve our customers, how we build digital products and more. We deliver this by creating value driving data products and generating actionable insights so we can make smarter, data-informed decisions.  

As part of a small, agile team, this role will contribute to increased data-informed tactical and strategic decision-making business wide. Insights from critical analysis alongside the production and improvement of our data products will help us to better understand our customers, our products, our operations and more, resulting in smarter decisions and improved business outcomes. 

 

Key responsibilities: 

  • Conduct analysis which enables data-informed day-to-day decision making, as well as identify insights which inform business strategy  
  • Provide actionable insights across a range of business areas, helping us to better understand subscriber behaviour and optimise business operations  
  • Create, maintain and continuously improve upon data products within our data product portfolio (predictive models, reports etc.), ensuring they are purposeful, meet business needs and deliver business value  
  • Empower stakeholders to generate self-serve insights through leveraging our data products, as well as supporting the development of their data literacy skills  
  • Assist in producing excellent documentation on our data products, ensuring easy knowledge transfer across the team and high accessibility for users of analytics outputs  

 

Key requirements: 

  • Experience in a data analyst role, ideally in a fast paced/start-up environment  
  • Excellent SQL skills, strong Python skills is a plus  
  • Proven ability to leverage statistical analysis, data mining and predictive modelling techniques to deliver commercial value  
  • Strong analytical and problem-solving skills with the ability to think critically and strategically  
  • Proficiency in data visualisation/BI tools  
  • Commercially aware with the ability to identify and focus on business value and outcomes over project outputs  
  • Excellent problem-solving skills with the ability to grasp business needs and identify root cause problems  
  • A ‘solve it once’ mentality, striving to build reliable and scalable solutions  

 

How you’ll do it:  

  • Proactively identify and deliver high value applications of analytics across the business, curiously seeking out game changing insights, solving business problems and identifying opportunities  
  • Build great relationships with stakeholders, understanding their needs and challenges and providing appropriate solutions  
  • Effectively communicating actionable insights with clear business recommendations and the use of storytelling to land key messages with non-technical stakeholders  
  • Collaborate with your peers in the data team to triage data requests and issues  
  • Lead and manage analytics projects, ensuring timely delivery and alignment with business goals  

 

Benefits  

  • 25 days holiday, 8 bank holidays (5 flexible ones). Plus, your birthday off too!  
  • EMI Share Options
  • Up to 6% matched company pension.  
  • Access to thanksBen, for a range of core & flexible benefits  
  • Employee discount off Modern Milkman products  
  • Enhanced parental leave & pay  
  • Life Insurance  
  • Cycle to work scheme & Octopus EV salary sacrifice  
  • In-person company events  
  • £300 working from home set up  
  • £300 L&D budget per annum 
  • £300 Health and Well Being budget  
  • Endless samples of our stock – Seriously, our category managers have us taste testing food and drinks all the time!  
  • Up to 4 weeks working abroad  
  • 2x volunteering days and team volunteering days 
  • Loads of company clubs to join, from book clubs (Page Churners), Running, cycling and swimming (Trotters and Plodders), 5 aside Football (Modern Milkman FC) and any other pun-related clubs you can think of.  

 

Interview Process: 

This is typically what it looks like; 

30 mins - Call with our Talent, People and Culture Partner Ellie, to give you an overview of Modern Milkman. This is more like a ‘get to know you chat’ We’ll go over your background, what you're looking for etc   

 30mins - Call with Gemma, our Data Director. This is an opportunity to discuss your technical skills and background. You’ll learn more about ways of working in the team and it’s a great opportunity to ask any questions you might have   

Technical interview – 60 mins-  This might be a task or case study to be completed and presented back to Gemma, David, Data Analyst and Lambro, our CFO.   

Ways of working interview this will be with team members across our business, outside of your direct team, that you’ll work closely with   

Final intro call with Al, our CTO and anyone else in the team you might like to speak to  


We strongly encourage candidates of all different backgrounds and identities to apply. We believe that our team is stronger with a variety of perspectives. 

National AI Awards 2025

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