At a Glance
- Tasks: Analyse data, build dashboards, and deliver insights to drive business decisions.
- Company: Join a dynamic analytics team at END. in London.
- Benefits: 33 days holiday, hybrid work, healthcare cashback, and generous staff discounts.
- Other info: Inclusive workplace with opportunities for professional growth and career progression.
- Why this job: Make an impact with data while working with cutting-edge tools and AI applications.
- Qualifications: 2+ years in data analytics, strong SQL skills, and experience with visualisation tools.
The predicted salary is between 40000 - 50000 € per year.
We are seeking a Data Analyst with a minimum of 2 years of SQL experience to support analytics across key areas of the business. You will help build self‑serve reporting, deliver regular performance insights and support stakeholders with data that improves commercial decisions. This role is hands‑on: you will work with large datasets, build dashboards, investigate trends and proactively surface opportunities across customer behaviour, product performance and digital journeys using a host of tools.
You’ll be joining END.'s Analytics team (team of 3), reporting into the Analytics Lead. We are a central function that supports the business with high‑quality insight, reporting and data‑driven recommendations. We work closely with Commercial Trading, Digital, CRM, Merchandising, Marketing, Operations and Senior Leadership to understand customer behaviour, commercial performance and the key drivers of growth. We work with modern data and analysis tools including Snowflake, Google BigQuery, Data Studio, Power BI and Bloomreach. Our purpose is to turn complex data into clear, actionable insights that guide decision‑making and help END. grow sustainably and strategically. To do so, we are increasingly utilising AI tools and applications, in particular Claude to bring teams, tools and data together, surface insights and actions and create smooth operating models for business growth. Expertise and interest in this area is welcomed.
Here’s a breakdown of what you’ll be doing:
- Produce regular reporting across core areas (commercial, customer, digital performance, CRM, operations).
- Build and maintain dashboards in Data Studio (or similar tools such as Tableau/Power BI).
- Use SQL in BigQuery to analyse large datasets and extract insights around customer behaviour and sales trends.
- Use Claude to operationalise multiple datasets and sources to drive actions across function.
- Identify opportunities and risks by monitoring changes in performance and customer patterns.
- Support forecasting, target‑setting and performance tracking alongside Finance, Marketing and Commercial Trading.
- Communicate insights clearly to both technical and non‑technical stakeholders.
- Collaborate with teams to scope new analytics needs and improve existing data products.
- Conduct ad‑hoc deep dives to answer strategic questions.
- Maintain accuracy, consistency and data quality across reports and dashboards.
Who we’re looking for:
- 2+ years of experience in a data or analytics role.
- Strong SQL skills and experience with large datasets.
- Experience with cloud data warehouses (ideally Google BigQuery, or similar).
- Experience with data visualisation tools (Data Studio, Tableau, Power BI or equivalent).
- Interest and experience in Claude or other similar AI tools and applications.
Nice to have:
- Experience in retail, e‑commerce, customer analytics or digital performance analysis.
- Familiarity with experimentation/A‑B testing methodologies.
- Understanding of customer lifecycle, segmentation or retention analytics.
Besides a competitive salary and an engaging and inclusive workplace we can offer you:
- 33 days holiday (including bank holidays)
- Hybrid, with 2 days WFH
- 40 Hours per week – Monday to Friday
- Holiday trading (Buy or sell 3 days)
- Your birthday off
- Access to Employee Assistance Programme
- Healthcare Cashback Plan
- Moments that matter gifts (Weddings and Babies)
- A pension that both you and the company contribute to
- Generous staff discount
- Opportunities for professional development and career progression
- And so much more...
We know that great talent comes in many forms. So even if you don’t meet every single criteria, we would still love to hear from you. If you’re passionate, driven, and believe you can contribute to our future success, we encourage you to apply.
Please note: Employment is conditional upon having the legal right to work in the UK for the role offered.
Data Analyst employer: Ashworth and Parker Limited
At END., we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. As a Data Analyst in our London office, you'll enjoy a competitive salary, generous benefits including 33 days of holiday, hybrid working options, and ample opportunities for professional development, all while contributing to meaningful insights that drive our business forward. Join our passionate team and be part of a company that values your growth and well-being.
Contact Detail:
Ashworth and Parker Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at END. on LinkedIn. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects or any dashboards you've built. This gives you a chance to demonstrate your SQL prowess and analytical thinking in a practical way.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, especially when discussing insights from large datasets. Remember, communication is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the END. team. Let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL experience in your application. We want to see how you've used SQL to analyse large datasets and extract insights, so don’t hold back on the details!
Dashboards Are Your Best Friend:If you've built dashboards using tools like Data Studio or Power BI, let us know! Share examples of how these dashboards have helped in decision-making or improved performance.
Communicate Clearly:We value clear communication, especially when it comes to sharing insights with both technical and non-technical folks. Make sure your application reflects your ability to convey complex data in a simple way.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Ashworth and Parker Limited
✨Know Your SQL Inside Out
Since the role requires strong SQL skills, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with SQL in detail, and consider practising some common SQL queries that might come up during the interview.
✨Familiarise Yourself with Data Visualisation Tools
The job mentions tools like Data Studio, Tableau, and Power BI. Take some time to explore these platforms if you haven't already. Being able to talk about your experience with these tools and how you've used them to create dashboards or reports will definitely impress your interviewers.
✨Understand the Business Context
Research END. and its analytics needs. Understand their business model, customer behaviour, and how data analytics plays a role in their decision-making. This will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Think of examples from your past experience where you've identified trends or made recommendations based on data. This will demonstrate your analytical thinking and problem-solving skills.
