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For Companies At a Glance
- Tasks: Analyse data to drive smarter business decisions and uncover actionable insights.
- Company: Rapidly growing international e-commerce/tech business focused on transparency and efficiency.
- Benefits: Competitive salary, comprehensive bonus scheme, hybrid working, and project ownership.
- Why this job: Make a tangible impact in a fast-paced environment while shaping the future of data.
- Qualifications: 2+ years in data analysis, strong SQL skills, and proficiency in data visualisation tools.
- Other info: Opportunity to work with cross-functional teams and influence company direction.
The predicted salary is between 32000 - 50000 £ per year.
An established international e-commerce/tech business, undergoing a period of rapid growth and transformation. They are on a mission to bring greater transparency, efficiency, and convenience to their sector. To support this, they are looking for a skilled analyst to drive smarter business decisions and uncover actionable insights through data.
The Role
As a Data Analyst, you’ll play a key role in leveraging rich datasets to inform strategic decisions across pricing, operations, and marketing. You will analyse patterns, optimise processes, and contribute to business-critical reporting. You’ll also be instrumental in building automated dashboards and visualisations to bring data to life for stakeholders. This is a hands-on role, suited to someone highly numerate, commercially minded, and motivated to make a tangible impact.
Key Responsibilities
- Analyse large datasets to identify trends, inefficiencies, and commercial opportunities
- Optimise and maintain pricing and performance models across complex structures
- Design, build, and maintain dashboards and reports using tools such as Tableau or Power BI
- Use SQL to extract, clean, and manipulate large volumes of data from multiple sources
- Apply statistical techniques (e.g., regression, clustering) to generate insights
- Collaborate with cross-functional teams (e.g., Marketing, Operations) to support decision-making
- Present insights clearly to both technical and non-technical stakeholders
- Support A/B testing design and evaluation for continuous product and process improvement
- Help define KPIs and monitor performance across key business areas
Key Skills and Experience
- 2+ years’ experience in a commercial data focused role
- Strong SQL skills with experience working on large relational databases
- Proficient in data visualisation tools (Tableau, Power BI, or similar)
- Exposure to Python or R for analysis and modelling
- Experience with A/B testing frameworks and interpreting results
- Excellent problem-solving and logical thinking abilities
- Strong communication and stakeholder engagement skills
- Able to work independently and prioritise across multiple projects
Desirable
- Degree in Mathematics, Statistics, Computer Science, Economics, or related field
- Knowledge of operational or logistics data
- Experience in eCommerce, marketplaces, or tech-enabled services
On Offer
- 40-50k starting salary
- A comprehensive bonus scheme
- Hybrid Working
- Opportunity to work in a fast-paced, high-impact environment
- Real ownership over projects that directly influence company direction
- The chance to help shape and scale the data function
- Plus many additional benefits
Data Analyst in London employer: Metrica Recruitment
Contact Detail:
Metrica Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and visualisations. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data visualisation tools. Be ready to discuss your past experiences and how you've used data to drive decisions. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Analyst. Highlight your experience with SQL, data visualisation tools, and any relevant projects that showcase your analytical skills. We want to see how you can drive smarter business decisions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our mission for transparency and efficiency. Let us know how you can make a tangible impact in our team.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Tableau or Power BI, and any experience with Python or R. We’re looking for someone who can bring data to life, so share examples of dashboards or reports you've created!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Metrica Recruitment
✨Know Your Data Tools
Make sure you’re well-versed in SQL, Tableau, and Power BI. Brush up on how to extract, clean, and visualise data, as these skills will be crucial for the role. Be ready to discuss specific projects where you've used these tools to drive insights.
✨Showcase Your Analytical Mindset
Prepare examples of how you've identified trends or inefficiencies in past roles. Think about how you applied statistical techniques like regression or clustering to generate actionable insights. This will demonstrate your problem-solving abilities and commercial mindset.
✨Communicate Clearly
Practice presenting your findings in a way that’s easy to understand for both technical and non-technical stakeholders. Use simple language and visuals to convey complex data insights. This skill is key in ensuring your analysis drives decision-making.
✨Collaborate and Engage
Be ready to discuss how you’ve worked with cross-functional teams in the past. Highlight your experience in supporting marketing or operations decisions through data. Showing that you can engage with various stakeholders will set you apart.
