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- Tasks: Transform complex data into actionable insights and drive operational improvements.
- Company: Fast-growing, data-driven company focused on performance and collaboration.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Why this job: Make a real impact by analysing data and presenting insights to leadership.
- Qualifications: Experience in data analysis, strong SQL and Power BI skills required.
- Other info: Dynamic environment with a focus on continuous improvement and teamwork.
The predicted salary is between 30000 - 50000 Ā£ per year.
The Company is a fast-growing, well-established business operating at scale with a strong focus on performance, efficiency and continuous improvement. The company is highly data-driven and values insight that leads to real operational change. This is a collaborative, handsāon environment where teams work closely together onāsite.
An experienced Data Analyst is required to support operational and leadership teams by turning complex data into clear, actionable insight. This is a handsāon role, ideal for someone who enjoys being close to the operation and seeing the direct impact of their work across the business.
Key Responsibilities- Analyse operational, preparation and serviceācentre data to identify trends, patterns and opportunities for improvement.
- Process-map the endātoāend operational journey, highlighting inefficiencies and areas for enhancement.
- Build, maintain and improve interactive dashboards and reports to support real-time decision making.
- Work closely with leadership and operational teams to deliver actionable insights that drive performance and profitability.
- Present findings and recommendations clearly to senior stakeholders.
- Ensure data accuracy, consistency and integrity across multiple systems.
- Identify gaps in current systems and data usage, supporting business cases for improvement.
- Proven experience in a Data Analyst role, ideally within retail or manufacturing.
- Advanced Power BI experience (2+ years essential).
- Strong SQL skills with the ability to interrogate full databases.
- Strong Excel capability.
- Experience analysing large, complex datasets.
- Confident data visualisation skills.
- An inquisitive, analytical mindset with strong problemāsolving ability.
- Excellent communication skills, able to translate technical insight for nonātechnical stakeholders.
- Strong organisation and timeāmanagement skills.
- Familiarity with databases and data warehousing concepts.
- Full UK driving licence and own vehicle.
- Python experience.
- Exposure to project management or change initiatives.
Data Analyst in London employer: Farrer Barnes Limited
Contact Detail:
Farrer Barnes Limited Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Analyst in London
āØTip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
āØTip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've turned complex data into actionable insights in past roles. We want to see your problem-solving skills in action!
āØTip Number 3
Show off your technical skills! If youāve got experience with Power BI, SQL, or Excel, be sure to highlight specific projects where you used these tools to drive performance. We love seeing real examples!
āØTip Number 4
Donāt forget to follow up after your interview! A quick thank-you email reiterating your interest in the role can keep you top of mind. Plus, it shows youāre genuinely keen on joining the team!
We think you need these skills to ace Data Analyst in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Power BI, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can turn complex data into actionable insights!
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 focus on performance and efficiency. Let us know what excites you about working in a collaborative environment like ours.
Showcase Your Problem-Solving Skills: In your application, donāt just list your skillsāgive us examples of how you've used them to solve real problems. Whether it's improving processes or presenting findings to stakeholders, we love to see how you've made an impact in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Farrer Barnes Limited
āØKnow Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and drive insights. This will show that you're not just familiar with the software, but that you can leverage it effectively in a real-world context.
āØUnderstand the Business
Research the companyās operations and how they use data to improve performance. Familiarise yourself with their industry trends and challenges. This knowledge will help you tailor your answers and demonstrate that youāre genuinely interested in contributing to their success.
āØPrepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical mindset and problem-solving skills.
āØCommunicate Clearly
Since you'll be presenting findings to non-technical stakeholders, practice explaining complex data insights in simple terms. Use examples from your past experience to illustrate how youāve successfully communicated data-driven recommendations. This will highlight your excellent communication skills and ability to bridge the gap between technical and non-technical teams.
