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- Tasks: Transform data into insights that drive key business decisions and create impactful visualisations.
- Company: Farewill, a forward-thinking company focused on making a difference in people's lives.
- Benefits: Competitive salary, stock options, generous leave, and personal development budget.
- Why this job: Join a dynamic team and see your analysis make a real impact on the business.
- Qualifications: 3+ years of experience in data analysis, SQL skills, and a knack for clear visualisation.
- Other info: Enjoy a hybrid work environment with regular team socials and growth opportunities.
The predicted salary is between 55000 - 65000 £ per year.
We’re looking for a dynamic and strategic Data Analyst to help us level up how Farewill does data analytics and reporting. You will report directly to our VP Finance, and you’ll work alongside our Senior Analytics Engineer and our Business Unit Leads to provide data that drives key business decisions on a daily basis. You won’t be starting from scratch: we have a comprehensive data warehouse and suite of visualisations, and a great culture of using our data to make decisions. But there is work to be done to simplify the warehouse, update core tables with approved definitions, and review our reporting suite to make sure that it empowers stakeholders with insight and the ability to self-serve. There will be a particular focus on aligning real-time product performance financial metrics with those used in our accounting suite.
Over the next year, you will take on challenges like:
- Redesigning our core company KPI metrics and dashboards, making information accessible via clear and insightful visualisations
- Creating real-time reporting for our financial metrics, accurate revenue reported next day with clear dashboards
- Supporting Finance and other teams with impactful analytics projects, product pricing, variance analysis vs budget, mix analysis
- Partnering with other stakeholders on ad hoc analysis and insights
About you:
- You consider yourself a highly numerate and commercial general analyst, and have at least 3 years of working experience
- You’re great at creating clear visualisations and dashboards, and structuring reporting suites
- You have experience writing SQL (bonus if BigQuery) and using a modern data tech stack including cloud data platforms and visualisation tools
- You make the complex simple. You’re thorough and detail-oriented, but also pragmatic and able to identify when tradeoffs need to be made (and to communicate what those tradeoffs are!)
- You know how to scale yourself. As a member of a small team, you understand the need to take a strategic approach to data, with a focus on building complete self-service solutions
- You love seeing your analysis drive real business impact. This requires great communication and teamwork. When you spot an interesting pattern in your data you’re proactive in sharing it and figuring out what it means
- You ideally have some finance and accounting knowledge, but this isn’t strictly necessary
What we offer:
- A competitive salary of £55-65k + stock options
- 28 days of annual leave plus the usual public holidays
- Personal development budget of 3 days and £1000 per year
- Hybrid working; our team works a minimum of 2 days/week in our lovely East London (Haggerston) office
- Regular team socials & company-wide events
- A chance to make a meaningful contribution to people's lives and deaths
Data Analyst in London employer: Farewill
Contact Detail:
Farewill 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 current employees at Farewill on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data visualisation techniques. Be ready to showcase how you've simplified complex data in the past. We love seeing candidates who can make the complex simple!
✨Tip Number 3
Showcase your analytical mindset! During interviews, share specific examples of how your analysis has driven business impact. We want to see that you’re proactive and can communicate insights effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Farewill.
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 Data Analyst role. Highlight your experience with SQL, data visualisation, and any relevant projects that showcase your analytical skills. We want to see how you can make complex data simple!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how your skills align with our needs. Don’t forget to mention any experience you have with financial metrics or dashboards.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them in your application. Whether it's a dashboard you built or an analysis that drove business decisions, we love seeing real-world examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Farewill
✨Know Your Data Inside Out
Before the interview, dive deep into the data analytics landscape of the company. Familiarise yourself with their existing data warehouse and reporting suite. Be ready to discuss how you can simplify processes and enhance visualisations, as this will show your proactive approach and understanding of their needs.
✨Showcase Your SQL Skills
Since SQL is a key part of the role, prepare to demonstrate your proficiency. Bring examples of past projects where you've used SQL to drive insights or create dashboards. If you have experience with BigQuery, make sure to highlight that too, as it could give you an edge.
✨Communicate Clearly and Effectively
As a Data Analyst, your ability to communicate complex data in a simple way is crucial. Practice explaining your past analyses and findings in layman's terms. This will not only showcase your analytical skills but also your ability to collaborate with non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and strategic thinking. Think of scenarios where you've had to make trade-offs in your analysis or where your insights led to significant business decisions. Being able to articulate these experiences will demonstrate your value to the team.