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- Tasks: Build data transformation models and create insightful dashboards for an outdoor brand.
- Company: Innovative outdoor brand based in the beautiful New Forest.
- Benefits: Competitive salary, generous benefits, and supportive work culture.
- Other info: Great opportunity for career growth in a creative environment.
- Why this job: Join a dynamic team and make data-driven decisions that impact the brand.
- Qualifications: 2+ years of experience with SQL, BI tools, and data structures.
The predicted salary is between 35000 - 45000 £ per year.
An innovative outdoor brand based in the New Forest is seeking an Analytics Engineer to join their data team. The successful candidate will be responsible for building and maintaining data transformation models and creating insightful dashboards.
Essential qualifications include:
- 2+ years of relevant experience
- A strong foundation in SQL, BI tools, and data structures
The role offers a supportive culture, competitive salary, and generous benefits including annual leave and private medical insurance.
Analytics Engineer: AI-Powered BI & Data Storytelling in New Milton employer: Passenger
Contact Detail:
Passenger Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: AI-Powered BI & Data Storytelling in New Milton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in analytics or at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data transformation models and dashboards. This is your chance to demonstrate your SQL prowess and BI tool expertise in a way that words alone can't.
✨Tip Number 3
Prepare for the interview by brushing up on common analytics scenarios. Think about how you'd tackle real-world problems using data storytelling. We want you to shine when discussing your approach to data!
✨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 innovative team.
We think you need these skills to ace Analytics Engineer: AI-Powered BI & Data Storytelling in New Milton
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, BI tools, and data structures in your application. We want to see how your skills align with what we’re looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to building data transformation models and creating dashboards. It’ll help us see why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Passenger
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with data transformation models and how you've used SQL in past projects. Practising common SQL queries can help you feel more confident.
✨Showcase Your BI Tool Expertise
Familiarise yourself with the BI tools mentioned in the job description. If you have experience with specific tools, be ready to share examples of dashboards you've created and how they provided insights. This will demonstrate your hands-on experience and problem-solving skills.
✨Prepare for Data Storytelling
Since the role involves data storytelling, think about how you can convey complex data in a simple way. Prepare a few examples where you've turned data into actionable insights. This will show your ability to communicate effectively with both technical and non-technical stakeholders.
✨Emphasise Cultural Fit
Research the company culture and values of the outdoor brand. During the interview, express why you’re excited about joining their team and how your values align with theirs. A good cultural fit is just as important as technical skills, so let your personality shine!