At a Glance
- Tasks: Own the analytics engineering layer and build impactful data models.
- Company: Join Graphcore, a leading tech company in Bristol.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation.
- Why this job: Make a real impact on decision-making through data across teams.
- Qualifications: Strong SQL and dbt model experience required.
The predicted salary is between 60000 - 80000 € per year.
Graphcore is seeking a Lead Analytics Engineer in Bristol to own the analytics engineering layer of its data platform. This senior role involves building and evolving data models, fostering relationships with stakeholders, and translating business needs into actionable datasets.
Key qualifications include:
- Strong SQL and dbt model experience
- Grasp of best practices in analytics engineering
The position offers the chance to impact decision-making through data across various teams within the organization.
Lead Analytics Engineer: Trusted Data Models & Metrics employer: graphcore
Graphcore is an exceptional employer that champions innovation and collaboration in the heart of Bristol. With a vibrant work culture that encourages professional growth, employees are empowered to make significant contributions to data-driven decision-making. The company offers competitive benefits and unique opportunities to work with cutting-edge technology, making it an ideal place for those seeking meaningful and rewarding careers in analytics engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer: Trusted Data Models & Metrics
✨Tip Number 1
Network like a pro! Reach out to current employees at Graphcore on LinkedIn or attend industry meetups. Building relationships can give us insider info and might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and dbt model projects. This will not only demonstrate your expertise but also give us something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by understanding Graphcore's data platform and its impact on decision-making. We should be ready to discuss how our experience aligns with their needs and how we can contribute to their goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that you’re genuinely interested in being part of the Graphcore team.
We think you need these skills to ace Lead Analytics Engineer: Trusted Data Models & Metrics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Analytics Engineer role. Highlight your SQL and dbt model experience, and don’t forget to showcase any projects where you’ve built data models or worked closely with stakeholders.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about analytics engineering and how your background makes you a perfect fit for Graphcore. Be sure to mention specific examples of how you've translated business needs into actionable datasets.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled complex data challenges. We want to see how you approach problems and come up with innovative solutions, especially in relation to building and evolving data models.
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 regarding your application status!
How to prepare for a job interview at graphcore
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and how you've used SQL to solve real-world problems. Practising some common SQL scenarios can really help you stand out.
✨Showcase Your dbt Expertise
Since this role involves dbt models, be ready to talk about your previous projects using dbt. Highlight specific examples where you've built or evolved data models, and explain how you ensured best practices were followed. This will demonstrate your technical prowess and understanding of analytics engineering.
✨Understand Stakeholder Needs
Fostering relationships with stakeholders is key in this role. Prepare to discuss how you've previously translated business needs into actionable datasets. Think of examples where your communication skills made a difference in project outcomes, as this will show your ability to bridge the gap between technical and non-technical teams.
✨Impact Through Data
Be ready to share how your work has influenced decision-making in past roles. Discuss specific metrics or insights you've provided that led to significant changes or improvements. This will illustrate your understanding of the broader impact of analytics and your potential contribution to Graphcore.
