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- Tasks: Design and maintain data models while implementing core business metrics.
- Company: Join Sosafe Awareness, a fast-growing team in cybersecurity.
- Benefits: Enjoy remote work flexibility and access to offices in London, Dublin, and Lisbon.
- Other info: Collaborate with data engineers in a dynamic and innovative environment.
- Why this job: Make a significant impact in the cybersecurity field with your analytics skills.
- Qualifications: 5+ years of experience in analytics, strong dbt and SQL proficiency required.
The predicted salary is between 60000 - 80000 £ per year.
Sosafe Awareness is seeking a skilled analytics engineer with over 5 years of experience, focusing on data modeling and analytics.
Responsibilities include:
- Designing and maintaining data models
- Implementing core business metrics
- Collaborating with data engineers
Strong proficiency in dbt and SQL is essential, and familiarity with cloud data warehouses like BigQuery, Snowflake, or Redshift is highly desirable.
The position offers remote work flexibility with access to offices in London, Dublin, and Lisbon. Join a fast-growing team making a significant impact in cybersecurity.
Senior Analytics Engineer: dbt, Metrics & Data Modeling employer: Sosafe Awareness
Contact Detail:
Sosafe Awareness Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: dbt, Metrics & Data Modeling
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field, especially those who work with dbt or cloud data warehouses. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and metrics implementations. This is your chance to demonstrate your expertise in SQL and dbt, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you've tackled data challenges in the past, especially in relation to cybersecurity. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Analytics Engineer: dbt, Metrics & Data Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with dbt, SQL, and data modelling. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about analytics and how you can contribute to our team. Be sure to mention any experience with cloud data warehouses like BigQuery or Snowflake.
Showcase Your Collaboration Skills: Since this role involves working closely with data engineers, highlight any past experiences where you've collaborated on projects. We love seeing teamwork in action, so share those stories!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sosafe Awareness
✨Know Your Tools Inside Out
Make sure you’re well-versed in dbt and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to share real examples will show your expertise and confidence.
✨Understand Data Modelling Fundamentals
Since the role focuses heavily on data modelling, take some time to review key concepts and best practices. Be prepared to explain your approach to designing data models and how you ensure they meet business needs.
✨Familiarise Yourself with Cloud Data Warehouses
If you have experience with BigQuery, Snowflake, or Redshift, make sure to highlight it. If not, do a bit of research on their functionalities and advantages. This shows your willingness to learn and adapt to new technologies.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so think of examples where you’ve worked closely with data engineers or other teams. Be ready to discuss how you communicate and solve problems together, as this will demonstrate your fit for the team.