Analytics Engineer: End-to-End Metrics & Dashboards
Analytics Engineer: End-to-End Metrics & Dashboards

Analytics Engineer: End-to-End Metrics & Dashboards

Full-Time 50000 - 65000 £ / year (est.) No home office possible
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ea Change

At a Glance

  • Tasks: Own the analytics layer by building dbt models and delivering impactful dashboards.
  • Company: A modern digital bank in London with a focus on innovation.
  • Benefits: Hybrid work model, 26 days holiday, private medical insurance, and bonuses.
  • Why this job: Make a real impact by transforming data into actionable insights.
  • Qualifications: Strong communication skills and experience with data warehousing tools.
  • Other info: Join a dynamic team with opportunities for growth and development.

The predicted salary is between 50000 - 65000 £ per year.

A modern digital bank in London is seeking an Analytics Engineer to own the analytics layer from building dbt models to delivering impactful dashboards. The role involves:

  • Building and maintaining dbt models
  • Designing dashboards in Power BI and Tableau
  • Collaborating with stakeholders

Ideal candidates will have strong communication skills and experience with data warehousing tools.

The company offers a hybrid work model, 26 days of holiday, private medical insurance, and a discretionary bonus.

Analytics Engineer: End-to-End Metrics & Dashboards employer: ea Change

As a modern digital bank located in the heart of London, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a strong emphasis on professional development, we offer numerous growth opportunities alongside a competitive benefits package, including 26 days of holiday and private medical insurance. Join us to be part of a forward-thinking team where your contributions directly impact our innovative analytics initiatives.
ea Change

Contact Detail:

ea Change Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer: End-to-End Metrics & Dashboards

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your dbt models and dashboards. This is your chance to demonstrate what you can do, so make it visually appealing and easy to navigate.

✨Tip Number 3

Prepare for the interview by brushing up on your communication skills. Practice explaining complex analytics concepts in simple terms, as you'll need to collaborate with various stakeholders.

✨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 take that extra step to connect with us directly.

We think you need these skills to ace Analytics Engineer: End-to-End Metrics & Dashboards

dbt
Power BI
Tableau
Data Warehousing
Communication Skills
Dashboard Design
Stakeholder Collaboration
Analytics

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with dbt models and data warehousing tools in your application. We want to see how you can bring your skills to the table and make an impact!

Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Analytics Engineer role. Mention your experience with Power BI and Tableau, and how you've collaborated with stakeholders in the past.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate strong communication skills, so make sure your writing reflects that. Avoid jargon unless it's relevant!

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 ea Change

✨Know Your Tools Inside Out

Make sure you’re well-versed in dbt, Power BI, and Tableau. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your technical expertise will show that you're the right fit for the role.

✨Showcase Your Communication Skills

Since collaboration with stakeholders is key, prepare examples of how you've effectively communicated complex data insights in the past. Think about times when you’ve had to explain your findings to non-technical team members and how you made it relatable.

✨Prepare for Scenario-Based Questions

Expect questions that ask how you would handle specific analytics challenges. Practice articulating your thought process for building dbt models or designing dashboards. This will help you convey your problem-solving skills and analytical mindset.

✨Research the Company Culture

Familiarise yourself with the company’s values and work environment, especially their hybrid model. Be ready to discuss how you can thrive in such a setting and contribute positively to their culture. This shows that you’re not just interested in the job, but also in being part of their team.

Analytics Engineer: End-to-End Metrics & Dashboards
ea Change
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