Analytics Engineer: Revenue-Driven Data Infrastructure
Analytics Engineer: Revenue-Driven Data Infrastructure

Analytics Engineer: Revenue-Driven Data Infrastructure

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement data infrastructure to support revenue-generating tools for sales teams.
  • Company: Leading data consultancy in Greater London with a high-impact data team.
  • Benefits: Hybrid working arrangements, competitive salary, and opportunities for strategic influence.
  • Why this job: Make a real impact by crafting scalable data pipelines and ensuring data quality.
  • Qualifications: Strong SQL and Python skills, plus experience with dbt, GCP, and data modeling.
  • Other info: Join a dynamic team focused on innovation and growth.

The predicted salary is between 36000 - 60000 £ per year.

A leading data consultancy in Greater London is seeking an Analytics Engineer to join their high-impact data team. You will design and implement data infrastructure that supports revenue-generating tools for sales teams. Your role includes crafting scalable data pipelines and maintaining high standards of data quality.

The ideal candidate will possess strong SQL and Python skills, and experience with dbt, GCP, and data modeling. This position offers a blend of technical work and strategic influence, with hybrid working arrangements.

Analytics Engineer: Revenue-Driven Data Infrastructure employer: Holt Executive Ltd

As a leading data consultancy in Greater London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work on impactful projects that drive revenue for our clients. Our hybrid working arrangements ensure a healthy work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in data analytics.
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Contact Detail:

Holt Executive Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer: Revenue-Driven Data Infrastructure

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL and Python projects. We want to see how you’ve crafted those data pipelines and maintained data quality. A strong portfolio can really set you apart from the crowd.

✨Tip Number 3

Prepare for the interview like it’s the final exam! Research the company and their data infrastructure needs. We suggest practising common technical questions related to dbt, GCP, and data modelling to show you’re ready to hit the ground running.

✨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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Analytics Engineer: Revenue-Driven Data Infrastructure

SQL
Python
dbt
GCP
Data Modeling
Data Pipeline Design
Data Quality Maintenance
Analytical Skills
Strategic Thinking
Hybrid Working Adaptability

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in past projects, especially if you've worked with dbt or GCP!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Analytics Engineer role. We love seeing candidates who understand what we’re looking for.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the role.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!

How to prepare for a job interview at Holt Executive Ltd

✨Know Your Tech Inside Out

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data pipelines and quality maintenance.

✨Showcase Your Data Modelling Experience

Prepare examples of your experience with data modelling and dbt. Think about specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and strategic thinking.

✨Understand the Business Impact

Since this role is revenue-driven, be prepared to discuss how your work can directly influence sales teams. Research the company’s products and think about how effective data infrastructure can enhance their performance.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the tools they use, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Analytics Engineer: Revenue-Driven Data Infrastructure
Holt Executive Ltd
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  • Analytics Engineer: Revenue-Driven Data Infrastructure

    Full-Time
    36000 - 60000 £ / year (est.)
  • H

    Holt Executive Ltd

    50-100
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