Analytics Consultant

Analytics Consultant

Slough Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build scalable data pipelines for exciting client projects.
  • Company: Brio Digital partners with a leading consultancy to deliver top-notch analytics solutions.
  • Benefits: Enjoy a hybrid work model and competitive salary up to £80,000 per annum.
  • Why this job: Join a fast-paced environment, mentor juniors, and make a real impact on client success.
  • Qualifications: Experience in analytics engineering and a passion for data-driven solutions are essential.
  • Other info: Work closely with stakeholders and leverage modern cloud platforms.

The predicted salary is between 48000 - 72000 £ per year.

Brio Digital is proud to be partnering with a leading consultancy to help them find a talented Analytics Engineer to join their growing team.

Hybrid – 3 days a week on-site in London

Up to £80,000 per annum

The Role

As an Analytics Engineer , you’ll work across a range of exciting client projects, designing and building scalable data pipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy.

What You’ll Be Doing

  • Building robust, scalable data pipelines across multiple client projects
  • Presenting insights and technical solutions directly to clients
  • Supporting and mentoring junior engineers within the team
  • Collaborating with cross-functional teams to deliver end-to-end analytics solutions
  • Leveraging modern cloud platforms and visualisation tools to drive client value

Analytics Consultant employer: Brio Digital

Brio Digital is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong focus on employee growth, you will have the opportunity to mentor junior engineers while working on diverse client projects that challenge and enhance your skills. The hybrid work model allows for flexibility, ensuring a healthy work-life balance while being part of a leading consultancy that values your contributions.
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Contact Detail:

Brio Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Consultant

✨Tip Number 1

Familiarise yourself with the latest data pipeline technologies and cloud platforms that are commonly used in the industry. Being able to discuss specific tools and your experience with them during interviews will show your technical expertise and readiness for the role.

✨Tip Number 2

Prepare to showcase your client-facing skills by thinking of examples where you've successfully communicated complex data insights to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business needs, which is crucial for an Analytics Consultant.

✨Tip Number 3

Highlight any mentoring or leadership experiences you have had, especially in a technical context. Being able to illustrate how you've supported junior team members will resonate well with the consultancy's focus on team collaboration and development.

✨Tip Number 4

Research the consultancy's recent projects and case studies to understand their approach and values. This knowledge will not only help you tailor your responses during interviews but also show your genuine interest in the company and its work.

We think you need these skills to ace Analytics Consultant

Data Pipeline Development
Cloud Platform Proficiency
Data Visualisation Tools
Client Engagement Skills
Stakeholder Management
Mentoring and Coaching
Cross-Functional Collaboration
Analytical Thinking
Problem-Solving Skills
SQL Proficiency
Python or R Programming
Data Modelling
ETL Processes
Communication Skills
Adaptability in Fast-Paced Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in analytics and data engineering. Focus on projects where you've built data pipelines or worked with large datasets, as this aligns with the role's requirements.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the consultancy environment and your ability to work with stakeholders. Mention specific examples of how you've mentored junior team members or collaborated on cross-functional projects.

Showcase Technical Skills: Clearly outline your technical skills related to data engineering, cloud platforms, and visualisation tools. Use bullet points to make this information easy to read and ensure it matches the job description.

Prepare for Client-Facing Scenarios: Since this is a client-facing role, think about how you would present insights and solutions to clients. Prepare examples of past experiences where you've successfully communicated technical information to non-technical stakeholders.

How to prepare for a job interview at Brio Digital

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data pipelines and analytics tools. Highlight specific projects where you've built scalable solutions, and be ready to explain the technologies you used and the impact they had on the project.

✨Demonstrate Client-Facing Experience

Since this role involves direct interaction with clients, share examples of how you've successfully communicated technical concepts to non-technical stakeholders. This will show your ability to bridge the gap between technical and business needs.

✨Emphasise Mentorship Abilities

As mentoring junior engineers is a key part of the role, discuss any previous experience you have in training or guiding others. Share specific instances where your mentorship led to positive outcomes for your team.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in past projects and how you overcame them, particularly in a consultancy environment.

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