Senior Data Analytics Engineer Job Details | JLR
Senior Data Analytics Engineer Job Details | JLR

Senior Data Analytics Engineer Job Details | JLR

Coventry Full-Time 44000 - 56000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and optimise data pipelines while collaborating with diverse teams.
  • Company: Join JLR, a leader in luxury automotive innovation and sustainability.
  • Benefits: Enjoy flexible working, competitive pay, and perks like discounted car purchases.
  • Why this job: Be part of a transformative analytics team making a real impact on customer experience.
  • Qualifications: Strong background in Data Analytics, Python, and GCP required.
  • Other info: Open to applicants from all backgrounds; growth opportunities available.

The predicted salary is between 44000 - 56000 £ per year.

In a commercial role at JLR, you can reimagine the future of modern luxury. In teams focused on extraordinary customer experience, sustainability and forward-thinking. You’ll work alongside strategically-minded problem-solvers supporting the transformation of our iconic house of brands – Range Rover, Defender, Discovery, and Jaguar – and our heritage-rich JLR Classic range. Becoming a proud creator of the exceptional starts here.

This is an amazing opportunity within Data Analytics where you truly can put your ideas out there and watch them become a reality as part of this highly innovative team. You will ideally come from a strong Data Analytics background and have strong levels of experience with GCP and Python. We are currently undergoing an ambitious transformation program that entails building a robust in-house analytics team to handle the integration, modelling, prediction and inference of all customer quality issues utilising the best-in-class data analytics and machine learning tools and methods. This new analytics team will be responsible for developing and delivering our analytics strategy, coordinating our in-house analytics capability and solving our most complex analytics problems. To do this we are assembling an expert multi-disciplinary team of analytics professionals from a wide range of backgrounds.

The role will require working within analytics project teams and with a wide range of functional business partners. You’ll focus on creating overall data & systems architecture to ensure business needs are met and Digital standards are maintained.

WHAT TO EXPECT

In this role, no two tasks are the same. With lots of projects and relationships to build with people across the business and beyond, it’s a challenge that will help your career grow within an iconic organisation. Here’s what to expect:

  • Design, develop, and optimize scalable data pipelines, data models, and ETL processes while ensuring data quality and integrity
  • Partner with business stakeholders to translate business requirements into technical specifications and ensure alignment
  • Deliver financial value to the business through analytics projects and enablement of future technologies such as GenAI & IoT
  • Manage projects/tasks using Agile/ DevOps development methodologies
  • Define and implement efficient, scalable, and secure data architectures to support analytics and business needs

WHAT YOU'LL NEED

In addition to your drive for excellence, you’ll bring certain skills, qualifications and experience, including:

  • Excellent communication and stakeholder management skills
  • Previous experience of working with Python and GCP
  • Experience of refactoring prototype data pipeline designs for scaling and regular execution
  • Understands query optimisation, efficient code design, version control and collaborative development

THE BENEFITS

This role is rewarding in more ways than one. On top of our core offering, you’ll do extraordinary work with amazing people. In addition, you can expect a wide range of benefits:

  • Discounted car purchase and lease scheme (open to family members, too)
  • A 52-week maternity leave policy and a 4-week paternity leave policy. Other parental leave policies are available.
  • A competitive pension and optional private medical cover
  • A JLR company performance-related bonus
  • An employee learning scheme providing funding for education, training and other activities which support the development of personal skills and promote lifelong learning.
  • Access to open, employee-led support and social networks
  • Flexible working

Creating Modern Luxury requires a modern approach to work. At JLR, hybrid working is a voluntary, non-contractual arrangement providing employees more choice and flexibility around how, when and where they work. Some roles require more on-site work, but details of this can be discussed with the hiring manager during the interview stage. We work hard to nurture a culture that is inclusive and welcoming to all. We understand candidates may require reasonable adjustments during the recruitment process. Please discuss these with your recruiter so we can accommodate your needs. Applicants from all backgrounds are welcome. If you’re unsure that you meet the full criteria of a role – but you’re interested in where it could take you – we still encourage you to apply. We believe in people's ability to grow and develop within their role – it’s what makes living the exceptional with soul possible. JLR is committed to equal opportunity for all.

Senior Data Analytics Engineer Job Details | JLR employer: Jaguar Land Rover

At JLR, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Coventry where innovation meets luxury. Our commitment to employee growth is evident through our comprehensive learning schemes and flexible working arrangements, allowing you to thrive while contributing to the transformation of our iconic brands. Join us to collaborate with talented professionals and make a meaningful impact in the world of data analytics, all while enjoying a range of attractive benefits including competitive bonuses and generous parental leave policies.
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Contact Detail:

Jaguar Land Rover Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analytics Engineer Job Details | JLR

✨Tip Number 1

Familiarise yourself with JLR's brand values and recent projects. Understanding their focus on customer experience and sustainability will help you align your skills and experiences with their mission during discussions.

✨Tip Number 2

Network with current or former employees of JLR, especially those in analytics roles. They can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.

✨Tip Number 3

Brush up on your knowledge of GCP and Python, focusing on practical applications relevant to data analytics. Be ready to discuss specific projects where you've successfully implemented these technologies.

✨Tip Number 4

Prepare to demonstrate your understanding of Agile and DevOps methodologies. Think of examples from your past work where you effectively managed projects or collaborated within a team using these approaches.

We think you need these skills to ace Senior Data Analytics Engineer Job Details | JLR

Data Analytics
Python Programming
Google Cloud Platform (GCP)
Data Pipeline Development
ETL Processes
Data Modelling
Query Optimisation
Version Control
Agile Methodologies
DevOps Practices
Stakeholder Management
Communication Skills
Data Architecture Design
Problem-Solving Skills
Collaboration and Teamwork

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and GCP, as these are crucial for the Senior Data Analytics Engineer role. Use specific examples of projects where you've designed data pipelines or optimised data models.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how you can contribute to JLR's transformation programme. Mention your understanding of Agile/DevOps methodologies and how you've successfully managed projects in the past.

Showcase Communication Skills: Since excellent communication and stakeholder management skills are essential, provide examples in your application that demonstrate your ability to translate complex technical requirements into understandable terms for business stakeholders.

Highlight Continuous Learning: Mention any relevant training or certifications you've completed, especially those related to data analytics, machine learning, or new technologies like GenAI & IoT. This shows your commitment to personal development and aligns with JLR's values.

How to prepare for a job interview at Jaguar Land Rover

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python and GCP in detail. Bring examples of projects where you've successfully implemented data pipelines or analytics solutions, as this will demonstrate your technical proficiency and problem-solving abilities.

✨Understand the Business Context

Research JLR's brands and their focus on customer experience and sustainability. Be ready to explain how your work in data analytics can contribute to these goals, showing that you understand the broader business implications of your role.

✨Emphasise Communication Skills

Since the role involves working with various stakeholders, highlight your communication and stakeholder management skills. Prepare examples of how you've effectively collaborated with non-technical teams to translate complex data insights into actionable business strategies.

✨Familiarise Yourself with Agile Methodologies

As the position requires managing projects using Agile/DevOps methodologies, brush up on these concepts. Be ready to discuss your experience with Agile practices and how they can enhance project delivery and team collaboration.

Senior Data Analytics Engineer Job Details | JLR
Jaguar Land Rover
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  • Senior Data Analytics Engineer Job Details | JLR

    Coventry
    Full-Time
    44000 - 56000 £ / year (est.)

    Application deadline: 2027-07-06

  • J

    Jaguar Land Rover

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