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For Companies At a Glance
- Tasks: Drive data-focused projects and develop pipelines for innovative automotive solutions.
- Company: Lear Corporation, a global leader in automotive technology.
- Benefits: Learning opportunities, community engagement, and a people-first culture.
- Why this job: Make a real impact in the future of automotive technology.
- Qualifications: Master's degree in relevant fields and experience in data engineering.
- Other info: Join a diverse team with excellent growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Company Overview
Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world.
Our diverse team of more than 165,000 talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability.
Lear is Making every drive betterTM by providing the technology for safer, smarter, and more comfortable journeys.
Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #186 on the Fortune 500.
Further information about Lear is available at , or follow us on Twitter @LearCorporation.
Position Overview
As a data analyst you will be engaged with various departments to understand their business needs and challenges.
Based on these insights, you will conduct research and propose data-driven solutions whether through data pipelines, dashboards, or fully dynamic applications.
You will be responsible for developing solutions within the agreed scope and delivering them on time and in full.
This role requires strong communication skills and an outward mindset, enabling you to proactively suggest features that streamline digital processes, identify quick wins, and promptly escalate any issues as they arise.
Key Responsibilities
Engage in multiple projects at various stages – starting from initial problem definition or providing support during execution.
Work within Agile/Scrum frameworks, managing sprints and backlog tasks in a fast-paced environment.
Understand project and product delivery phases and provide expert analysis throughout the lifecycle.
Contribute to the discovery phase as a full-stack development expert, identifying technical challenges and proposing effective solutions.
Build mock-ups, demos, and solution skeletons to validate concepts early in the process.
Support ETL/ELT processes and perform data mining to prepare meaningful datasets for application development.
Analyse data to generate statistical insights, trends, and patterns for informed decision-making.
Build robust data pipelines using Python/PySpark or low-code tools (Pipeline builder), ensuring optimal configurations for performance and scalability (transaction types, write mode, computation profiles, projections etc.).
Design and implement relational data models and ontology objects.
Create dynamic, executable actions for end-users using TypeScript, SDKs, and other relevant tools.
Ensure efficient storage, computation profiles, and cost management from development through deployment.
Develop user-friendly, dynamic interfaces using Contour, Workshop and other relevant Foundry tools.
Utilize APIs and Webhooks to enhance solutions with advanced features.
Apply AI technologies (LLMs, chatbots, RAG) and develop ML models to automate processes and improve business efficiency.
Maintain clear, structured documentation for knowledge
Foundry Data Analyst employer: Lear Corporation
Contact Detail:
Lear Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundry Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lear Corporation on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data engineering skills. We should be ready to discuss our experience with Python, ETL processes, and how we’ve tackled data challenges in the past.
✨Tip Number 3
Showcase our problem-solving skills! During interviews, we can share specific examples of how we've used data to drive decisions or improve processes. Real-life stories resonate well with interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the Lear team.
We think you need these skills to ace Foundry Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Foundry Data Analyst role. Highlight your experience with data engineering, programming languages like Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the automotive industry and how you can contribute to Lear's mission. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with data pipelines, ETL processes, and any cloud-based platforms you've worked with. We’re keen on seeing how you can bring your expertise to our team!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Lear Corporation
✨Know Your Data Inside Out
Before the interview, dive deep into data engineering concepts, especially those related to Industry 4.0. Be prepared to discuss your experience with data pipelines, ETL processes, and how you've transformed big data into actionable insights.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your proficiency in Python and PySpark. Bring examples of projects where you've used these tools to solve real-world problems, and be ready to explain your thought process behind the solutions.
✨Understand Lear's Vision
Familiarise yourself with Lear Corporation’s mission and values. Knowing how they aim to enhance in-vehicle experiences will help you align your answers with their goals, showing that you're not just a fit for the role but also for the company culture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data analytics platform and how they approach data-driven decision-making. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
