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- 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.
Overview
Join to apply for the Foundry Data Analyst role at Lear Corporation.
Industry 4.0 data analyst. Driving the future of automotive. We’re Lear For You.
Company Overview Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear is Making every drive better 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 lear.com.
Position Overview As a data engineer you will be working with colleagues focused on understanding the operational Use Cases and Data scientists using ML models to deliver solutions to support business decisions. You will be responsible for the development of the data pipelines, their security, reliability and efficiency; supporting Industry 4.0 projects and the rollout of activities that are identified.
Key Responsibilities
- Manage the execution of data-focused projects using Lear’s data analytics and application platform as a member of the EU&AME team.
- Participate in multiple projects from conception to root cause analytics and solution deployment.
- Support the creation of a user toolset to be deployed as a regional standard across Lear for analyzing and presenting data effectively to senior management.
- Generate large databases from various sources of both structured and unstructured data.
- Utilize a range of programming languages to transform big data into manageable datasets.
- Translate technical data into understandable insights, providing recommendations and conclusions to stakeholders.
- Understand program and product delivery phases, contributing expert analysis across the lifecycle.
- Work with both new and legacy technologies to integrate separate data feeds and transform them into new scalable datasets.
- Ensure documentation and procedures align with internal practices (ITPM) and Sarbanes Oxley requirements, continuously improving them.
- Optimize system performance for all deployed resources.
Required Qualifications
- Master’s degree in Computer Science, Electronics or Systems/Software Engineering.
- Experience as part of an integrated data team.
- Strong business analysis/requirements analysis skills.
- Experience working within an Agile framework.
- 2-5 years’ experience in data engineering or optimization to support a high-volume manufacturing operation.
- Experience working with data for ML purposes.
Key Skills
- Expert level knowledge of data warehousing and/or relational databases.
- High level knowledge of Python and preferably PySpark.
- Experience in data mining methods and data tools.
- Experience with cloud-based data platforms.
- Knowledge of data lineage, transformation and quality analysis activities.
- Ability to access data sources to create new data extraction interfaces.
- Proven experience developing data pipelines and ETL processes from disparate data sources.
- Proficiency in English, spoken and written.
Why Lear
We offer a fantastic place to work, opportunities to grow and being part of a company that places its people first.
What We Offer
- Access to Learning and development opportunities
- Opportunities to give back to the community
- Meaningful work that makes a difference in the world
Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.
Applicants must submit their resumes using our applicant tracking system. Due to the high volume of applications, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies will not be paid a fee and will become the property of Lear Corporation.
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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.
