Data Analyst

SHAPE THE FUTURE OF MOBILITY FROM DAY ONE.

This position is part of our Advanced Safety & User Experience segment.

Summary:

We are seeking a data analyst to collaborate with ADAS team members to extract insightful information out of the data lake. You will be responsible for designing highly scalable & user-friendly data processing pipelines/ frameworks that will serve as a platform to deploy big data analytics scripts on HPCC (High Performance Computing Cluster) environment.

Responsibilities:

• Collaborate with stakeholders on large data analytic needs and develop data solutions
• Develop innovative solutions to simplify workflows, automate tasks to improve the efficiency and productivity of development process
• Develop and deliver analytic products using typical data / analytics techniques, Story telling
• Provide solutions to ensure high quality of deliverables

Must Haves (Basic Qualifications):

• Bachelor's degree in engineering discipline (computer science, computer / electrical engineering, operations research, statistics artificial intelligence, or related field of study)

• At least 6 months of work experience in Automotive Industry or Consumer Electronics

• Bilingual - proficient in English speaking/reading/writing
• Interpersonal skills, strong analytical skills, strong problem-solving abilities, and a positive approach to challenge
• Cross functional interests, ambitious and self-driven. Adaptive, comfortable with ambiguity
• Ability to effectively manage several projects at once
• Strong soft skills: skilled networking creation, influencing skills, constantly learning, positive and ownership profile
• Experience in exploring analyzing massive / complex datasets and providing data-driven / quantitative problem-solving approach
• Familiar with visualization tools such as Qlik Sense, Tableau, Power BI, etc
• Familiar with Python, MatLab and Linux

Nice to Haves (Preferred Qualifications):

• Experience in SQL, MatLab (Simulink/Stateflow), and Git
• Experience in Python data science libraries and framework; pandas, NumPy, Matplotlib.
• Familiarity of High Performance Computing Cluster and relevant development tools
• Knowledge of and/or experience in ADAS / AD (Autonomous Driving) / automotive development process
• Agile software development experience and understanding of DevOps / CICD principles
• Nice to have: Experience in building machine learning and Deep Learning models
• Experience with building and maintaining distributed data pipelines

About Advanced Safety & User Experience

Advanced Safety & User Experience encompasses our deep expertise in centralized computing platforms, advanced safety systems and automated driving, while acknowledging the growth in areas that enrich the in-vehicle experience.

Why join us?

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.{You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Compensation package, including Major Medical Insurance & Life Insurance
• Flexible Retirement Plan
• Learning, professional growth and development in a world recognized international environment
• Access to internal & external training, coaching & certifications
• Recognition for innovation and excellence
• Opportunities to give back to the community
• Meaningful work that makes a difference in the world

Apply today, and together let's change tomorrow!

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.