Data Analyst – Automotive Engineer

Job title: Data Analyst – Automotive Engineer

Company: Syntronic

Job description: Join Syntronic: Where Your Innovation Shapes the FutureAt Syntronic, we don’t just follow industry trends-we set them! Join us in partnering with visionary companies and the brightest minds to turn ground-breaking ideas into reality. Imagine working on cutting-edge telecom advancements, pioneering automotive tech, life-saving healthcare innovations, and next-gen industrial automation. Our projects are diverse, impactful, and at the forefront of technological innovation. Be a part of something extraordinary!Who are we?:Syntronic is a global leader in design and development, specializing in electronics, electro-mechanics, and software. We’re not just a company; we’re a community of innovators. Our teams work on projects that define the future-from creating state-of-the-art communication systems and autonomous vehicles to advancing IoT solutions that revolutionize everyday life. At Syntronic, your work will make a real difference.What we’re looking for:We are seeking individuals who want to:· Collaborate with top-tier clients on transformative, cutting-edge projects.· Engage with and learn from industry leaders· Innovate from concept to completion, ensuring high standards.· Gain international experience on global projects.· Thrive in an entrepreneurial environment that supports new ideas.· Explore multiple sectors like telecommunications, automotive, healthcare, and industrial automation. \nWhat You Will Do:

• Collaborate with various internal clients, understand their requests, and develop data-driven solutions using diverse data

results in a clear and effective format tailored to your audience, which may include engineers, sales teams, or in a fast-paced, high-volume data-processing environment, ensuring high standards of quality and attention to detail in your and validate upstream data quality issues before building advanced analytical actively in an agile product development environment, including stand-up meetings, sprint planning, demos, and contribute to improving product quality through data analysis, focusing on connected vehicle data and issues like system resets, connection failures, and more.What You Must Have to Get the Job Done:

• Strong experience (5+ years) analyzing data using SQL (MS SQL Server or equivalent).
• Proven ability to interrogate data for quality assurance before building advanced data

in programming with one or more of the following languages: Python, R, or C#. * Experience working with extract, transform, and load (ETL) processes for various data types (structured and semi-structured) and using different protocols (e.g., API calls with OAuth mechanisms).

• The ability to translate loosely defined business problems into practical data solutions and present your findings to stakeholders.

What Really Makes Us Love You:

• You have experience with Google Cloud Platform (GCP) data analytics stacks, including BigQuery, DataFlow, CloudSQL, DBT, CloudRun, and Cloud

are skilled at using data visualization tools like Looker, PowerBI, or similar platforms to present insights ‘re passionate about data quality, always ensuring it meets high standards before proceeding with are a great communicator who can explain complex data insights in a way that’s accessible to non-technical thrive in fast-paced environments and are excited about driving improvements through data to enhance user experiences in the automotive industry.\nWhat you’ll love about us:At Syntronic, our employees are our greatest asset. We foster innovation, collaboration, and excellence, offering opportunities for personal and professional growth. Join a global community that values creativity and diversity.Ready to Shape the Future with Us?If you’re ready to elevate your career and be part of a team that’s making a real impact, we want to hear from you. Apply today and embark on your journey with Syntronic, where your ideas and innovations can truly make a difference.

Expected salary:

Location: Markham, ON

Job date: Sat, 21 Sep 2024 06:19:53 GMT

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