Senior Business Intelligence Engineer

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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna New Mobility is a business unit inside Magna International leveraging Magna's technology building blocks, developing new capabilities, and entering new markets and use cases. Our products include advanced solutions for urban markets, industrial intralogistics, commercial and autonomous vehicles.
Magna New Mobility is also creating advanced software solutions that integrate with next-generation hardware. Our software is a core driver - turning our hardware into smart, integrated platforms for partners eager to advance the mobility sector.
Magna's New Mobility group is not just about building individual technologies; we aim to create integrated solutions that address the complex challenges of moving people efficiently and cost effectively in the 21st century. Join us in advancing and shaping the future of mobility.
Job Responsibilities:
We are seeking a Senior Business Intelligence (BI) Engineer with strong expertise in Amazon QuickSight to lead the design, development, and optimization of enterprise BI solutions. The ideal candidate is a hands-on builder who can move seamlessly between business conversations and technical execution-leading design sessions, building scalable data models, deploying production dashboards, and mentoring junior team members.
Essential Duties and Responsibilities:

• Lead the end-to-end design, development, and deployment of BI dashboards and reports using Amazon QuickSight.

• Proactively engage with business stakeholders to understand operational goals, uncover pain points, and translate them into impactful KPIs and reporting solutions.

• Ensure BI solutions are optimized for performance, usability, and data accuracy, including SPICE tuning, dataset refresh strategies, and RLS configuration

• Work hands-on throughout the lifecycle-from requirements gathering to dashboard development, testing, deployment, and continuous improvement.

• Mentor junior BI team members and establish best practices in dashboard development, data governance, and visualization standards.

Education / Experience:

• Bachelor's Degree in Engineering or related field required, Master's Degree preferred.
• 5+ years of experience in BI, data analytics, or data engineering roles required.

• Experience with Amazon QuickSight (dashboard design, data preparation, row-level security, embedding, SPICE optimization) is required.

• Proficiency in SQL for complex queries and data transformations is required.

• Experience with cloud-based data warehouses (Databricks, AWS Redshift, Snowflake, BigQuery, Databricks Delta, or similar) is required.

• Strong understanding of BI design principles, data visualization best practices, and KPI measurement.

• Ability to work directly with senior business leaders, communicate insights effectively, and influence decisions.

• Strong problem-solving skills and ability to thrive in fast-paced environments.

Special Knowledge / Skills:

• Familiarity with ETL/ELT tools (e.g., dbt, Databricks).

• Exposure to other BI tools (Tableau, Power BI) but with primary expertise in QuickSight.

• Experience in manufacturing, supply chain, logistics, or automotive industry analytics is a plus.

• Strong mentoring and leadership experience in BI/Analytics teams.

Physical Demands / Work Environment:

• Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.

Hiring Base Salary Range: $85,670 - $159,110 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data). In addition to base salary, some positions are eligible for an annual performance based bonus.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
Notice regarding the use of AI:
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system.
These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team.
Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Corporate