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Magna InternationalVancouver, Metro Vancouver Regional District, CA
11 hours ago
Job type
Full-time
Job description
We are seeking a highly skilled and experienced Data Analyst / Specialist to join our team. As a Senior Data Analyst / Specialist, you will play a critical role in driving business growth and informed decision-making by analyzing complex data sets, identifying trends, and providing actionable insights to stakeholders.
Responsibilities
Conduct advanced statistical analysis, data mining, and machine learning to identify opportunities and predict outcomes.
Communicate complex data insights and recommendations to senior stakeholders, including executive leadership.
Analyze large, complex data sets to identify trends, patterns, and correlations.
Develop and maintain complex data models, dashboards, and reports using tools such as SQL, Python, R, and data visualization software.
Design, develop, and implement advanced data analytics solutions to drive business growth and optimization.
Collaborate with cross-functional teams to identify business requirements and provide data-driven solutions.
Develop and maintain data pipelines, ETL processes, and data architectures to support business intelligence and analytics initiatives.
Provide expert-level guidance on data governance, data quality, and data management best practices.
Requirements
Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering)
Minimum 1 year of experience in data analysis, business intelligence, or a related field
Proven expertise in advanced data analytics tools and techniques, including :
SQL and database management
Python, R, or other scripting languages
Data visualization software (e.g., Tableau, Power BI, D3.js)
Machine learning and statistical modeling
Strong communication and presentation skills, with ability to communicate complex data insights to non-technical stakeholders
Experience with data governance, data quality, and data management best practices
Strong business acumen and ability to drive business growth and optimization through data-driven insights
Preferred Qualifications
Advanced degree (MBA, MS, or Ph.D.) in a quantitative field
Professional certifications (e.g., Certified Data Analyst, Certified Business Intelligence Professional)
Experience with big data platforms (e.g., Hadoop, Spark, NoSQL)
Expertise in specific industries (e.g., finance, healthcare, retail)