Data Analyst

Shanghai, CN, 201807

Volvo Group

14 brands. Over 100,000 employees. 190 markets. Trucks, buses, construction equipment, marine and industrial engines. Complete solutions for financing and service.

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Do you share our devotion to safety?


For nearly a century, Volvo Cars has been a symbol of automotive safety, committed to protecting our world and the people in it. Now, we're paving the way toward a future where collisions belong to the past. And it's not just about technology; it's about our devotion to safety and our promise to make the world a safer place. So if you feel strongly about creating a safer world, join us in shaping a collision-free tomorrow. 

 

Let's introduce ourselves

What you'll do

  • Collaborate with cross-functional teams to understand their needs and translate them into data-driven solutions.
  • Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner.
  • Design and implement data models and dashboards to monitor and report on key quality metrics.
  • Utilize AI and ML techniques to identify patterns, trends, and anomalies in quality data.
  • Develop, maintain, and optimize data pipelines that support quality analytics.
  • Ensure data accuracy, integrity, and security across all data-related activities.
  • Contribute to the development of best practices for data management and analysis within quality.
  • Conduct advanced analysis using statistical tools and predictive modeling to improve product and process quality.
  • Stay current with industry trends, especially in the areas of AI and ML, and apply relevant advancements to the quality function.

What you'll bring

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. Master’s degree is preferred.
  • Proven experience (minimum 3 years) as a Data Analyst, preferably in a quality or manufacturing environment.
  • Strong proficiency in SQL, Python, R, or other programming languages commonly used for data analysis.
  • Experience with AI and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases.
  • Proficiency in data visualization tool Power BI.
  • Solid understanding of statistical analysis and predictive modeling.
  • Strong communication and presentation skills, with the ability to explain complex concepts to a non-technical audience.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Project management skills, with the ability to handle multiple projects simultaneously.
  • Preferred Skills:
  • Experience with cloud platforms (AWS, Azure, Snowflake) and their respective data and AI/ML services.
  • Certification in data science, machine learning, or related fields.
     


Ready to Take the Next Step?


Please submit your application through our career page. Due to GDPR regulations, we’re unable to store or consider applications from other platforms. Make sure to submit your application in English.

 

 


Volvo Cars – driving change together


Volvo Cars’ success is the result of a collaborative, diverse and inclusive working environment. Today, we’re one of the most well-known and respected car brands, with around 43,000 employees across the globe. At Volvo Cars, your career is designed around your skills and aspirations, so you can reach your fullest potential.

And it’s so exciting – we’re well on our way on our journey towards full electrification. We have five fully electric cars already on the market, and five more on the way. Our fully-electric and plug-in hybrid cars combined make up almost 50 per cent of our sales. So come and join us in shaping the future of mobility. There’s never been a more rewarding time to play your part in our inspiring and creative teams!

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  0  0
Category: Analyst Jobs

Tags: AWS Azure Big Data Computer Science Data analysis Data management Data pipelines Data visualization Engineering Hadoop Machine Learning Mathematics NoSQL Pipelines Power BI Predictive modeling Python PyTorch R Scikit-learn Security Snowflake Spark SQL Statistics TensorFlow

Perks/benefits: Career development

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