Data Analyst Student

1 Month ago • All levels • Data Analyst

Job Summary

Job Description

NVIDIA's Product and Analyst team seeks a Data Analyst Student to contribute to data analysis solutions, quality control, visual dashboards, and anomaly detection within their manufacturing processes. Responsibilities include developing anomaly detection and quality control practices for raw data, collaborating with data engineers and scientists, presenting insights to key stakeholders, interpreting data to identify trends, and partnering with business customers to design dashboards. The ideal candidate will possess experience with data analytics tools (Power BI, Tableau, etc.), SQL/NoSQL, and a basic understanding of statistics and machine learning.
Must have:
  • Experience with data analytics tools (Power BI, Tableau etc.)
  • Proficiency in SQL/NoSQL or similar scripting language
  • Basic understanding of statistics and machine learning
  • Excellent written and oral communication skills
Good to have:
  • Power BI experience
  • Python (Pandas, NumPy, SciPy, Matplotlib)
  • Version Control Systems (Git/SVN)
  • Jupyter Notebooks
  • MongoDB experience
Perks:
  • Highly competitive salary
  • Comprehensive benefits package

Job Details

We are looking for data analyst to join the Product and Analyst team and help us shape our data analysis solutions, quality control, visual dashboard, and anomaly detection across the manufacturing process. If you're experienced with various data analytics technologies, are a fast learner, and have a get things done mentality, we'd love to hear from you!

What you’ll be doing:

  • Develop anomaly detection and quality control practices for manufacturing process’s raw data.

  • Work closely with data engineers and data scientists to incorporate their expertise into projects that address business requirements.

  • Present insights and conclusions to key collaborators to build solutions for business questions and inform business strategy. 

  • Interpret data which will involve finding patterns or trends in data that will help answer business questions.

  • Partner with business customers to design and implement dashboard solutions to their business needs. 

What we need to see:

  • BSc/Msc student in Statistics, Engineering, Information Systems, or relevant field

  • Experience in processing and building visualizations using reporting tools such as Power BI, Tableau, JMP, Jupyter or other known tools.

  • Working experience with SQL, NoSQL, or other SQL-like scripting language.

  • Basic understanding of statistics and machine learning.

  • Excellent written and oral communication skills, particularly the ability to synthesize complex issues or scenarios into easy to-understand concept.

Ways to stand out from the crowd:

  • Experience with Power BI 

  • Experience with python modules such as: Pandas, NumPy, SciPy, Matplotlib.

  • Familiarity with VCS tools (Git or SVN).

  • Background with Jupyter notebooks.

  • Experience with MongoDB.

 

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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