Business Analyst - 79396

Location: Austin, Texas, US

Company: Advanced Micro Devices

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What you do at AMD changes everything 
 

At AMD, we push the boundaries of what is possible.  We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies – building blocks for gaming, immersive platforms, and the data center. 
 

Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile” to achieve unthinkable results.  It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world.   If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.
 

Business Analyst

THE ROLE:

We are looking for a hardworking individual who is passionate about implementing data science and operating analytical solutions that have a direct impact on AMD’s business. You will join a relatively new team, which means there is a lot of potential to grow. You will employ predictive modeling and statistical analysis techniques to build end-to-end solutions and help AMD to grow the business.

 

THE PERSON:

The person should have a passion for data science! He/she has SQL and programming skills (Python proficient also preferred) and has a good understanding of statistics and machine learning algorithms.

 

KEY RESPONSIBILITIES:

  • Partner and align with business leaders, stakeholders and business intelligence teams to understand the business needs and address them using predictive analytics
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
  • Sophisticated working SQL knowledge and experience working with relational databases, query (SQL) as well as working familiarity with a variety of databases.
  • Mine and analyze data from database and websites to drive optimization and improvement of product development, marketing techniques, and business strategies
  • Coordinate with different functional teams to implement models and supervise outcomes.
  • Deliver an ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
  • Collaborate with other teams to enrich the available data

 

PREFERRED EXPERIENCE:

  • Passion about data science and data engineering
  • Strong SQL Skill
  • Experience with relational SQL and No-SQL databases
  • Experience with data pipeline and workflow management tools, such as KNIME, Airflow, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, etc.
  • Experience with Jupyter Notebook to write readable code with Markdowns
  • Knowledge of sophisticated statistical techniques and concepts (regression, properties of distributions, statistical tests, and accurate usage, etc.) and experience with applications.
  • Understanding of statistical and predictive modeling concepts, machine-learning approaches (clustering and classification techniques), and their real-world advantages/drawbacks.
  • Knowledge of big data tools: Hadoop, Spark, etc.

 

ACADEMIC CREDENTIALS:

  • Bachelor’s degree in Applied Mathematics, Statistics, Physics, Computer Science, or related fields

 

LOCATION:

Austin, TX

 

 

#LI-ML2

 



Requisition Number: 79396 
Country: United States State: Texas City: Austin 
Job Function: Business Management
  

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.

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