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.
 

Job Title: Data Analytics Engineer

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 opportunity available as an Analytic Engineer to come join our team.
 

The Analytics Engineer acts as the bridge between data engineers and data analysts. It is their job to build well tested, up to date and documented datasets that the rest of the company can use to answer their own questions. They are technical enough to easily be able to apply software engineering best practices like version control and CI/CD but also need to be able to communicate effectively with stakeholders to understand the decisions to be made as input to defining the appropriate datasets.

Responsibilities:

1. Build data products that enable stakeholders to do their jobs effectively and answer their own questions.
2. Analyze and organize raw data to build data systems, algorithms, prototypes and pipelines.
3. Prepare data for prescriptive and predictive modeling to evaluate business needs and achieve objectives.
4. Use tools and techniques to visualize data in easy-to-understand formats.
5. Work with multi-functional stakeholders to assist with data-related technical issues and support their data infrastructure needs.

Requirements:

1. BS or MS in Computer Science or equivalent experience
2. Knowledge of Businesses Intelligence
3. Advanced working SQL knowledge. You should possess ability to write SQL which is easy to understand, simple to troubleshoot and that is highly performant.
4. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
5. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
6. Strong analytic skills related to working with unstructured datasets.
7. Strong project management and organizational skills.

Preferred Requirements:

1. Comfortable adopting software engineering best practices like version control and using Git and teaching others how to adopt these best practices.
2. Experience with SQL, NoSQL databases, including MySQL, Oracle, Snowflake, etc
3. Experience with object-oriented/object function scripting languages: Python, Java, R, etc.
4. Experience with data warehousing solutions, and ETL tools
5. Experience with PowerBI, Azure, DevOps, dbt
6. Experience with machine learning
7. Knowledge of Big Data-related skills like MapReduce, etc