Business Systems Analyst

AMD is a technology company powering the next generation of supercomputing, high-performance computing, cloud, and AI. The Business Systems Analyst will develop analytics applications, process and analyze large datasets, create data models and dashboards, and deliver data-driven insights to support business decisions and improve operations.

Responsibilities:

• Develop and implement techniques or analytics applications to transform data into meaningful information using data-oriented programming languages and visualization software
• Extract, clean, and process large datasets using SQL, SSAS, SAP ERP, Excel macros, VBA, MDX query language, DAX, and other data tools to ensure data quality and integrity for analysis
• Perform detailed data analysis to support various business decisions, identifying trends, anomalies, and actionable insights
• Design and maintain data models that ensure accurate tracking of accounting metrics, focusing on improving data flow and structure
• Develop and maintain analytics reports and dashboards using tools such as Power BI, providing key business stakeholders with real-time insights
• Analyze business processes, identify inefficiencies, and propose data-driven solutions to improve overall operations
• Visualize data in an understandable and actionable format, ensuring business teams can make informed decisions
• Create models that tie together various metrics into a single cohesive data model that lends itself to further operational analytics
• Work closely with business stakeholders to gather requirements and ensure that the data being collected and analyzed aligns with business needs

Requirements:

• Travel required: NO
• Master's degree or foreign equivalent in Business Analytics, Data Science, I.T., Computer Science, or related field
• • Utilizing MDS and Excel to create macros and interface with databases
• • Predictive modelling and forecasting
• • Performing analysis of large data sets
• • C, C++, or Python programming
• • ETL and data warehousing
• • Data mining and visualization using Tableau or PowerBI; and
• • SQL
• Experience may be gained through graduate-level coursework, research, or internship experience