Senior Data Analyst

Qualcomm • Austin, TX

1d

About The Position

Perform data analysis to support forecasting and capacity planning for storage and compute resources. Perform what-if analysis to support management decisions. Monitor, track and report metrics to enable business operations. Work with customers to ensure forecast resources are used efficiently and tracked accurately. Manage engineering forecast requests using the in-house tool. Define and manage processes to govern the data lifecycle - data retention and clean-up. Collaborate with other Engineering IT teams as well as Engineering Customers towards demand forecasting and streamlining business processes. Experience in data analytics in a customer interfacing role including: Data analysis and problem-solving skills, Advanced SQL and excel skills including ability to write VBA macros, understanding of probability and statistics, knowledge of visualization concepts and tools such as Tableau (desired), knowledge / experience in Data Life Cycle Management.

Requirements

• Data analysis and problem-solving skills
• Advanced SQL and excel skills including ability to write VBA macros
• Understanding of probability and statistics
• Knowledge / experience in Data Life Cycle Management
• Master's Degree (or foreign academic equivalent) in Computer Engineering, Electrical Engineering, Computer Science, Business Administration, Information Technology or related degree field.
• Bachelor's Degree (or foreign academic equivalent) in Computer Engineering, Electrical Engineering, Computer Science, Business Administration, Information Technology or related degree field and five (5) years of progressive experience in a related occupation.
• Employer will accept any suitable combination of education, training or experience.

Nice To Haves

• Knowledge of visualization concepts and tools such as Tableau

Responsibilities

• Perform data analysis to support forecasting and capacity planning for storage and compute resources.
• Perform what-if analysis to support management decisions.
• Monitor, track and report metrics to enable business operations.
• Work with customers to ensure forecast resources are used efficiently and tracked accurately.
• Manage engineering forecast requests using the in-house tool.
• Define and manage processes to govern the data lifecycle - data retention and clean-up.
• Collaborate with other Engineering IT teams as well as Engineering Customers towards demand forecasting and streamlining business processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level