Data Center Engineering Data Analyst

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Written by AI from the job title and company, not by Oracle, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Center Engineering Data Analyst at Oracle will play a pivotal role in supporting the operational excellence of our global data centers. The analyst will be responsible for collecting, analyzing, and interpreting data to enhance performance, optimize processes, and support engineering projects. Through data-driven insights, the analyst will contribute to strategic decision-making, ensuring that our data centers operate efficiently and effectively while continuously meeting the growing demands of our clients.

Job Responsibilities

• Collect, clean, and analyze data from various sources to identify trends and opportunities for operational improvement.
• Collaborate with engineering teams to develop metrics and dashboards that provide insights into data center performance.
• Assist in the design and implementation of data-driven solutions to enhance data center efficiency and productivity.
• Conduct thorough data validation and verification processes to ensure accuracy and reliability in reporting.
• Support project management activities by providing data analysis and forecasts to inform strategic planning.
• Identify areas for automation and efficiency gains within data collection and reporting processes.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.
• 2-4 years of experience in data analysis, preferably within a data center or engineering environment.
• Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI.
• Strong analytical skills with the ability to interpret complex data sets and communicate findings effectively.
• Familiarity with programming languages such as Python or R is a plus.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

This position will utilize a variety of technologies and tools including, but not limited to, SQL for database management, Tableau and Power BI for data visualization, Python or R for data analysis, and various data processing platforms and cloud services. Familiarity with project management software and collaboration tools will also be beneficial for streamlining workflows and communications.

Ideal Candidates

The ideal candidate for the Data Center Engineering Data Analyst role possesses a strong analytical mindset coupled with a results-driven approach. They thrive in dynamic environments and are adept at working collaboratively with cross-functional teams. Exceptional communication skills are essential, enabling them to convey complex data insights in a clear and concise manner. A proactive attitude towards problem-solving and a genuine enthusiasm for harnessing data to drive operational improvements will also distinguish exemplary candidates.