Program Analyst - Data Analysis

Key Responsibilities:

1. Data Analysis: Perform detailed analysis of data center utilization, including the efficiency of engineering jobs executed on the data center.
2. Data Collection: Gather and compile data from various sources to ensure comprehensive analysis.
3. Reporting: Develop and present reports that highlight key findings, trends, and recommendations for optimizing data center performance.
4. Efficiency Evaluation: Assess the efficiency of engineering jobs and identify areas for improvement.
5. Collaboration: Work closely with cross-functional teams, including engineering, operations, and program management, to ensure alignment and effective data utilization.
6. Data Visualization: Create visual representations of data to facilitate understanding and decision-making.
7. Predictive Analysis: Utilize predictive analytics to forecast future data center utilization and efficiency trends.
8. Continuous Improvement: Propose and implement strategies for continuous improvement in data center operations based on analytical findings.

Qualifications:

1. Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
2. Experience: Minimum of 5 years of experience in data analysis, preferably in data center operations or a related industry.
3. Technical Skills: Proficiency in data analysis tools such as SQL, Python, R, and data visualization software like Tableau or Power BI.
4. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
5. Communication: Excellent verbal and written communication skills, with the ability to present data findings to both technical and non-technical audiences.
6. Team Player: Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
7. Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.
8. Technical Knowledge: Understanding of the basics of data center, server, and LSF (Load Sharing Facility) architecture.

Preferred Qualifications:

1. Experience with cloud computing platforms and data center technologies.
2. Knowledge of machine learning and predictive analytics techniques.
3. Familiarity with engineering workflows and processes.