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Data Analyst II

• Serve as a data expert leveraging analytical and technical skills to successfully support operational needs, program direction, and tools development
• Maintain master asset files & templates, update data reporting and review approval requests for various asset management activities
• Work cross-functionally to define problem statement, collect data, build analytical models, make recommendations and drive improvements
• Perform financial, statistical, and qualitative data analysis on data center operations programs
• Effectively plan and collaborate with team members, stakeholders and suppliers on data driven projects to improve internal tools, systems, and data pipelines
• Identify and drive scalable solutions for building and automating reports, pipelines, dashboards, and infrastructure to monitor key programs, operations strategy, and drive continuous improvement
• Work with the data center teams and various stakeholders to set, track and report on goals and key performance indicators/metrics for various programs
• Create data visualizations to communicate analysis results and drive decision making

• 5+ years' experience in data, reporting, and analytical problem solving
• 5+ years' experience with various databases and business visualization/intelligence tools such as Tableau, Power BI, etc
• Strong SQL or equivalent and excel skills, comfortable writing queries, data processing scripts, and understanding Relational Database Management System (RDBMS) data structures
• Experience seeing beyond numbers to drive sound decision-making from complex datasets.
• Ability to quickly learn new technologies and tools
• Proven stakeholder management experience - including managing multiple cross-functional partners simultaneously. Preferred
• 10+ years' experience in data analytics of asset and BOM master data systems
• Experience with Reliability Centered Maintenance (RCM) principles
• Working knowledge of reliability statistics such as Weibull Analysis
• Sound knowledge of technical equipment such as mechanical, electrical and controls systems (moving from requirements to preferred)
• Strong analytical skills and knowledge of applied statistics including predictive analytics, time series analysis and machine learning

B.A. or B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, or equivalent experience 

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