Senior Operations Data Analyst

Job Responsibilities:

• Analyze operational data to assess capacity availability, uptime and operational efficiency.
• Generate and maintain weekly reports tracking team performance against core KPIs
• Clean, transform, and analyze data, often using proxy and regression analysis to address incomplete datasets
• Maintain and test code that produces reports and manages underlying data structures; integrate new data sources as needed
• Develop and enhance dashboards in collaboration with field teams and data scientists.
• Conduct predictive analytics to anticipate operational trends and risks on ad hoc basis
• Produce reports and whitepapers with actionable recommendations for leadership.
• Provide data supplied narratives that are connected to the business, determining what is important and its impact to the business/operation.

Skills:

• Minimum 3+ years in data analysis, operations analytics, or a related field
• Proficiency in SQL for data extraction and analysis
• Proven experience in data analysis, including cleaning, transforming, and interpreting complex datasets
• Significant experience with data visualization tools and leveraging data driven models to drive business decisions.
• Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions and reporting results across various stakeholder groups (including executive level).
• Experience in operations, data center, manufacturing, telecom, or NOC environments.
• Familiarity with dashboard development tools (e.g., Bento, Tableau).

Education/Experience:

• Bachelor’s degree in an analytical field (e.g., Computer Science, Research, Statistics, Engineering)