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)
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