
Cloud Data Analyst
1 day ago
The Technical Business Analyst role supports critical operations across process improvement, data platform engineering and automation, cost management, and infrastructure operations while contributing to the customer's strategic vision of expanding EDP data entitlement.
About The Role- Analyze EDP platform workflows and operational processes to identify optimization opportunities.
- Develop comprehensive KPIs and performance dashboards for platform monitoring and decision-making.
- Support the Enterprise Data Council with data-driven insights for strategic direction and product management.
- Document and standardize operational procedures across EDP Architecture, Platform Engineering, and Data Engineering teams.
- Contribute to lifecycle management of IT platform products (Databricks, AWS services, Ataccama, etc.).
- Execute cloud cost optimization initiatives with focus on anomaly detection and cost avoidance strategies.
- Maintain sophisticated cost models and estimation frameworks for infrastructure services and resiliency capabilities.
- Support Reserved Instances (RI) and Savings Plans (SP) optimization to achieve annual 10% cost savings target.
- Generate strategic cost reporting and variance analysis for leadership and vendor management.
- Contribute to pricing models for resiliency capabilities and disaster recovery implementations.
- Support vendor management activities for AWS, Databricks, and other cloud technology providers.
- Monitor platform utilization, performance metrics, and operational health across EDP services.
- Support L1/L2 operational activities for EDP Vanguard (Operations & Support Team).
- Assist with capacity planning, resource allocation, and infrastructure automation initiatives.
- Contribute to resiliency implementation planning, specifically for Nuclear critical pipelines.
- Support RTO/RPO analysis and disaster recovery cost modeling.
- Participate in Infrastructure as Code (IaC) and CI/CD pipeline analytics.
This role requires a Bachelor's degree in Business Analytics, Data Science, Information Systems or related technical field, along with 3-5 years of progressive experience in data analysis, business intelligence and cloud operations. Advanced proficiency in SQL, Python or R is necessary for complex data analysis and automation tasks.
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