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Job Title: Cloud Product Analyst

Job Description:

•Evaluate the company products and compare them against industry trends.
•Collaborate with engineering teams to build robust, reliable and scalable Analytical platforms in house and cloud.
•Develop an understanding of company products to meet the company's current and future needs.
•Leveraging cloud technical expertise and relationships to contribute to strategy and drive business results.
•Architect, design, and implement next generation of cloud-based applications running which are dynamically scalable, fault tolerant, secure, and reliable.
•Developing a cloud strategy and coordinating the adaptation process.
•Establish best practices for cloud across the company and selecting cloud providers and vetting third-party services.
•Interact with large data sets to extract insights, validate decisions, and influence change.
•Create and implement the data science and analytics roadmap for Cloud, setting the vision for and defining what success looks like through insights and trends into both customer and business initiatives.
•Lead data science and analytics initiatives from source discovery, to ingestion, refinement, modeling and most importantly to application of learnings into the business.
•Develop models and quantitative forecasting solutions to solve a broad spectrum of challenges across the customer (their journey with us and the collective experience we provide them), our product and our inventory.
•Implementing AWS services and a wider serverless ecosystem of tools including Amazon DynamoDB, Amazon Cognito, AWS IoT, Amazon S3 and Amazon EFS.
•Experience architecting stateless and stateful applications for containers and container manager/schedulers such as Kubernetes, AWS EKS, AWS ECS and Docker.
•Act as a Subject Matter Expert to the organization for cloud and virtualization end-to-end architecture and IaaS, as well as PaaS and SaaS solutions.
•Experience with architecting and designing for Resiliency, High-Availability, Fault Tolerance, and Scalability in context of AWS Cloud.
•Working knowledge of Big Data, analytics and machine learning technologies on AWS such as EMR, Apache Spark, SageMaker. -Experience with modern software engineering practices using CI/CD and associated toolsets such as git, AWS Code Commit, Jenkins, Bamboo, Salt, AWS Code Deploy, AWS CodePipeline.
•Experience with REST based APIs.