Cloud Data Analytics Specialist
3 weeks ago
We are seeking a highly skilled Cloud Data Analytics Specialist to join our team at Logistics Management Institute (LMI). As a key member of our Data Analytics Infrastructure Services team, you will play a critical role in supporting the NASA OIG's cloud analytics environment.
Key Responsibilities:- Develop an analytic infrastructure roadmap to transition data analytics infrastructure services to a cloud analytics environment.
- Assist in designing and implementing analytic architecture within a cloud framework.
- Support data automation processes to enhance efficiency and streamline operations.
- Provide project management support, ensuring effective coordination and execution of data analytics infrastructure services initiatives.
- Perform hands-on migration of analytics products and services to a cloud environment, ensuring minimal disruption and optimal performance.
- Develop and implement modernization strategies for existing data analytics infrastructure, utilizing cloud-native tools and services.
- Optimize cloud architecture and infrastructure to improve scalability, security, and cost-efficiency for analytic operations.
- Liaise with OIG IT and other entities to facilitate communication and collaboration.
- Deliver data analytic consulting services to identify methods, tools, and solutions for audit projects.
- Develop and implement a variety of data analytic products and services, including analyses, data mining, reports, dashboards, and data visualizations.
- Collaborate with subject matter experts to enhance data analytic solutions and ensure alignment with audit objectives.
- Acquire and maintain data from NASA, OIG peers, and open-source platforms.
- Demonstrate leadership and soft skills to ensure customer satisfaction and effective project management.
- Bachelor's degree in Data Science, Information Systems, Computer Science, or a related field.
- Experience with cloud analytics environments and cloud infrastructure.
- Proficiency in data analytics tools and programming languages (e.g., Python, SQL, R).
- Proven hands-on experience in migrating data analytics products to cloud platforms such as AWS.
- Proficiency in cloud-native tools and services for analytics and data processing (e.g., AWS Redshift, Glue, S3, Lambda, RDS, etc.).
- Strong technical skills in configuring, deploying, and managing cloud infrastructure components relevant to data analytics.
- Strong understanding of data automation and analytic architecture design.
- Experience in project management within a technical or data analytics context.
- Excellent communication skills for writing reports and collaborating with diverse teams.
- Ability to liaise effectively with IT and other organizational entities.
- Master's degree in a relevant field.
- Relevant certifications in cloud computing, data analytics, or project management (e.g., AWS Certified Solutions Architect, Certified Data Analyst, PMP).
- Experience working with NASA's cloud environment capabilities.
- Experience in designing and executing cloud modernization initiatives for legacy analytic systems.
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments and configurations.
- Expertise in optimizing cloud environments for performance, security, and cost, with a focus on analytics workloads.
- Demonstrated expertise in developing complex dashboards and data visualization solutions.
- Previous experience in an audit or government setting.
- Strong problem-solving skills and ability to deliver innovative solutions.
- Ability to manage multiple projects and prioritize tasks effectively.
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New York, New York, United States Logistics Management Institute Full timeJob Title: Cloud Data Analytics SpecialistLMI is seeking a highly skilled Cloud Data Analytics Specialist to join our team. As a key member of our Data Analytics Infrastructure Services team, you will be responsible for developing infrastructure roadmaps, assisting with analytic architecture, and executing data automation processes in a cloud analytics...
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