Data Analyst (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in the United States.

The Data Analyst will play a pivotal role in designing and implementing technical solutions that leverage cloud, automation, and AI technologies. You will collaborate with enterprise teams to develop scalable data platforms, data warehousing solutions, and AI-driven models that support strategic decision-making. This role requires both hands-on technical expertise and the ability to contribute to client-facing initiatives, including solution design, technical writing, and proposal development. You will influence project strategies, optimize data storage and access solutions, and identify opportunities for machine learning and automation. The ideal candidate thrives in a dynamic, innovation-driven environment and possesses a strong foundation in cloud architecture, data engineering, and analytics.

Accountabilities:

• Contribute to the planning and execution of enterprise data strategies and technical solutions.
• Design, develop, and maintain scalable cloud and data infrastructure, primarily using Azure (preferred) or AWS.
• Build and optimize data warehousing solutions and implement ETL processes to ensure high-quality data access.
• Identify, develop, and implement AI and Machine Learning opportunities to enhance analytics capabilities.
• Assist client delivery teams in technical solutioning, deployment, and integration based on business requirements.
• Produce technical documentation, proposals, and white papers to support business development initiatives.
• Apply industry best practices and standards to maintain data security, integrity, and governance.

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related analytical field.
• 7+ years of experience in data analytics, with at least 2 years focused on data warehousing and storage at an enterprise scale.
• Hands-on experience with cloud architecture (Azure preferred) and cloud services deployment.
• Proficiency in programming languages such as Python and experience with back-end architecture or API development.
• Familiarity with AI and Machine Learning concepts, automation, and cloud-based data solutions.
• Strong communication skills to convey complex technical concepts to technical and non-technical stakeholders.
• Experience in proposal solutioning, technical writing, and client-facing engagements.
• Relevant certifications in Azure or other cloud platforms preferred.