Data Analyst

Summary

The AI Data Analyst will design, develop, document, and maintain data pipelines and architectures, workingclosely with IT, Data Engineering, and Data Science teams to deliver artificial intelligence and machine learningsolutions. Provide technical support on selected AI systems (for example, Generative AI applications, agenticworkflows, and internal data integration tools) and participate in enterprise IT and AI projects.

Detailed Description

Performs tasks such as, but not limited to, the following:

• Collaborate with IT and Data Science teams to gather technical requirements, ensuring data availability and system readiness for AI integration.
• Design, build, and optimize data pipelines (ETL/ELT) to prepare, clean, and structure datasets for machine learning models and large language models (LLMs).
• Work within Google Cloud environments to manage datasets, orchestrate data flows, and support model deployment.
• Respond to system, API, and data pipeline problems by troubleshooting data anomalies, analyzing logs, and determining the technical course of action.
• Develop and maintain technical documentation for data architectures, API integrations, and AI workflows.
• Participate in the configuration, testing, and deployment of agentic AI development and workflow orchestration platforms.

Knowledge/Skills/Competencies

• Strong technical collaboration and teamwork skills within an IT environment.
• Good analytical, technical, troubleshooting, and problem-solving skills.
• Good technical documentation skills, including mapping technical architectures, data pipelines, and system integrations.
• Good understanding of data engineering concepts, database management, and the IT software development life cycle.
• Proficient coding skills in Python (including data libraries like Pandas and NumPy) and robust SQL skills for complex database querying and data manipulation.
• Understanding of core machine learning concepts and familiarity with Generative AI tools, agentic development, and AI orchestration platforms (e.g., Flowise AI, Zapier, n8n).
• Familiarity with Google Cloud data and AI technologies, specificallyGemini, BigQuery, and Vertex AI
• Understanding of interrelations between IT infrastructure components (cloud environments, APIs, databases, data pipelines, servers, etc.).

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.

Experience

• A minimum of three years of professional experience is required.
• 1 to 3 years of relevant experience in similar roles

Education

15 years of full time education is mandatory.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for anyfunction are subject to change at any time.