AI Data Analyst

This would be a six-month contract-to-hire. Regarding the time zone, the person must work a minimum of 9 AM to 12 PM ET to ensure availability for meetings and collaboration during the North America time zone. The remaining hours can be worked during India daytime hours.

Summary The AI Data Analyst will design, develop, document, and maintain data pipelines and

architectures, working closely with IT, Data Engineering, and Data Science teams to deliver

artificial intelligence and machine learning solutions. Provide technical support on selected AI

systems (for example, Generative AI applications, agentic workflows, 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, specifically Gemini, 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.

Typical Experience 1 to 3 years of relevant experience in similar roles (such as data analysis, data engineering, or

IT solutions).

Typical Education Bachelors Degree or consideration of an equivalent combination of education and experience.

Educational Requirements may vary by Geography

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 any function are subject to change at any time.