AI & Cloud Senior Data Analyst (Remote)

Hi,

We are looking for
AI & Cloud Senior Data Analyst (Remote)
, please let me know if interested and share your resume.

Job Title: AI & Cloud Senior Data Analyst (Remote), C2C and W2

Location: Houston TX

Job Description:

Required Skills & Qualifications

• Bachelor’s Degree (mandatory for conversion).

• 7+ years of analytics, data modeling, or analytics engineering experience.

• Very strong SQL skills — ability to build complex data models and logic layers.

• Python scripting for data preparation and workflow automation.

• Semantic data modeling experience (warehouse centric or metric layer centric).

• Understanding of BI tools (Tableau/Power BI) to translate existing logic into semantic components.

• AI/LLM knowledge, including:

o Prompt engineering

o Foundation model selection (Gemini or equivalent)

o Dataset preparation for LLM tuning or fine tuning

• Experience with Google BigQuery, Gemini, or equivalents on other cloud platforms (AWS Redshift/Bedrock, Azure OpenAI).

• Strong interpersonal and communication skills; ability to work directly with business and IT stakeholders.

Senior Analytics Engineer / Senior Data Analyst (AI & Cloud Analytics)

• Department: Data & Analytics

• Location: Downtown Tower – On site Mon–Thu; Remote Fri

• Type: 6 Month Contract

• Education: Bachelor’s Degree required for conversion

Key Responsibilities

Semantic Layer Development (Primary Focus)

• Build robust semantic data models within Google BigQuery, forming the foundational data asset layer for the Helix platform.

• Reverse engineer business logic currently embedded in Tableau/Power BI reports and reconstruct it as centralized semantic layer logic.

• Ensure semantic structures support AI consumption, including LLM context windows, training datasets, and agentic workflows.

AI & LLM Related Responsibilities

o Understanding of LLM behavior, training and tuning considerations, and dataset preparation.

o Working with Gemini foundation models and selecting appropriate models for each use case.

o Performing prompt engineering for optimized LLM output.

• Partner with data engineers and product teams to ensure datasets and semantic structures are ready for AI agents, generative search, and NLP-driven insights.

Analytics Engineering & Data Processing

• Write advanced SQL for data modeling, transformations, and logic reconstruction.

• Use Python for lightweight data processing, scripting, and automation.

• Perform small scale ingestion of ad hoc sources (Excel, SharePoint) when needed.

Regards,

Praveen Vasala

Email ID: praveen.vasala@veritis.com

Contact: +1 (469) 649 1786 Ext: 122