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