Senior Data Analyst AI & Snowf · Pune

Senior Data Analyst AI & Snowflake Cortex is a delivery-focused opportunity based in Pune, India.

Senior Data Analyst AI & Snowflake CortexExperience56 years in Data Analytics / AIdriven Analytics rolesLocationPune (hybrid)Role SummaryWe are looking for a Senior Data Analyst with strong AI and Snowflake expertise to build intelligent, scalable, and businessready analytics solutions.The role will focus on advanced analytics, AIassisted insights, MLenabled data products, and agentic analytics using Snowflake Cortex AI, working closely with product, engineering, and business stakeholders.Key ResponsibilitiesData Analytics & Business InsightsTranslate complex business problems into datadriven analytics solutions using Snowflake and BI tools.Design and deliver selfservice analytics, semantic models, and metrics aligned to enterprise KPIs.Perform exploratory data analysis (EDA) and advanced SQL analytics on large, complex datasets.Snowflake & Data Engineering (ETL/ELT)Build and optimise ETL / ELT pipelines into Snowflake from enterprise systems (Salesforce, ERP, marketing platforms, etc.).Implement data modelling (dimensional / analytical models) optimised for analytics and AI consumption.Ensure data quality, performance, cost optimisation, and governance within Snowflake.AI, ML & Snowflake Cortex AIImplement Snowflake Cortex AI capabilities, including:TexttoSQL / natural language analytics (Cortex Analyst)AI functions such as classify, extract, summarise, and translatePartner with data science teams to deploy ML models in Snowflake for:Predictive analyticsForecasting and anomaly detectionIntelligent scoring and recommendations Operationalise ML models using Snowflake ML, feature stores, and model lifecycle best practices.Agentic & LLMDriven AnalyticsDesign and implement LLMpowered and agentic analytics use cases, such as:Conversational analytics and AI assistantsAutomated insight generationIntelligent data validation and reconciliationIntegrate LLMs (OpenAI / Azure OpenAI / Snowflake Cortex LLMs) with governed enterprise data.Apply RAG patterns responsibly, ensuring

Key Responsibilities

• Senior Data Analyst AI & Snowflake CortexExperience56 years in Data Analytics / AIdriven Analytics rolesLocationPune (hybrid)Role SummaryWe are looking for a Senior Data Analyst with strong AI and Snowflake expertise to build intelligent, scalable, and businessready analytics solutions.The role will focus on advanced analytics, AIassisted insights, MLenabled data products, and agentic analytics using Snowflake Cortex AI, working closely with product, engineering, and business stakeholders.Key ResponsibilitiesData Analytics & Business InsightsTranslate complex business problems into datadriven analytics solutions using Snowflake and BI tools.Design and deliver selfservice analytics, semantic models, and metrics aligned to enterprise KPIs.Perform exploratory data analysis (EDA) and advanced SQL analytics on large, complex datasets.Snowflake & Data Engineering (ETL/ELT)Build and optimise ETL / ELT pipelines into Snowflake from enterprise systems (Salesforce, ERP, marketing platforms, etc.).Implement data modelling (dimensional / analytical models) optimised for analytics and AI consumption.Ensure data quality, performance, cost optimisation, and governance within Snowflake.AI, ML & Snowflake Cortex AIImplement Snowflake Cortex AI capabilities, including:TexttoSQL / natural language analytics (Cortex Analyst)AI functions such as classify, extract, summarise, and translatePartner with data science teams to deploy ML models in Snowflake for:Predictive analyticsForecasting and anomaly detectionIntelligent scoring and recommendations Operationalise ML models using Snowflake ML, feature stores, and model lifecycle best practices.Agentic & LLMDriven AnalyticsDesign and implement LLMpowered and agentic analytics use cases, such as:Conversational analytics and AI assistantsAutomated insight generationIntelligent data validation and reconciliationIntegrate LLMs (OpenAI / Azure OpenAI / Snowflake Cortex LLMs) with governed enterprise data.Apply RAG patterns responsibly, ensuring
• Own day-to-day Data Analyst AI & Snowflake Cortex workflows with a focus on throughput, control, and process clarity.
• Track operational execution closely and intervene early when bottlenecks or exceptions emerge.
• Coordinate across teams to keep dependencies moving and stakeholders informed.
• Review reports, data, or reconciliations to identify gaps, risks, and corrective actions.
• Standardize repeatable processes and improve documentation so work is easier to execute reliably.
• Resolve escalations with urgency while preserving process integrity and service quality.
• Maintain clear records of outcomes, blockers, and action items for operational visibility.
• Partner with managers and functional teams to improve workflow design and turnaround times.
• Use operational metrics to prioritize improvement efforts and measure changes over time.
• Support audits, governance checks, or compliance requirements where process accuracy matters.
• Create structure in ambiguous situations and keep execution moving without excessive supervision.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in operations, commerce, business, or a related field.
• Strong analytical thinking with the ability to work through ambiguity and operational bottlenecks.
• Excellent coordination, communication, and stakeholder-management skills.
• Comfort working across data, process, and execution details to improve throughput.
• Strong ownership mindset with attention to detail and follow-through.
• Ability to balance process discipline with fast-moving business needs.

Applications should be submitted through the listed apply link.