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About the role
As a Senior Data Analyst specializing in AI and Snowflake, your role will involve building intelligent, scalable, and business-ready analytics solutions. You will be focusing on advanced analytics, AI-assisted insights, ML-enabled data products, and agentic analytics using Snowflake Cortex AI. Collaborating closely with product, engineering, and business stakeholders, you will be responsible for the following key tasks: - Translate complex business problems into data-driven analytics solutions using Snowflake and BI tools. - Design and deliver self-service analytics, semantic models, and metrics aligned to enterprise KPIs. - Perform exploratory data analysis (EDA) and advanced SQL analytics on large, complex datasets. - Build and optimize ETL / ELT pipelines into Snowflake from enterprise systems such as Salesforce, ERP, and marketing platforms. - Implement data modeling optimized for analytics and AI consumption. - Ensure data quality, performance, cost optimization, and governance within Snowflake. - Implement Snowflake Cortex AI capabilities including text-to-SQL, natural language analytics, and AI functions such as classify, extract, summarize, and translate. - Partner with data science teams to deploy ML models in Snowflake for predictive analytics, forecasting, anomaly detection, and intelligent scoring and recommendations. - Design and implement LLM-powered and agentic analytics use cases such as conversational analytics, automated insight generation, and intelligent data validation and reconciliation. - Implement role-based access control, data masking, and row-level security in Snowflake. - Work closely with product owners, business teams, and AI/ML engineers to define analytics requirements and present insights clearly to leadership. Qualifications Required: - 5-6 years of experience in Data Analytics / Advanced Analytics. - Strong hands-on expertise in Snowflake (SQL, performance tuning, data modeling). - Experience building ETL / ELT pipelines. - Advanced SQL and solid Python skills. - Working experience with Snowflake Cortex AI or similar AI-assisted analytics platforms. - Understanding of LLMs, prompt engineering, RAG patterns, and agentic workflows. - Experience with ML models, ML lifecycle, model monitoring, and explainability. - Experience with BI tools like Power BI, Tableau, or Streamlit. Additional Company Details: - Agile delivery experience in enterprise data platforms. As a Senior Data Analyst specializing in AI and Snowflake, your role will involve building intelligent, scalable, and business-ready analytics solutions. You will be focusing on advanced analytics, AI-assisted insights, ML-enabled data products, and agentic analytics using Snowflake Cortex AI. Collaborating closely with product, engineering, and business stakeholders, you will be responsible for the following key tasks: - Translate complex business problems into data-driven analytics solutions using Snowflake and BI tools. - Design and deliver self-service analytics, semantic models, and metrics aligned to enterprise KPIs. - Perform exploratory data analysis (EDA) and advanced SQL analytics on large, complex datasets. - Build and optimize ETL / ELT pipelines into Snowflake from enterprise systems such as Salesforce, ERP, and marketing platforms. - Implement data modeling optimized for analytics and AI consumption. - Ensure data quality, performance, cost optimization, and governance within Snowflake. - Implement Snowflake Cortex AI capabilities including text-to-SQL, natural language analytics, and AI functions such as classify, extract, summarize, and translate. - Partner with data science teams to deploy ML models in Snowflake for predictive analytics, forecasting, anomaly detection, and intelligent scoring and recommendations. - Design and implement LLM-powered and agentic analytics use cases such as conversational analytics, automated insight generation, and intelligent data validation and reconciliation. - Implement role-based access control, data masking, and row-level security in Snowflake. - Work closely with product owners, business teams, and AI/ML engineers to define analytics requirements and present insights clearly to leadership. Qualifications Required: - 5-6 years of experience in Data Analytics / Advanced Analytics. - Strong hands-on expertise in Snowflake (SQL, performance tuning, data modeling). - Experience building ETL / ELT pipelines. - Advanced SQL and solid Python skills. - Working experience with Snowflake Cortex AI or similar AI-assisted analytics platforms. - Understanding of LLMs, prompt engineering, RAG patterns, and agentic workflows. - Experience with ML models, ML lifecycle, model monitoring, and explainability. - Experience with BI tools like Power BI, Tableau, or Streamlit. Additional Company Details: - Agile delivery experience in enterprise data platforms.
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