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Senior Data Analyst – AI & Snowflake Cortex

Johnson Controls -
Pune, Maharashtra

Apply Now

Job details

Full-time
5 days ago

Qualifications

Performance tuning
Power BI
Data modeling
Azure
Law
Enterprise Software
Salesforce
Supply chain
Tableau
Master's degree
SQL
RBAC
Forecasting
Data analytics
ETL
Data science
AI
Python
Analytics

Full job description

Senior Data Analyst – AI & Snowflake Cortex

Experience

5–6 years in Data Analytics / AI‑driven Analytics roles

Location

Pune (hybrid)

Role Summary

We are looking for a Senior Data Analyst with strong AI and Snowflake expertise to build intelligent, scalable, and business‑ready analytics solutions.
The role will focus on advanced analytics, AI‑assisted insights, ML‑enabled data products, and agentic analytics using Snowflake Cortex AI, working closely with product, engineering, and business stakeholders.

Key Responsibilities

Data Analytics & Business Insights

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.

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 AI

Implement Snowflake Cortex AI capabilities, including:
- Text‑to‑SQL / natural language analytics (Cortex Analyst)
- AI functions such as classify, extract, summarise, and translate
Partner with data science teams to deploy ML models in Snowflake for:
- Predictive analytics
- Forecasting and anomaly detection
- Intelligent scoring and recommendations
Operationalise ML models using Snowflake ML, feature stores, and model lifecycle best practices.

Agentic & LLM‑Driven Analytics

Design and implement LLM‑powered and agentic analytics use cases, such as:
- Conversational analytics and AI assistants
- Automated insight generation
- Intelligent data validation and reconciliation
Integrate LLMs (OpenAI / Azure OpenAI / Snowflake Cortex LLMs) with governed enterprise data.
Apply RAG patterns responsibly, ensuring accuracy, security, and explainability.

Data Governance & Security

Implement role‑based access control (RBAC), data masking, and row‑level security in Snowflake.
Ensure AI solutions comply with enterprise data governance and privacy standards, with all data processed within Snowflake’s boundary.

Stakeholder Collaboration

Work closely with product owners, business teams, and AI/ML engineers to define analytics requirements.
Present insights clearly to leadership through dashboards, narratives, and AI‑generated summaries.

Required Skills & Qualifications

Core Technical Skills

5–6 years of experience in Data Analytics / Advanced Analytics
Strong hands‑on expertise in Snowflake (SQL, performance tuning, data modelling)
Experience building ETL/ELT pipelines (ADF, dbt, or similar tools)
Advanced SQL and solid Python for analytics and ML integration

AI / ML / LLM Skills

Working experience with Snowflake Cortex AI or similar AI‑assisted analytics platforms
Understanding of LLMs, prompt engineering, RAG patterns, and agentic workflows
Hands‑on experience with ML models (classification, regression, forecasting, anomaly detection)
Familiarity with ML lifecycle, model monitoring, and explainability

BI & Visualisation

Experience with Power BI / Tableau / Streamlit
Ability to design executive‑ready dashboards and self‑service analytics experiences

Nice to Have

Experience with Streamlit apps inside Snowflake
Exposure to Salesforce, ERP, marketing, or supply chain analytics
Build ML models for prediction, scoring, forecasting, anomaly detection
Operationalise models using Snowflake ML / feature stores / registries
Design RAG pipelines using governed enterprise data
Develop conversational analytics assistants and AI insight engines
Ensure explainability, security, and governance of AI solutionsAgile delivery experience in enterprise data platforms

Apply Now

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