Job Responsibilities

- Develop and deploy machine learning, statistical, and predictive analytical models using Python and open-source frameworks to solve complex business problems.
- Design solutions for processing unstructured data including documents, images, PDFs, and emails using OCR and Intelligent Document Processing technologies.
- Build centralized data repositories, Lakehouses, and analytical datasets to support advanced analytics, AI, and enterprise reporting requirements.
- Apply statistical techniques such as sample size determination (N), regression modelling, classification, forecasting, and hypothesis testing to generate actionable business insights.
- Design, build, and manage analytics solutions using Microsoft Fabric components including OneLake, Lakehouse, Warehouses, and Data Pipelines.
- Develop and optimize semantic models and analytical datasets and follow best practices.
- Implement data ingestion, transformation, and orchestration using Fabric Dataflows Gen2 and pipelines.
- Write and optimize SQL for analytics workloads in Fabric Warehouses and Lakehouses.
- Implement data modeling techniques (star schema, snowflake schema) to support scalable analytics solutions.
- Hands-on experience with Microsoft Copilot and other AI copilots for productivity and analytics.
- Experience with data agents for query execution, workflow management, and intelligent data retrieval.
- Ability to design and implement agent-based architectures for scalable analytics solutions.
- Ensure data quality, validation, and governance across enterprise datasets.
- Monitor and optimize data performance, cost, and query efficiency in Microsoft Fabric.
- Collaborate with business and technical stakeholders to translate requirements into analytics-ready datasets.
- Document data models, transformations, lineage, and business definitions.




- Support ad-hoc analysis and present insights in a clear, business-friendly manner.

Required Skills & Qualifications

Technical Skills

- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn).
- Solid understanding of data science fundamentals and applied statistics.
- Microsoft DP-600 Certified or equivalent like Data Engineering with Spark, dbt & Airflow (Coursera), Databricks Certified Data Engineer

Qualified

- Strong hands-on experience with Microsoft Fabric:
- OneLake
- Lakehouse & Warehouses
- Dataflows Gen2
- Data Pipelines
- Expertise in SQL analytics and query optimization within Fabric.
- Experience creating and managing semantic data models.
- Knowledge of data warehousing concepts, analytical patterns, and performance tuning.
- Familiarity with data governance, security, and access control in Fabric environments.
- Experience working in enterprise-scale analytics platforms is a plus.

Experience & Qualifications

- Bachelor’s degree in Engineering, Computer Science / Information Technology , MCA , BCA or related field
- Prior experience with machine learning, statistical, and predictive analytical models and generate data insight.
- Experience and hands on processing unstructured data including documents, images, PDFs, and emails using OCR and Intelligent Document Processing technologies
- DP‑600 Certification is an advantage and good to have.
- Prior experience with large-scale data platforms or cloud analytics solutions.
- Experience working in cross-functional teams and stakeholder-facing roles

Analytical & Soft Skills

- Strong analytical and problem-solving mindset.
- Ability to work with complex datasets and derive actionable insights.
- Excellent communication skills to explain technical concepts to non-technical stakeholders.
- Strong documentation and data storytelling abilities.
- Ability to work independently and collaboratively in cross-functional teams.

📌 Assistant Manager/Manager - Data Analyst ( IT ) (Ahmedabad)
🏢 Intas Pharmaceuticals
📍 Ahmedabad