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

Professional

- 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 positive 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