Assistant Manager/Manager - Data Analyst ( IT )

Intas Pharmaceuticals; Ahmedabad District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Intas Pharmaceuticals seeks a data analytics professional to develop and deploy ML, statistical, and predictive models using Python and open-source tools. You will design OCR-based solutions for unstructured data, build centralized data repositories and lakehouses, and apply advanced analytics techniques to generate business insights.

The role emphasizes working with Microsoft Fabric components and SQL analytics to support enterprise reporting.

Qualifications

• Bachelor’s degree in Engineering, CS/IT, MCA, BCA or related field.
• Experience with machine learning, statistical, and predictive analytics models.
• Hands-on with unstructured data using OCR and Intelligent Document Processing.
• DP-600 Certification is an advantage; exposure to large-scale data platforms or cloud analytics.

Responsibilities

• Develop and deploy machine learning, statistical, and predictive analytical models using Python and open-source frameworks.
• Design solutions for processing unstructured data including documents, images, PDFs, and emails with OCR and IDP tech.
• Build centralized data repositories, Lakehouses, and analytic datasets for AI and reporting needs.
• Apply statistical techniques to generate actionable business insights and improve decisions.
• Design, build, and manage analytics solutions using Microsoft Fabric components (OneLake, Lakehouse, Warehouses, Data Pipelines).
• Develop semantic models and analytical datasets; implement data ingestion, transformation, and orchestration with Fabric Dataflows Gen2.
• Write and optimize SQL for analytics workloads in Fabric Warehouses and Lakehouses.
• Implement data modeling (star/snowflake) for scalable analytics; ensure data quality, governance, and cost/performance monitoring.
• Collaborate with business and technical stakeholders; document data models, transformations, lineage, and definitions.

Skills

Python

Data science fundamentals

Statistical methods

Unstructured data handling

Education

Bachelor’s degree in Engineering, CS/IT, MCA, BCA

Tools

Pandas

NumPy

Scikit-learn

Matplotlib/Seaborn

DP-600 Certification

Databricks Data Engineer

Spark

Airflow

dbt

Job description

• 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
• 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 andgenerate 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.