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About the role
Role Overview We are looking for an experienced Data Analyst with 810 years of expertise to work in a data-driven, research-oriented environment. The candidate will collaborate closely with Data Science and business teams to build insights, develop scalable data solutions, and enable data-led decision making. The ideal candidate should possess strong experience in cloud-based analytics platforms, data engineering, and advanced analytical techniques with a strong focus on Azure technologies. Key Skills & Experience 810 years of relevant experience in Data Analytics / Data Engineering Strong hands-on expertise in: Python SQL Data Analysis & Data Exploration Data Visualization Tools Strong working experience in Azure Cloud technologies: Azure Data Factory (ADF) Azure Databricks PySpark / Python Familiarity with AWS ecosystem Amazon Redshift Amazon RDS Robust understanding of data pipelines, ETL/ELT processes, and data transformation Excellent communication and stakeholder management skills Experience working in Agile and multi-project environments Strong analytical and problem-solving mindset Key Responsibilities Analyse, clean, and organize raw data to generate meaningful business insights Build, optimize, and maintain scalable data pipelines and data systems Understand business requirements and convert them into analytical solutions Perform complex data analysis to identify trends, patterns, and opportunities Prepare datasets for predictive and prescriptive analytics use cases Develop analytical models, prototypes, and reusable frameworks Integrate and consolidate data from multiple heterogeneous sources Collaborate with Data Science teams for advanced analytics initiatives Ensure continuous improvement through Agile methodologies and iterative development Mandatory Skills (Non-Negotiable) Azure Databricks Azure Data Factory (ADF) Python / PySpark SQL End-to-end data handling capability: Data ingestion Data transformation Data analysis & insights generation Preferred Candidate Profile Strong business orientation with problem-solving ability Experience in handling large-scale datasets and cloud-based analytics platforms Ability to explain technical concepts to non-technical stakeholders Experience working in collaborative, fast-paced environments Exposure to advanced analytics or machine learning projects is an added advantage Skills: python,data factory,azure Role Overview We are looking for an experienced Data Analyst with 810 years of expertise to work in a data-driven, research-oriented environment. The candidate will collaborate closely with Data Science and business teams to build insights, develop scalable data solutions, and enable data-led decision making. The ideal candidate should possess strong experience in cloud-based analytics platforms, data engineering, and advanced analytical techniques with a strong focus on Azure technologies. Key Skills & Experience 810 years of relevant experience in Data Analytics / Data Engineering Strong hands-on expertise in: Python SQL Data Analysis & Data Exploration Data Visualization Tools Strong working experience in Azure Cloud technologies: Azure Data Factory (ADF) Azure Databricks PySpark / Python Familiarity with AWS ecosystem Amazon Redshift Amazon RDS Robust understanding of data pipelines, ETL/ELT processes, and data transformation Excellent communication and stakeholder management skills Experience working in Agile and multi-project environments Strong analytical and problem-solving mindset Key Responsibilities Analyse, clean, and organize raw data to generate meaningful business insights Build, optimize, and maintain scalable data pipelines and data systems Understand business requirements and convert them into analytical solutions Perform complex data analysis to identify trends, patterns, and opportunities Prepare datasets for predictive and prescriptive analytics use cases Develop analytical models, prototypes, and reusable frameworks Integrate and consolidate data from multiple heterogeneous sources Collaborate with Data Science teams for advanced analytics initiatives Ensure continuous improvement through Agile methodologies and iterative development Mandatory Skills (Non-Negotiable) Azure Databricks Azure Data Factory (ADF) Python / PySpark SQL End-to-end data handling capability: Data ingestion Data transformation Data analysis & insights generation Preferred Candidate Profile Strong business orientation with problem-solving ability Experience in handling large-scale datasets and cloud-based analytics platforms Ability to explain technical concepts to non-technical stakeholders Experience working in collaborative, fast-paced environments Exposure to advanced analytics or machine learning projects is an added advantage Skills: python,data factory,azure
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