Data Modeler- Business Analyst

The iScale; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

The iScale in Pune, India is seeking a data-focused professional to translate business requirements into robust data requirements and data models. You will analyze data structures, identify gaps, and collaborate with data architects, engineers, and stakeholders to drive analytics initiatives.

You will profile source data, monitor quality, and map data personas to better understand customer needs, supporting ongoing capital and analytics projects with practical, scalable solutions.

Responsibilities

• Understand business requirements and translate them into data requirements.
• Analyze existing data structures and determine gaps, if any, to meet new requirements across all ongoing initiatives.
• Actively participate in all ongoing initiatives related to the data and analytics ecosystem, including capital projects, operational projects, and proof of concept work.
• Profile source data by retrieving and gathering raw data from various internal and external source systems, to identify trends, patterns, and quality issues.
• Design, optimize, and maintain conceptual, logical, and physical data models to support efficient data management and analytics within the organization.
• Collaborate with data architects, data engineers, report developers, AI/ML engineers, and business stakeholders/executives.
• Map out data personas and consumer profiles to ensure a better understanding of customer needs.

Job description

• Understand business requirements and translate them into data requirements.
• Analyze existing data structures and determine gaps, if any, to meet new requirements across all ongoing initiatives.
• Actively participate in all ongoing initiatives related to the data and analytics ecosystem, including capital projects, operational projects, and proof of concept work.
• Profile source data by retrieving and gathering raw data from various internal and external source systems, to identify trends, patterns, and quality issues.
• Design, optimize, and maintain conceptual, logical, and physical data models to support efficient data management and analytics within the organization.
• Collaborate with data architects, data engineers, report developers, AI/ML engineers, and business stakeholders/executives.
• Map out data personas and consumer profiles to ensure a better understanding of customer needs.