About Netscribes:

Netscribes is a global leader in data, insights, and digital solutions, helping the world's largest organizations accelerate growth and innovation. As a growth catalyst, we empower sales, marketing, product development, and strategy through a unique blend of domain expertise and technological capabilities. Our end-to-end solutions span data engineering, advanced analytics, AI, and intelligent automation - built to scale and adapt to dynamic business environments. We partner with clients across the implementation journey, aligning with their ecosystem to deliver actionable intelligence, operational efficiency, and competitive advantage. For more information, visit www.netscribes.com.

LoB Overview:

Netscribes delivers integrated solutions across content, process, and technology to help global businesses scale efficiently and stay competitive in fast-moving markets.

Role:

The Data Modeler will be responsible for designing and maintaining enterprise data models that support DBU reporting, analytics, and data products. The role will work closely with stakeholders, Data Architects, Business Analysts, and Data Engineers to translate business requirements into scalable, high-quality data models.

Key Responsibilities:

- Analyze Finance business requirements and develop conceptual, logical, and physical data models.

- Design Master, Transactions, fact, dimension and Data products related models for Finance domains such as General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cost Accounting, and Budgeting.

- Perform source system analysis and develop source-to-target mappings for systems such as SAP, Movex, BMS.

- Define data quality rules, business definitions, and metadata standards.

- Collaborate with engineering teams to ensure accurate implementation of data models and transformation logic.

- Maintain data dictionaries, data lineage documentation, and design artifacts.

- Participate in design reviews and ensure adherence to enterprise data architecture and governance standards.

Preferred Qualifications:

- Strong experience in 3NF modeling, dimensional modeling, and data warehousing concepts.

- Hands-on experience with tools and platforms such as ERWin, ER/Studio, SQL, Snowflake, Microsoft Fabric, Databricks, SAP, or Oracle Finance applications.

Education:

- Graduates only (please ignore pursuing/drop out/12th or 10th pass)