Position:
• Data Modeler
Company:
• Vanderlande
Location:
• Pune, India
Job type:
• Full Time
Job mode:
• Onsite
Job requisition id:
• JR36872
Years of experience:
• 0-3 years
Company Description
About Vanderlande
• Vanderlande is recognized as one of the world's leading organizations in the field of logistics process automation and intelligent material handling solutions.
• The company designs, develops, implements, and supports advanced technologies that help airports, parcel distribution centers, and warehouse operations improve efficiency, productivity, and operational performance.
• Over the years, Vanderlande has established a strong global presence and serves some of the most recognized organizations across transportation, logistics, retail, and parcel delivery industries.
• Its solutions are used by major international airports, large parcel handling organizations, and global retail enterprises that rely on efficient movement of goods and materials.
• The company combines innovative software platforms, automation technologies, intelligent systems, and ongoing support services to help customers manage complex operational environments.
• Vanderlande operates in more than one hundred countries and continues to invest in technological advancement, operational excellence, and digital transformation initiatives.
• Employees are encouraged to collaborate across functions, contribute new ideas, and participate in projects that have global impact.
• The organization promotes continuous learning and professional development through structured training opportunities, practical exposure, and collaborative teamwork.
• Vanderlande places significant importance on innovation, quality, customer success, and long term value creation.
• The company also supports an inclusive workplace culture where individuals from different backgrounds can contribute, learn, and grow professionally while working on meaningful business challenges.
Profile Overview
Overview of the Role
• The Data Modeler position is an important role within Vanderlande's Central Data and Analytics organization.
• The role focuses on creating structured and scalable business data models that support enterprise wide analytics, reporting, governance, and strategic decision making.
• As a Data Modeler, you will work at the intersection of business operations and technology.
• The position requires gathering information from stakeholders, understanding business processes, and translating those requirements into structured data representations.
• You will help ensure that data is organized consistently across multiple business domains and systems.
• The role involves understanding how information flows through different departments and converting those insights into meaningful data structures.
• Individuals in this role contribute to building a strong data foundation that supports enterprise analytics initiatives and business intelligence programs.
• You will collaborate with business stakeholders, architects, analysts, and technology teams to ensure that data models align with organizational goals.
• The role requires a combination of analytical thinking, communication skills, business understanding, and technical awareness.
• You will play an active role in maintaining data quality, supporting governance initiatives, and improving organizational understanding of business data.
• The position offers excellent learning opportunities for candidates who are interested in data management, analytics, enterprise architecture, and information modeling.
• Fresh graduates and early career professionals can gain valuable exposure to modern data practices while working alongside experienced professionals in a global environment.
Key Responsibilities
Business Requirement Analysis
• Engage with business stakeholders to understand operational objectives and organizational priorities.
• Gather information regarding existing business processes and workflows.
• Participate in discussions with subject matter experts to identify important business entities and relationships.
• Understand how different departments generate, consume, and manage data.
• Analyze business requirements and convert them into structured data concepts.
• Identify data dependencies across various business functions.
Stakeholder Collaboration
• Conduct meetings and interviews with both technical and non technical stakeholders.
• Work closely with architects, analysts, and governance teams.
• Build strong working relationships with business users and technology professionals.
• Facilitate communication between business teams and IT teams.
• Help stakeholders understand the importance of standardized data structures.
• Support cross functional collaboration for enterprise data initiatives.
Data Modeling Activities
• Develop business data models that accurately represent organizational information.
• Define entities, relationships, attributes, and business rules.
• Create logical and conceptual data models aligned with organizational standards.
• Ensure consistency across different business domains.
• Support the creation of scalable and maintainable data structures.
• Contribute to enterprise data architecture initiatives.
Data Mapping Support
• Collaborate with technology teams to understand source systems.
• Assist in mapping operational data into standardized business models.
• Support efforts to improve data consistency and usability.
• Review mapping definitions and identify improvement opportunities.
• Ensure alignment between business requirements and technical implementation.
Data Governance Contribution
• Support organizational data governance standards.
• Promote data quality and consistency across systems.
• Participate in initiatives focused on data standardization.
• Contribute to improving data definitions and documentation.
• Help establish a common understanding of business data across teams.
Continuous Learning
• Develop expertise in data modeling methodologies.
• Stay informed about industry trends and best practices.
• Learn new tools, frameworks, and technologies relevant to data management.
• Participate in training opportunities and knowledge sharing activities.
• Expand understanding of modern enterprise data ecosystems.
Required Qualifications
Educational Background
• Bachelor's degree in Information Management, Business Administration, Information Systems, Computer Science, Data Analytics, or a related discipline.
• Equivalent practical experience may also be considered.
Core Knowledge Areas
• Understanding of fundamental data modeling concepts.
• Awareness of conceptual and logical data modeling approaches.
• Knowledge of entities, attributes, relationships, and business rules.
• Familiarity with information management principles.
• Basic understanding of business process analysis.
Analytical Capabilities
• Strong analytical thinking skills.
• Ability to evaluate large amounts of information.
• Capacity to identify patterns and relationships within business processes.
• Strong attention to detail.
• Ability to organize complex information into structured formats.
Communication Skills
• Ability to communicate effectively with technical and business audiences.
• Strong verbal communication skills.
• Effective written communication abilities.
• Capability to explain complex concepts in a simple and understandable manner.
Professional Attributes
• Curiosity and eagerness to learn.
• Positive and proactive attitude.
• Willingness to collaborate with diverse teams.
• Ability to adapt to changing business requirements.
• Strong sense of ownership and accountability.
Preferred Qualifications
Data Modeling Exposure
• Academic coursework related to data management or data modeling.
• Internship experience involving analytics or information management.
• Project experience involving structured data design.
Modeling Techniques
• Familiarity with UML concepts.
• Understanding of modeling methodologies and frameworks.
• Exposure to diagramming and documentation practices.
Database Knowledge
• Basic understanding of relational databases.
• Familiarity with SQL fundamentals.
• Understanding of data storage concepts.
Modern Data Concepts
• Awareness of Data Mesh principles.
• Exposure to enterprise data architecture concepts.
• Understanding of distributed data environments.
Programming Exposure
• Basic experience with Python.
• Familiarity with PySpark for data exploration.
• Understanding of data analysis workflows.
Team Structure
Central Data Governance Team
• The role is part of the Central Data Governance team.
• This team operates within the broader Central Data and Analytics organization.
• The department reports to the Chief Information Officer.
• Team members focus on data governance, analytics enablement, and enterprise data strategy.
Working Environment
• Employees collaborate with multiple business units.
• Teams work across various domains and functional areas.
• Knowledge sharing and teamwork are highly encouraged.
• The environment promotes innovation and continuous improvement.
Data Platform Focus
• The organization develops and maintains the Vanderlande Data Platform.
• Teams transform and enrich information from multiple source systems.
• Data products are created to support business users and decision makers.
• The platform serves as an important source of trusted enterprise information.
Analytics Enablement
• The department supports reporting and analytics initiatives.
• Teams maintain analytics technologies including Qlik and Power BI environments.
• Resources and templates are provided to help users maximize data value.
• Communities of practice help spread knowledge and expertise throughout the organization.
Additional Info
Agile Working Culture
• The department follows a scaled Agile approach.
• Multiple development teams collaborate toward shared objectives.
• Teams work from a common backlog and roadmap.
• Continuous improvement is an important aspect of daily operations.
Career Growth Opportunities
• Employees gain exposure to enterprise level data initiatives.
• Opportunities exist to work with experienced data professionals.
• Learning and development are actively encouraged.
• Employees can strengthen both technical and business skills.
• The role provides a strong foundation for future careers in analytics, governance, architecture, and data management.
Diversity and Inclusion
• Vanderlande supports equal employment opportunities.
• Hiring decisions are based on qualifications and merit.
• The company values diversity, inclusion, and respect.
• Employees are encouraged to contribute their unique perspectives.
Why This Role Matters
• Data serves as a critical organizational asset.
• Well designed data models improve reporting accuracy and decision making.
• Effective information structures support business growth and operational efficiency.
• This role contributes directly to building a trusted and scalable data foundation.
• The position offers meaningful exposure to enterprise data management practices within a globally recognized organization.
Please click here to apply.
Daily job updates on WhatsApp, Click here
