Data Modeller

1 month ago

Pune, India Toll Group Full time

Company Description

At Toll, we do more than just logistics - we move the businesses that move the world. Our 20,000 team members can help solve any logistics, transport, or supply chain challenge - big or small. We have been supporting our customers for more than 130 years. Today, we support more than 20,000 customers worldwide with 500 sites in 25 countries, and a forwarding network spanning 150 countries.
Play an important role in our strategic journey at Toll Technology Centre (TTC) in Pune, India.
As a progressive technology hub, we strive to continuously improve how we work. As a progressive technology hub renowned supply chain and logistics leader we are committed to delivering on $420 million in technological investments. Working closely with customers, help us transform our core systems, platforms, automations, and interfaces for the better. Enjoy a secure, stable, and safe environment, collaborating with teams of specialists in a positive team culture. Take on challenges that will grow your problem-solving skills with plenty of on-the-job learning experiences. Share your ideas with caring leaders who look out for you and your well-being and reward your accountability and responsibility with opportunities for progression.

**Job Description**:
We are looking for an experienced Data Modeller to join our team in Pune.

This Data Modeller role will be working closely with Data Architects/Engineers/Analysts to implement data modelling solutions to streamline and support enterprise information management.

As a Data Modeller, you will:

- Analyzing and translating business needs into long-term solution data models.
- Evaluating existing data systems. Determine how the various entities are related and develop entity relationship diagrams that represent the connections among the entities. Identify each entity's characteristics and properties and ensure that the entities can be differentiated within the model.
- Working with the development team to create conceptual data models and data flows. Developing best practices for data coding to ensure consistency within the system. Reviewing modifications of existing systems for cross-compatibility.
- Transforming the logical representation of the model into a physical representation and work with database administrators to instantiate and manage the data.
- Updating and optimizing local and metadata models.
- Evaluating implemented data systems for variances, discrepancies, and efficiency. Troubleshooting and optimizing data systems.

To be successful in this role, you will need:

- 5+ years of hands-on data modelling experience, preferably in a global transport and logistics environment.
- A breadth of knowledge in BI and Analytics, strong commercial “know how”, focusing on excellent understanding of data, data structure and segmentation as well as strong stakeholder management and communication skills.
- Demonstrated experience in working with relational databases such as SQL. Demonstrated experience in working with Azure Synapse and Microsoft Purview.
- Demonstrated experience in metadata management and related tools.
- Demonstrated experience in developing of statistical models.
- A Master’s degree in information technology management-related curriculum.

**Be Connected**

With a bold vision and innovative drive, join our 20,000 colleagues as we lead industry change and transform how customers best meet their global supply chain needs in a meaningful and sustainable way. There are countless opportunities to learn and make a real impact in shaping our industry’s future. Grow with diverse challenges amongst a friendly and inclusive global culture. Take pride in building relationships that matter, because being connected is at the centre of what makes Toll great - it’s what makes our possibilities endless.
- Toll embraces and celebrates a variety of cultures. We continue to build a business that reflects the values of equality, built on the knowledge and understanding that everyone is welcome including the First Nations Peoples and those of all ages, genders and abilities._

You must be entitled to work in India and be prepared to undertake pre-employment checks including a criminal history check and medical.

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