Data Modeller, Climate Program

**Req ID**: 83787
**Department**: Insto SP&E Data & PMO
**Division**: Institutional
**Location**: Bengaluru
About Us
About the Role
**Role Type**: FTE, Manager group 4.2
**Role Location**: Manyata Tech Park, Bangalore
**Work Hours**: Standard
You will engage with key stakeholders from Technology and Business to ensure the alignment of Data Models with our ESG Data Platform and Transformation of Infrastructure. You are also expected to be effective at translating Change requirements documented as User Stories and have a mindset to deliver business value while anticipating any impacts as a consequence of the changes.
What will your day look like?
**As a Data Modeller, you are accountable for**:
Assisting with conceptual, logical and physical data modelling for all storage layers of ESG Data Platform.
Assurance of enterprise data governance and architecture standards adoption in the data design.
Implementation of technical feasibility and performance optimisation techniques for data models.
Defining operational and governance metadata for data models, in association with ESG data architect & solution designer.
Assistance in defining and implement data model life cycle process, starting from draft to approval
Management and maintenance of data models
engagement with Enterprise Data Management Office to align ESG data model to the Enterprise Conceptual Data Model (iCDM)
Alignment of data models with ESG data architecture and solution design
What will you bring?
**Relevant Experience**: At least 5+ years of experience in data modelling in big and complex organizations, preferably large financial institutions.
Demonstrated Data Modelling expertise, Project Management, planning and problem-solving skills across a broad range of projects
Strong data focus, with the ability to think along value streams and supporting change or delivery. Ability to maintain high standards of accuracy and work under pressure to achieve deadlines. Proven ability to support delivery squad demands for support for data modelling and reviews.
**Data Modelling Techniques**: Proficient in Data Vault 2.0, 3rd Normal Form, Star Schema, and Snowflake Schema. Should be highly experienced in designing conceptual, logical and physical data models with supporting governance metadata, change management, documentation and cardinality.
**Geo-Spatial Data Modelling**: Should have in-depth previous experience with geo-spatial data modelling, storage, management, and processing.
**Database Management**: Experience with data modelling techniques across SQL and NoSQL databases, including indexing, partitioning, and performance tuning.
**Data Governance**: In-depth knowledge of data governance frameworks and practices, including data quality, metadata management, and data stewardship.
**ETL Processes**: Skilled in understanding technical challenges of ETL/ELT processes for data integration and transformation and design data models to mitigate such challenges.
**Tools and Technologies**: Proficiency with data modelling tools (e.g., EA Sparx, ERwin, PowerDesigner) and database management systems (e.g., PostgreSQL, Big Query).
**Big Data Technologies**: Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud data services (e.g., AWS, Google Cloud) and associated data modelling challenges and best practices.
**Performance Optimization**: Understanding of performance impacts of various data modelling techniques and ability to optimize models accordingly.
Conversant with Information security principles and controls and understanding of document services technology platforms will be a bonus.
**Attention to Detail**: Meticulous attention to detail to ensure accuracy and consistency in data models.
**Business Analysis**: Strong analytical skills to interpret data and translate business requirements into data models.
**Data Analysis**: Ability to analyse large datasets across various data sources and derive meaningful insights to inform data modelling decisions.
Display initiative with a demonstrated ability to manage time & priorities in a fast-paced delivery environment, with an ability to effectively prioritise multiple deliverables and determine the best sequencing to maximise outcomes.
Strong stakeholder management, collaboration, communication, and presentation skills; and the ability to build relationships,, understanding cost vs benefit and prioritization
**Critical Thinking**: Strong critical thinking skills to evaluate data sources, identify patterns, and ensure data integrity.
‘Good to have’ knowledge, skills and experiences
Knowledge of Climate/ESG and associated frameworks
Financial/risk reporting experience.
Regulatory Reporting experience
Experience in change management
Financial Industry data models
So why join us?
ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operatio