Job Overview:

Our client is a renowned global banking and financial services organization delivering enterprise-scale cloud, data, and digital transformation programs. The organization offers a collaborative environment, modern technology stack, long-term growth opportunities, and opportunities to work on high-impact platforms supporting millions of users worldwide. We are seeking an experienced Analytical Engineer with strong expertise in Data Analysis, Data Modelling, SQL, and enterprise data platforms.

Detailed Job Description:

This role involves translating business requirements into analytics-ready datasets, implementing robust data models, ensuring data quality, and supporting enterprise reporting and analytics initiatives. You will work closely with business analysts, data architects, and engineering teams within a mission-critical enterprise cloud and data transformation program.

Key Responsibilities:
- Translate business requirements into well-structured, analytics-ready data models and datasets
- Design and implement Data Vault 2.0 and dimensional (star/snowflake)



data models for enterprise reporting
- Write and optimize complex SQL queries for large-scale data transformation and analysis
- Perform data profiling, validation, and quality checks to ensure accuracy and consistency across pipelines
- Establish and enforce data governance standards, definitions, and lineage documentation
- Collaborate with Cloud Data Engineers to build and validate pipelines within Azure and Databricks environments
- Partner with business stakeholders to define KPIs, metrics, and reporting requirements
- Support enterprise BI and analytics teams with curated, trusted datasets
- Document data models, business logic, and transformation rules for audit and governance purposes

Mandatory Technical Skills:

Data Analysis, Advanced SQL, Data Modelling, Data Vault 2.0, Dimensional Modelling, Data Governance, Data Profiling, Data Validation, Azure, Databricks

Preferred Skills:

Business

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