Ref No.: 20-01908
Location: Sydney, New South Wales
Short Description: This role requires an ability to work closely with the business stakeholders to understand the various reports, dashboards and use cases developed by the bank. The candidate needs to be a mediator between the business and the technical teams demonstrating an ability to single handedly translate the business terminologies into data artefacts by performing extensive business and data analysis facilitating the integration of data from various banking systems.

Skill: SQL, Oracle/Teradata, Hive Query, Basic HDFS and Cloud Concepts,  Data Analysis skills, Functional knowledge on Banking and Financial systems/entities

Roles and Responsibilities:
•    Identify and define the business problem, perform complex data analyses and provide end to end data integration solution that can be fed into design and build.
•    Work closely with business to understand the program needs and break down the same into technical components for each phase of the delivery
•    Drive the complete process of building an end to end solution to the business use cases
•    Build strong working relationships with internal partners that are based on mutual trust. 
•    Work well with a range of different people in different roles
•    Actively collaborate with customers and colleagues to ensure delivery excellence
•    Display a growth mindset by proactively seeking feedback.

Skill/Competency Requirements:
Essential – 

•    Minimum 5 years of SQL hands-on experience.
•    A minimum of 5 years' experience of data analysis in Financial Services/Banking or similar
•    Business knowledge of Data Reporting and Post Implementation Reviews
•    Ability to present analysis and technical information to a non-technical audience 
•    Ability to analyze business needs to perform required data discovery
•    Ability to refine business reporting requirements into data transformationsUnderstanding of the data ingestion patterns from a variety of source systems viz. file/RDBMS/Mainframe
•    Understanding of data warehouse concepts

Preferred –
•    Exposure to R/Python and Unix Shell Scripting
•    Knowledge or exposure to data engineering techniques is preferred
•    Good to have an understanding of basic data modelling and data integration 

Additional skills:
•    Knowledge on Australian Financial Regulations and various compliance and AML processes