Data Transformation Expert

2 weeks ago

Sydney, New South Wales, Australia beBeeSolutionDesigner Full time $130,000 - $170,000
Analytics Solutions Specialist

As a leading expert in complex data analysis, you will play a pivotal role in helping clients transform their business and solve intricate problems.

You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms.

As a technical leader, you will serve as a liaison among business partners, technical resources, and project stakeholders.

The Analytics Solutions Specialist role is at the intersection of analytics, systems, and project delivery, providing thought leadership and innovation for analytical data.

Key Responsibilities:
  • Designing optimal solutions to prepare analytically ready data for use in descriptive, predictive, and prescriptive analytics.
  • Collaborating with business units to understand credit risk-related data elements, including identification of relevant reference data, metadata, and data lineage.
  • Ability to work collaboratively within an Agile delivery framework.
  • Analysing source system data and identifying any derived measures that are used by business.

Development of data definitions, including business rules, physical level data rules, field types, formats, profiling, data sourcing, and end usage of the data.

Data Publication involves managing the transition of data from a conceptual state, such as a prototype, strategy, or model, to operational state in a system for decision-making.

Source data identification, involving identifying the optimal source of the required data variables (e.g., those required for modeling, calculation, and reporting).

Development, management, and support of analytically ready data.

Engineering, detailed design, and optimization for data processes that exist in the Analytics Data Layer.

Embedding of the Agile culture and delivery methodology into the business for ongoing changes.

Requirements:
  • Must have SAS software experience.
  • Must have worked with SAS Credit Risk calculations and understands the end-to-end integration and data flows from source and downstream systems operating in a complex banking environment.
  • Exposure from a design perspective to SAS Viya, SAS Platform Stack, SAS Modernisation, and migration to cloud would be highly regarded experiences.
  • Willig to lead end-to-end solution working with client architects but also be able to support tech delivery teams to troubleshoot issues and provide technical leadership in a complex client environment.

3+ years of experience in a large and complex financial services organization.

7+ years of experience within projects and/or delivery of business and technology solutions, involving engineering of complex data processes.

7+ years of Advanced experience particularly in data manipulation.

3+ years of hands-on experience using Unix/Linux servers.

3+ years of experience in data quality analysis and remediation.

Good Knowledge on Cloud Platforms and Big Data Analytics using Hadoop and Azure.

Detailed understanding of quantitative analytics, its methodologies, and data processes.

Excellent business analysis skills to work through data issues and credit risk data elements.

Strong verbal communication skills to convey information and ideas in a manner that engages the audience and helps them understand and retain messages.

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