Sas Solution Designer - Sydney, Australia - IBM

IBM

Verified Company

Sydney, Australia

5 days ago

Posted by:

Olivia Brown

beBee Recruiter

Description

Introduction
As an IBM Application Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders.

Your Role and Responsibilities

The Solution Designer role is the intersection of analytics, systems and project delivery, providing thought leadership and innovation for analytical data.

The function is accountable for the overall solution design of the extraction, transformation and creation of analytically ready data, that is, data specifically created in an agile manner for use in descriptive, diagnostic, predictive and prescriptive analytics.

The main accountability of this role is to play a lead role in designing, governing and implementing strategic risk data solutions which meet the needs of both the business and IT.

This role requires to work closely with the Enterprise Architects, Information Architects and act as the liaison between the Analytics team, various technology teams including strategic partners and the various business areas.

As a SAS - Solution Designer, your detailed responsibilities include -
Designing optimal solution to prepare analytically ready data for use in descriptive, predictive and prescriptive analytics.

Work 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.
Analyse source system data and identify 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, involving managing the transition of data from a conceptual state, such as a prototype, strategy or model, to operational state in a system for decisioning. Ability to provide the link between systems functions, analytics or modelling and project functions.
Source data identification, involving identifying the optimal source of the required data variables (e.g., those required for modelling, calculation and reporting).

Data Investigation

Analyse data for issues to help determine the root cause of the issue and where required, the development of business rules that need to be applied.
Maintain and enhance analytical data knowledge through the publication of information into the analytics knowledge management solution.

Development, management and support of analytically ready data.

The development of analytical data routines for extraction, alignment, transformation and preparation for analytical consumption.
Engineering, detailed design and optimisation for data processes that exist in the Analytics Data Layer.
Development and enhancement of the Analytics Data Framework by providing thought leadership on how analytics data needs to be managed, delivered and created.
The creation and management of automation to schedule data processes and publish analytics
Embedding of the Agile culture and delivery methodology into the business for ongoing changes.

To ensure success in the role you will possess the following skills -

Must have SAS software experience.
Must has worked with SAS Credit Risk calculations and understands the end to end integration and data flows from source and down stream systems operating in s 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.
Willing to lead end to end solution working with client architects but also be able to support tech delivery teams to trouble issues and provide technical leadership in a complex client environment
3+ years' experience in a large and complex financial services organisation.
7+ years' 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 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. This role aims to enhance and innovate the data processes that underpin analytical activities.
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.
Strong written skills to be able to clearly articulate and present findings to senior