Senior Data Analyst - Risk Reporting

130000 - 150000

Sydney

Role Purpose

• To understand & document data requirements for Risk reporting & insights.
• To analyse data from source systems, existing enterprise & Risk data sets to determine most appropriate data sources that'll meet Risk reporting & insights requirements.
• To provide source to target mapping, along with business rules and transformation for developers to design & build data assets that meet Risk reporting & insights requirements.
• To design & deliver Risk data assets required for reporting & insights.

Major Accountabilities / Responsibilities

• Engage with customers to understand data requirements & document business objectives, requirements in/out of scope, risks, issues and challenges.
• Analyse source systems, existing enterprise, Risk & other data sets to determine most appropriate data sources that'll meet customer requirements.
• Assess quality of determined data sets to identify gaps, issues and variances & document them as technical findings.
• Discuss technical findings with customers, help them accept the variances or carry out more detailed analysis as requested by customers until agreed & signed off by them.
• Provide source to target mapping, along with business rules and transformation for developers to design & build data solutions that meet customer requirements.
• Assist in defining the data checks and reconciliations required to ensure quality of data solution delivered.
• Lead the delivery of data solutions that meet business objectives and data needs.
• Produce efficient, reliable and maintainable, enterprise grade data and reporting solutions.
• Prepare test scripts, perform testing of data assets prior to production roll out to ensure customer requirements have been met.
• Assist customers performing UAT & PIV of their data assets for validity & accuracy.

Knowledge and Experience

• 7+ years IT experience.
• Experience working in financial services industry.
• Proficiency in SAS, R, SQL, PL/SQL, Hive & UNIX shell scripting.
• Proficiency in relational databases such as Teradata, big data platforms, such as Hadoop and visualisation tools such as Tableau.
• Tertiary qualifications well regarded.

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