Software Engineer

Advanced Analytics Professional Key Responsibilities:

· The Advanced Analytics Professional supports the collection, analysis, interpretation, and presentation of data to support the strategic decision making

· Supports the acquisition, processing, integration, and cleaning of data from multiple sources

· Uses a variety of tools to automate data collection and build reports guided by procedures

· Undertakes initial data investigation and data analysis to identify trends in data, deriving insights to help deliver business improvement

· Designs and builds data visualisation to engage audience in a compelling way and to enable effective storytelling

· Supports the development and refinement of data dashboards and reports

· Supports the presentation of data insights to relevant stakeholders for planning and decision support

· Supports in the implementation of ways to improve working processes within the area of data analytics

· Owns contribution to team and data governance processes, policies & regulations.

Follows best practices and agile methodology, owning sprint goals and participating in sprint activities and governance

Key Skills:

· Data Analysis / Data Preparation - Advanced

· Dataset Creation / Data Visualisation - Advanced

· Data Quality Management - Intermediate

· Programming / Scripting - Intermediate

· Data Storytelling - Intermediate

· Business Analysis / Requirements Analysis - Intermediate

· Data Dashboards - Advanced · Business Intelligence Reporting - Advanced

· Database Systems - Intermediate

· Agile Methodologies / Decision Support- Foundation Technical Skills:

· Cloud - GCP Fundamental (Compute, BI Tools, Data Query) - Intermediate

· Coding Lang – Sql, R, Python - Advanced

· Libaries - SkLearn, Tensorflow, Matplotlib etc- Intermediate

· Database - Big Query, Sql, ETL Intermediate

· Visualization tools – Qlik – Advanced to Expert