Software Engineer

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

Libraries - SkLearn, Tensorflow, Matplotlib etc- Intermediate

Database - Big Query, Sql, ETL Intermediate

Visualization tools – Qlik – Advanced to Expert