Advanced Analytics Consultant (Qlik is mandatory)- Contractual Role

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