Data Analyst

1. Job Title:

1. Reporting to:

Data Analyst

General Manager

1. Purpose of the Role:

Responsible for sourcing, processing and analysing data in relation to operations in order to derive actionable insights and opportunity identification. This role is responsible for supporting the delivery of all core operational metrics, including but not limited to: cost, efficiency, service level delivery and inventory accuracy.

This role will undertake a series of projects to improve data visibility and utilisation within the operation, to support the delivery of key projects and improvements. This role requires a basis in understanding of operational processes strength in numerical understanding and logical reasoning, as well as the technical skills require to acquire, process, manipulate and analyse large data sets.

1. Duties / Responsibilities:

• Leveraging analytical thinking to draw actionable insights from a variety of data sources, including presentation to stakeholders and senior leaders
• Implement Data Visualisation software to create Operations Dashboards
• Building reporting dashboards as necessary across projects and key metrics
• Building numerical models for operational use, including but not limited to: performance reports, operational forecasting and planning
• Conducting data and process deep dives alongside operational leaders to unpick complex operational issues

1. Knowledge / Skills / Experience:

• Operational experience required, D2C/Warehousing experience highly beneficial
• Experienced in the application of Python to support data analysis
• Advanced ability to write SQL and navigate large database architectures
• Advanced understanding and use of excel, including Macros, VBA
• Structured and thorough in approach to analysing and presenting data
• Highly experienced in the use of data visualisation tools such as Power BI, Tableauand similar
• Demonstratable experience in deriving actionable insights from large data sets
• Experience in a variety of analytical methods, including but not limited to: statistical analysis, processing mapping, regression analysis and hypothesis testing
• Experienced in the creation of PowerPoint presentations to share results, insights and performance with stakeholders 

1. Key Stakeholders:

• Operational Leaders
• Site Leadership team
• Internal customers including, but not limited to, tech, retail and events teams, eComm team and Branding and Merch