Data & Analytics Manager at Woolworths

Introduction

• Working within the Woolworths Online team – but with a wider remit within the business – the role will be responsible for the development and implementation of data and advanced analytics solutions to enable accurately measuring and reporting on the performance of our online channels via analytics and other data management tools in an automated fashion. Delivering data insight into the business, the role will be instrumental in helping to shape the future of ecommerce and omni-channel in Woolworths. The role will be responsible for setting ambition and culture, and championing for the use of data and analytics in developing transformative and impactful ecommerce and omni-channel solutions. Data and analytics are real strategic assets across the business. The role will work with the broader business including FOODS, FBH, IT, ROG, WFS and external partners, etc. to establish a more data- and analytics- centric approach to how Woolworths Online and App innovates, engages customers and operates. The role is in addition expected to influence the Head of Online and other stakeholders to drive strategic shifts for ecommerce and omni- channel.

Job description
Strategy and Development:

• Develop and drive data and analytics strategy for Woolworths Online.
• Own the development of site and app analytics tools (like G4).
• Translate business objectives into requirements, develop clear measurement frameworks and reporting guidelines, ensuring stakeholders have a clear understanding of KPI’s.
• Promotion/education of Digital Analytics to wider business- from clear communication of reporting to training on digital analytics tools.
• Identify opportunities to build on current toolset to deliver a complete view of customer, leveraging on-site/off-site behavioural and demographic data.
• Work with stakeholders outside the Woolworths Online team to develop an omni-channel view of the customer and ensure ecommerce data is incorporated into the business data platforms.
• Perform competitive benchmarking and trending analysis.
• Lead research and evaluations of new tools, KPIs and analytical methodologies.

Reporting & Analysis:

• Implement and configure analytics platforms and visualisation tools.
• Automate the delivery of weekly trade reports and scorecards.
• Provide structure and direction to build out a reporting suite that provides a full view of omni-channel journeys. including top line budgets and KPIs plus future forecasting.
• Democratisation of web data through development of the self-serve environment (Digital Analytics hub).
• Proactively surface commercial opportunities and margin-expansion levers through advanced analytics, moving the team beyond reactive requests into a strategic partnership role.
• Proactively identify opportunities and risks and communicate these finding back to the relevant stakeholders.
• Lead the drive for continuous improvement in site tagging, testing and analytics measurement.

Fraud and Loss Prevention:

• Manage and implement processes and system enhancements to prevent fraud.
• Manage fraud prevention algorithms.
• Work with outside organisations to combat ecommerce fraud. 

Minimum requirements

• 5-10 years of experience in developing and implementing data and advanced analytics solutions with significant experience in the retail and ecommerce sector.
• 5-10 years analytics experience in an ecommerce and/or retail environment.
• University degree preferably in technology, data sciences, computer sciences or applied mathematics.
• Demonstrable corporate management experience.
• Deep practical understanding of advanced analytics methodologies including AI and machine learning.
• Proven track record in building large integrated data lakes and data warehouses in an environment with established heritage systems and different sources of data including connected devices, apps, etc.
• Deep understanding and practical experience in technology around data, incl. data ingestion, API, etc
• Proven proficiency in multi-cloud environments, specifically AWS and GCP (BigQuery), with Azure experience considered a strong advantage for cross-functional data integration.
• Broad and deep understanding of data landscape in retail and ecommerce.
• A high-level understanding of data governance, privacy and security issues.
• Expertise in GA4 and Firebase data structures, with deep technical understanding of BigQuery exports, data processing schemas, and event-based tracking.
• Experience with mobile attribution and marketing analytics platforms, with a preference for AppsFlyer.
• Fraud and loss prevention experience.
• Strong communicating and influencing skills.

Deadline:25th March,2026