The Warehouse Group (TWG) has become a Kiwi household name, and we proudly recognise the role that we play in communities throughout New Zealand. We are the largest general merchandise retailer in NZ across The Warehouse, Warehouse Stationery & Noel Leeming. Agility and collaboration are cornerstones of our work culture, empowering us to adapt swiftly and work seamlessly together. By being brand-led and retail-focused, we are intentional about placing the right people in the right roles, allowing us to perform work that truly makes a difference. 

 We’re now looking for an experienced Merchandise Analytics Specialist to join our team. This role plays a critical part in shaping how data and analytics support Merchandise decision-making, providing advanced insights that influence strategy, optimise performance and unlock opportunities across the end-to-end retail lifecycle. 

As the Merchandise Analytics Specialist, you’ll lead advanced analytics initiatives across Merchandise, acting as a subject matter expert in retail analytics and data architecture. Partnering closely with Planning, Buying and key support functions, you’ll deliver high-quality insights that bring clarity to performance, trends and opportunities. 

You’ll translate complex data into clear, actionable stories, helping teams make confident, informed decisions. This is a hands-on role where technical expertise, commercial thinking and strong stakeholder engagement come together to drive meaningful business outcomes. 

Key responsibilities include: 

Analytical insight and reporting 

• Developing, maintaining and optimising Power BI dashboards and merchandise performance reports that deliver clear, actionable insights 

• Building analytical models and datasets to support forecasting, performance tracking and scenario analysis 

• Translating business questions into structured analysis with clear recommendations 

• Interpreting patterns and trends using statistical techniques to enhance decision making 

• Leading regular and ad hoc reporting to support Merchandise teams 

• Presenting findings and insights in an accessible, easy-to-understand way 

• Designing reporting structures that enable self-service insights across the Merchandise team 

Data management and engineering support 

• Working with Snowflake to extract, transform and organise data, ensuring accuracy and reliability 

• Supporting the development and refinement of data pipelines, queries and data models 

• Troubleshooting data integrity issues and partnering with technical teams to resolve them 

• Identifying opportunities to automate manual reporting processes 

Stakeholder engagement and collaboration 

• Partnering with cross-functional teams to understand reporting needs and tailor insights accordingly 

• Supporting Buy / Move / Sell decision-making through relevant data and reporting 

• Communicating insights clearly to both technical and non-technical audiences 

• Leading training and creating documentation to support effective use of reports and dashboards 

• Clearly communicating progress, actions and outcomes while living TWG values and behaviours 

• 5+ years’ experience as a subject matter expert in Power BI, including data modelling, DAX and report design 

• Strong SQL capability, with Snowflake experience strongly preferred (or similar cloud data warehouse) 

• Proven ability to work with large, complex and imperfect datasets 

• Strong problem-solving capability and attention to detail 

• Excellent communication skills, with the ability to influence a wide range of stakeholders 

• The ability to tell clear, compelling stories through data 

• A degree in a quantitative discipline such as Analytics, Statistics, Applied Mathematics or Economics 

• A customer-centric mindset and collaborative approach to problem solving 

Desirable experience: 

• Understanding of data visualisation best practices 

• Experience in retail or a fast-paced commercial environment 

We offer a dynamic and supportive team environment working with like-minded people within a business that cares about and recognises individuals.