eCommerce Analytics Specialist

Foodstuffs North Island; Māngere-Ōtāhuhu; On-site; NZD 85,000 - 115,000; Full time

Benefits offered by this job

Free carparking

Subsidised health insurance

Onsite café with subsidised meals and

Flexible working options

Learning and development programmes

Job summary

Foodstuffs North Island is seeking an analytical and detail-focused eCommerce Business Analyst to own and maintain critical reporting and dashboard solutions, ensuring stakeholders have timely and actionable insights to support performance.

You'll play a key role in maintaining BAU reporting while advancing automation, building Power BI dashboards, and using Python-based reporting across multiple data sources in a fast-paced environment.

Qualifications

• 2 to 4 years' experience in a Business Analyst, Data Analyst or similar analytical role.
• Strong hands-on Python experience for reporting and automation.
• Experience building and maintaining dashboards using Power BI.
• Strong numerical and analytical skills across multiple datasets and data quality.

Responsibilities

• Own and maintain eCommerce dashboards and reporting solutions using Power BI.
• Support and maintain automated weekly reporting processes, ensuring timely delivery.
• Monitor, maintain and troubleshoot Python-based reporting and automation solutions.
• Validate, test and review code before release to ensure reporting accuracy.
• Work across multiple data sources to identify trends and deliver insights.

Skills

Python for reporting

Data analysis

Stakeholder engagement

Analytical mindset

Education

Bachelor's degree in Finance/IT/Business/Data Analytics

Tools

Power BI

Job description

Foodstuffs North Island is seeking an analytical and detail-focused eCommerce Business Analyst to own and maintain critical reporting and dashboard solutions, ensuring stakeholders have timely and actionable insights to support performance.

You'll play a key role in maintaining BAU reporting while advancing automation, building Power BI dashboards, and using Python-based reporting across multiple data sources in a fast-paced environment.