eCommerce Analytics Analyst | Power BI & Python

Foodstuffs North Island Limited

Auckland

Hybrid

NZD 90,000 - 120,000

Full time

6 days ago
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Benefits offered by this job

Free carparking
Southern Cross health insurance
Onsite café discounts
Flexible working options
Learning & development programmes

Job summary

Foodstuffs North Island Limited is seeking an analytical eCommerce Business Analyst to own and maintain reporting and dashboards, delivering accurate insights to support performance. You’ll automate weekly reports, troubleshoot Python-based processes and collaborate with stakeholders across the business.

We value strong Python and Power BI skills, a Bachelor’s degree, and 2–4 years’ experience in BA or data roles, with a calm, detail‑oriented approach in a fast-paced environment.

Qualifications

  • 2–4 years of experience in Business Analysis, Data Analysis or similar analytical role.
  • Strong hands-on Python experience for reporting, automation and data analysis.
  • Experience building and maintaining dashboards using Power BI.

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 accuracy.
  • Work across multiple data sources to identify trends and deliver insights.

Skills

Python
Analytical thinking

Education

Bachelor's degree in a relevant discipline

Tools

Power BI

Job description

Foodstuffs North Island Limited is seeking an analytical eCommerce Business Analyst to own and maintain reporting and dashboards, delivering accurate insights to support performance. You’ll automate weekly reports, troubleshoot Python-based processes and collaborate with stakeholders across the business.

We value strong Python and Power BI skills, a Bachelor’s degree, and 2–4 years’ experience in BA or data roles, with a calm, detail‑oriented approach in a fast-paced environment.

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