Product Analyst

Product Analyst at Partly

Partly Christchurch, Canterbury, New Zealand

Location : Christchurch, New Zealand (in office)

Employment type : Full‑time, Permanent, 40 hours per week

Reporting to : Head of Product (VP of Product)

Salary : $130,000 - $140,000 NZD per annum

Applications open : 11 / 11 / 2025 – 01 / 12 / 2025

Overview

The Product Analyst will help drive a fundamental shift at Partly—from managing by outputs to managing by outcomes—and will report directly to the VP of Product. This role is central to how we measure and scale impact across our rapidly expanding product portfolio. As Partly launches new products, enters new geographies, and supports increasingly complex customer segments, the Product Analyst will establish the analytical foundations that ensure every team understands how their work drives real business outcomes.

Responsibilities

• Design and build key product metrics; develop, document, and maintain measurement frameworks and instrumentation to capture meaningful product and feature performance data.
• Conduct detailed analysis and reporting—perform ad‑hoc and structured analysis on product usage, behavioural data, funnels, and engagement trends; provide insights and recommendations that directly influence product strategy.
• Define, track, and measure product success; collaborate with product managers, engineers, and operations to establish success metrics, monitor performance, and validate the impact of new initiatives.
• Develop BI dashboards and analytical tools; build scalable dashboards using SQL, Looker, Tableau, or equivalent tools; ensure reporting is accurate, timely, and accessible to all stakeholders.
• Data instrumentation & quality management; define tracking requirements, collaborate with engineers on implementation, and establish QA processes to ensure accurate and consistent data capture.
• Produce insights for decision‑making; interpret complex datasets and convert them into structured insights, presentations, and product recommendations for leadership and cross‑functional teams.
• Support data processes & intake systems; develop structured intake flows for analytical requests, prioritise work by impact, and maintain high‑quality documentation for data operations.
• Collaborate with cross‑functional stakeholders; partner with product, engineering, data, operations, and go‑to‑market teams to align metrics, product outcomes, and business goals.
• Contribute to analytics infrastructure improvements; work with data engineers to refine data pipelines, metadata quality, and scalable reporting structures.

Your Skills

Qualifications

Benefits

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