Product Analyst

Location

Christchurch, New Zealand

Employment Type

Full time

Location Type

On-site

Department

Product & Engineering

Deadline to Apply

November 30, 2025 at 6 : 00 AM EST

Location : Christchurch, New Zealand (in office)

Employment type : Full-time, permanent, 40 hours per week.

Reporting to : Head of Product

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

Applications open 11 / 11 / 2025 Applications close 01 / 12 / 2025

️ This role

The Product Analyst will help drive a fundamental shift at Partly — from managing by outputs to managing by outcomes — and will report directly to our 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, this role will establish the analytical foundations that ensure every team understands how their work drives real business outcomes.

The Product Analyst will design metrics, uncover insights, and translate data into clear, actionable narratives that empower our product and engineering teams to make smarter, faster, and more autonomous decisions.

What will you do

Design and build key product metrics.

Develop, document, and maintain measurement frameworks and instrumentation to capture meaningful product and feature performance data.

Conduct 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.

Work with product managers, engineers, and operational teams 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 technical and non-technical stakeholders.

Data instrumentation & quality management.

Define tracking requirements, collaborate with engineers on implementation, and establish quality assurance 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 used by leadership and cross-functional teams.

Support data processes & intake systems.

Develop structured intake flows for analytical requests, prioritise work based on 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 ensure alignment between 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.