Product Analyst

We’re leading the charge in transforming the trillion-dollar global replacement parts industry by making it really easy for repairers to find the right parts.

Product Analyst

Location

Employment Type

Full time

Location Type

On-site

Department

Deadline to Apply

November 30, 2025 at 11 : 00 AM GMT

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 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.

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.

SQL proficiency and demonstrated experience building complex queries for analytics use‑cases.

Experience with BI tools such as Looker, Tableau, or internal reporting systems.

Strong analytical and problem‑solving skills , with the ability to translate ambiguous business needs into structured metrics and insights.

Experience in product, analytics, or operational data roles , ideally within fast‑paced or high‑growth environments.

Cross‑functional communication skills , with a track record of partnering closely with engineering, product, vendor, or operations teams.

Experience designing or managing data intake systems , delivery frameworks, or analytics request pipelines.

Understanding of data quality frameworks , QA processes, or structured feedback loops.

Ability to manage multiple complex workstreams , prioritise effectively, and deliver high‑quality outcomes under time constraints.

Program and delivery management across engineering and product, and vendor teams.

Experience with data pipelines , ETL processes, or analytics engineering concepts.

Exposure to AI / ML data systems , behavioural datasets, or platform‑scale analytics.

Qualifications

Required :

Bachelor’s degree or higher in a relevant field such as Analytics, Business, Information Systems, Computer Science, Engineering, or a closely related discipline.

Preferred :

Postgraduate qualification in Analytics, Product Management, or Business. Or a Professional certification in product, analytics, or BI disciplines.

High trust, low process and no bureaucracy. We hire exceptional people whose judgment we trust — and remove rules that slow us down.

Competitive base salary + equity. Generous employee stock options for all full‑time team members.

Flexible working hours with autonomy over schedules; office‑first where we have hubs (Christchurch, Auckland, London).

Focus Days (twice weekly). Zero‑meeting days for deep work and execution.

Take time when you need it. Flexible leave philosophy; no penalties for negative balance.

Premium office environments (standing desks, healthy snacks, quality coffee, drinks on tap).

Continuous learning. Lunch‑and‑learns, fireside chats with global operators, and access to world‑class talent.

Quarterly and annual offsites. In‑person collaboration weeks with cross‑regional teams.

Team connection rituals. Monthly lunches, celebrations, happy hours, and more.

Parental leave & flexible return options. 4‑day weeks on 100% pay for primary carers (first 12 weeks), 10 days full pay for secondary carers.

Payroll Giving. Partly donates to high‑impact charities you choose.

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