About the role
🖍️ 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. 🥷 Your skills 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. 🎓
