Product Analytics Lead

Overview

As a Senior Product Analyst, you will drive data-informed product decisions across Reward Gateway’s SaaS offerings. You’ll partner with Product Managers to define measurable metrics during discovery and design, and ensure data is accessible for teams post-release. You will evangelise data literacy, build self-serve dashboards, and improve analytics practices. This role sits at the heart of transforming how we measure impact and inform product strategy, within a collaborative, growth-focused culture.

Pay / Benefits

• flexible holiday plan up to 40 days per year
• Wellbeing Allowance 400 per year
• Private Medical Insurance
• Allowance for professional development books, e-books and podcasts
• Contributory pension scheme
• Employee discounts across 1200+ brands

Responsibilities

• Champion a data-driven culture by educating stakeholders on value and use of data
• Partner with Product Managers during discovery and design to select trackable metrics
• Democratise access to product data and derive actionable insights
• Create and maintain self-serve dashboards and reports that deliver user value
• Enhance data literacy across the product organisation
• Assist in analytics tool management and ensure correct tool utilization
• Define best practices for analytics (event taxonomy, naming conventions, properties, IDs)

Key requirements

• Proven experience as Product Analyst, Data Analyst, or Insights Analyst in a SaaS environment
• Strong understanding of data implementation principles (tracking tags/events) and product metrics
• Experience building a data-driven culture and managing change
• Ability to influence teams to adopt new practices
• High proficiency in Heap, Tableau, Power BI, Excel, SQL
• Strong analytical skills to identify trends and provide actionable insights
• Familiarity with statistical concepts and data analysis techniques
• Familiarity with data warehouses and modelling tools (e.g., DBT) is a plus
• Ability to partner with multiple product teams and communicate findings to diverse audiences
• Good organisation with task prioritisation

• Influencing and stakeholder management
• Collaborative mindset
• Clear communication to both technical and non-technical audiences
• Heap
• Tableau
• Power BI

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