Product Analytics Manager
Skills
Software As A ServiceAdoptionBusiness IntelligenceCustomer ExperienceData AnalyticsPresentationsRevenue Forecasting
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Expertise in data visualisation content design and storytelling techniques
- Ability to simplify complex data insights into intuitive formats
- Experience working with executive teams to drive insights adoption
- Ability to bridge data science and business strategy
- Experience in executive-level storytelling for C-suite board members and investors
- Proven ability to modernise legacy reporting systems
- Understanding of AI-driven analytics and predictive visualisations
- Experience in automating reporting and analytics in a SaaS business model
- Deep knowledge of product analytics user behaviour tracking and customer journey visualisation
- Experience working with product managers UX designers and engineers to embed data visualisation in SaaS products
- Understanding of customer segmentation churn analysis and retention metrics
- Expertise in defining and tracking key business KPIs aligned with company OKRs
- Strong grasp of financial reporting revenue forecasting and market trend analysis
- Ability to interpret and present operational metrics for leadership
- Ability to balance data storytelling for internal leadership and product analytics for external users
- 10+ years in data visualisation analytics and business intelligence
Nice to have
- Strategic
- Commercially aware
- Collaborative
- Data-driven
- Influential
- Storytelling focus
Day to day
- Design and lead interactive dashboards, reports, and data storytelling tools that deliver real-time insights.
- Standardise metrics and reporting to ensure the right measures are used for the right audience.
- Partner with product and engineering teams to embed visualisation into SaaS products and improve customer experience.
- Develop compelling data narratives for executives and stakeholders, translating complex analytics into clear and actionable stories.
- Champion a data-driven culture by training teams, improving communication, and modernising legacy reporting approaches.