Senior Product Analyst

• A flexible holiday plan of up to 40 days per year  
• £400 a year Wellbeing Allowance  
• Private Medical Insurance  
• Allowance for professional development books, E-books, and podcasts  
• Contributory pension scheme 
• Employee, friends and family discounts across 1200+ retail, hospitality and lifestyle brands  

What You’ll be Doing:

• Cultivate and champion a data-driven culture by educating stakeholders on the value and best use of data, empowering them to make informed decisions 
• Be a partner to Product Managers throughout the Discovery/Design phase of the PDLC, ensuring the right metrics are considered and are trackable post release 
• Evangelise and democratise access to product data and help derive actionable insights 
• Deliver thoughtfully designed self-serve dashboards and reports that deliver value to the user, while maintaining and improving the existing suite 
• Help improve the data literacy of the product organisation 

• Assist in the management and implementation of analytics tools used in product development and reporting 
• Ensure analytics platforms are correctly utilised to meet reporting needs 
• Define best practice for analytics (event taxonomy, naming conventions, properties, user/device IDs etc.) 

Experience and Skills You Need in this Role:

• Proven experience in a Product Analyst, Data Analyst, or Insights Analyst role, particularly in a SAAS environment 
• Demonstrates a strong understanding of data implementation principles (including tracking tags / events), product metrics and performance indicators 
• Demonstrable experience of building a data driven culture within a product organisation and managing change 
• Able to influence teams to adopt new practices 
• High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)  
• Strong analytical skills with the ability to identify trends and provide actionable insights. 
• Familiarity with statistical concepts and data analysis techniques. 
• Familiarity with data platforms including data warehouses & modelling tools such as DBT would be a plus 
• Excels at building strong partnerships with stakeholders and sharing knowledge openly within a collaborative team 
• Ability to work with multiple product teams/stakeholders concurrently 
• Confidently communicate findings and recommendations to senior technical and non-technical audiences 
• Good organisational skills with the ability to prioritize tasks effectively 

The Interview Process:

• Screening Interview with Senior Talent Acquisition Partner 
• First stage Interview with  Head of Product Operations
• Assessment Task and Final Interview with Director of Product Operations & member of the Product Operations team