The ad says“Familiarity with statistical concepts and data analysis techniques”
The ad says“Demonstrates a strong understanding of data implementation principles (including tracking tags / events), product metrics and performance indicators”
The ad says“High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)”
The ad says“High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)”
The ad says“Demonstrates a strong understanding of data implementation principles (including tracking tags / events), product metrics and performance indicators”
The ad says“High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)”
The ad says“Demonstrates a strong understanding of data implementation principles (including tracking tags / events), product metrics and performance indicators”
The ad says“High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)”
The ad says“Familiarity with statistical concepts and data analysis techniques”
The ad says“High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)”
Values
The ad says“Familiarity with data platforms including data warehouses & modelling tools such as DBT would be a plus”
The ad says“Familiarity with data platforms including data warehouses & modelling tools such as DBT would be a plus”
The ad says“Familiarity with data platforms including data warehouses & modelling tools such as DBT would be a plus”
Reporting To: Head of Product Operations
We are looking for a Senior Product Analyst to join us and support product teams by fostering a culture of data-driven decision making, implementing best-practice tracking, and creating data-driven insights
Ideally, you’ve already excelled in an analytics, insight, research, or data-related role at a SAAS company
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.)
Benefits
Life assurance
Bonus for referring a friend who we hire and have completed 3 months’ service
Debt support programme & salary advances
Pension/401K
Discounts to share with friends and family
Employee Share Plan
Family support - Baby Bonus, caregiver support, domestic violence protection programme, parent support loan, miscarriage and baby loss support, wedding bonus and up to 3 months paid leave to take care of your family
Unlimited time off to give blood
Volunteer days plus a day of leave to Speak Up and be the change you want to see in the world
Gender neutral parental leave for primary and secondary carers
Unlimited free books for your professional development and one fiction book per month to help you unwind
Up to 6 months unpaid leave after five years’ service
Work from home bundles
Employee assistance programme
Flexible working
Trans & gender affirmation support
Health benefits such as free eye tests, free flu jab, freedom from addiction, menopause support, stop smoking assistance programme and health cash plan
Personal wellbeing allowance, personal wellbeing coach, run club, spa and gym discounts, plus cycle to work scheme
Bring your dog to work, drinks and breakfast
Preferred experience
Proven experience in a Product Analyst, Data Analyst, or Insights Analyst role, particularly in a SAAS environment
Familiarity with data platforms including data warehouses & modelling tools such as DBT would be a plus
Demonstrable experience of building a data driven culture within a product organisation and managing change
Ability to work with multiple product teams/stakeholders concurrently
Excels at building strong partnerships with stakeholders and sharing knowledge openly within a collaborative team
Familiarity with statistical concepts and data analysis techniques
Strong analytical skills with the ability to identify trends and provide actionable insights
Demonstrates a strong understanding of data implementation principles (including tracking tags / events), product metrics and performance indicators
Good organisational skills with the ability to prioritize tasks effectively
High proficiency in data analysis tools/techniques (e.g., Heap, Tableau, Power BI, Excel, SQL)
Able to influence teams to adopt new practices
Confidently communicate findings and recommendations to senior technical and non-technical audiences
Recruitment process
Applied
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