Job Description

Senior Data Analyst (f/m/d)
London
Contract
Competitive
PCD300003

About the Opportunity
We are seeking an experienced Senior Data Analyst (f/m/d) to help us quantify success across our product, identify and prioritise opportunities for product development, and find patterns in behaviour that can be used to drive conversations with our customers about how they can get the most out of our Product.
You will own the analytical framework that links product adoption to customer impact and business success. You will collaborate broadly across Product Development and Customer Experience teams to continuously strengthen and scale this framework. Your primary focus will be on designing and implementing repeatable, scalable analytical solutions that inform high-stakes strategic decisions across the organisation.
The ideal candidate possesses deep fluency in data manipulation and statistical methods, combined with a strong commercial mindset. You must be adept at moving beyond descriptive analysis to distill actionable recommendations, translating complex data stories into clear, impactful insights for both technical and non-technical stakeholders.
While ad-hoc deep-dive analysis will be required, the early emphasis is on establishing robust, automated measurement systems that guide decisions throughout our business.
What to expect?
Framework Ownership: Design, implement, and maintain the end-to-end analytical frameworks linking user behaviour, customer value, and commercial outcomes (e.g., retention, expansion).
Analytical Frameworks: Design and maintain analytical frameworks (e.g., funnel analysis, cohort analysis, statistical modelling) to provide reliable and reproducible measurement of product performance.
Strategic Analysis & Insight: Perform deep-dive quantitative analysis utilizing statistical methods to measure the drivers of product success, operational efficiency, and customer experience.
Data Storytelling: Clearly tell the story of your insights for technical and business stakeholders, distilling complex analytical findings into actionable recommendations and strategic narratives.
KPI Definition & Monitoring: Collaborate with stakeholders across Product and Customer Experience to define, implement, and continuously monitor key product and operational metrics, including setting targets for new initiatives.
Data Governance & Quality: Work closely with Analytics Engineers to ensure data quality, tracking adherence, and the integrity of product event schemas and analytical datasets.
Visualization & Reporting: Build and maintain insightful dashboards and reports in our BI tool (e.g., business intelligence tooling, business intelligence tooling) that provide clear, self-service information for leaders across the business.

Desirable:
Advanced Analytics: Practical experience with causal inference frameworks or predictive modelling to assess the impact of product changes beyond simple observation.
Commercial Acumen: Deep understanding of the commercial/financial side of a SaaS company, using this knowledge to drive recommendations that impact the top line.
Data Governance & Tracking: Experience defining and maintaining event schemas (e.g., in customer data platform or similar) to ensure high-quality product telemetry.
Analytics Engineering Familiarity: Familiarity with modern data modelling tools like data transformation tooling, understanding the principles of building clean, transformation-driven analytical datasets.
Engineering Practice: Experience with source control using version-control tooling.
What's in it for you?
Join an ambitious tech company reshaping the way people build digital experiences
Full-time employees receive Stock Options for the opportunity to share in the success of the organisation
Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days
Use your personal annual education budget to improve your skills and grow in your career
Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
An annual wellbeing stipend to care for your physical, financial, or emotional health
A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

What you need to be successful Critical:
Experience: At least 7+ years of experience working as a dedicated data or product analyst, ideally in a B2B SaaS environment.
SQL Mastery: Fluency in SQL for complex querying, data manipulation, and optimization across enterprise-scale data warehouses (e.g., cloud data platform).
BI Tooling: Experience visualizing complex data and using modern BI tools (e.g., business intelligence tooling, business intelligence tooling).
Statistical Proficiency: Solid grasp of statistical methods and principles, including quantitative analysis and regression modelling, and experience in applying these to complex business problems, ideally working with Python.
Framework Design: Proven ability to design, implement, and maintain repeatable, scalable analytical frameworks that drive consistent measurement across multiple product areas.
Stakeholder Influence: Proven ability to work autonomously, translating ambiguous business questions into clear analytical plans and effectively presenting data to influence strategic product and business decisions.