At a Glance
- Tasks: Shape data-driven strategies and enhance product experiences in a collaborative environment.
- Company: Fast-growing tech company prioritising data and AI for future growth.
- Benefits: Competitive salary, dedicated learning support, and long-term career progression.
- Other info: Work with cutting-edge AI tools and contribute to a growing data community.
- Why this job: Join a pivotal team transforming data capabilities and making a real impact.
- Qualifications: Strong analytical skills and experience in product or technology environments.
The predicted salary is between 90000 - 90000 £ per year.
- Senior Product Analyst
- Brighton (Hybrid) | £90,000 Base Salary
This is an exciting opportunity to join a growing Data & Analytics function at a business that is placing data and AI at the heart of its strategy.
As a Senior Product Analyst, you'll help shape how data is used to drive commercial decisions, improve product experiences, and influence long-term business outcomes.
You'll join at a pivotal time as the organisation evolves its data capability and scales a high-impact team.
The Company
They are a fast-growing, product-led technology business operating internationally, with data and AI playing a central role in their future growth.
The organisation has invested heavily in building strong data foundations, creating a mature analytics environment and fostering a culture of experimentation and innovation.
As they continue to scale, they are transforming their data function from a centralised model into embedded product teams, creating greater proximity between data professionals and business decision-making.
This is a highly collaborative environment where commercial impact is valued as much as technical excellence.
The Role
As a Senior Product Analyst, you will work closely with Product Managers, Engineers, Designers and senior stakeholders to identify opportunities, influence strategy and deliver measurable business impact.
Key responsibilities include
- Understanding complex business and product challenges through data analysis.
- Identifying, sizing and prioritising commercial opportunities.
- Conducting product analytics to improve customer experiences and business performance.
- Defining success metrics and building frameworks for measuring impact.
- Designing, implementing and analysing A/B tests and experimentation programmes.
- Supporting product teams with insight-driven decision making.
- Delivering data storytelling and recommendations to senior stakeholders.
- Collaborating across analytics, data engineering and data science disciplines.
- Leveraging AI tools and emerging technologies to enhance analysis and product development.
- Contributing to a growing data community and helping shape best practice.
Projects may include recommendation engines, customer personalisation, checkout optimisation, fraud reduction, financial process improvement, customer segmentation and AI-powered product features.
- Your Skills & Experience
- Strong experience turning data into commercial recommendations and business outcomes.
- Excellent stakeholder management skills with the ability to influence decision-making.
- Experience working within product, digital, e-commerce or technology environments.
- Strong analytical capability, including SQL and relevant analytical tooling.
- Experience designing and evaluating experiments, including A/B testing and statistical analysis.
- Commercially minded with the ability to balance rigour and pace.
- Comfortable working through ambiguity and solving open-ended business problems.
- Interest in AI, machine learning and emerging technologies.
- Ability to communicate complex findings clearly to both technical and non-technical audiences.
- Experience with product analytics, opportunity sizing and performance measurement.
Applications are also welcomed from candidates with strengths across either of the following areas:
- Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification.
- Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products.
- What They Offer
- Significant investment in Data & AI capabilities.
- Opportunity to help shape a growing team expanding from 10 to approximately 16 people.
- Dedicated learning and development support.
- Long-term career progression as the Data & Analytics function continues to scale.
- Exposure to cutting-edge AI, experimentation and product development initiatives.
- Collaborative, high-performing and commercially focused culture.
How to Apply
If you're passionate about using data to influence product strategy, solve complex business challenges and deliver measurable impact, please apply today.
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