Senior Product Analyst 199646

Harnham; Brighton; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Dedicated learning & development

Career progression

Data & AI investment

Collaborative culture

Job summary

Harnham is seeking a Senior Product Analyst to shape how data is used to drive commercial decisions, improve product experiences and influence long-term outcomes. You will work with Product Managers, Engineers and senior stakeholders to identify opportunities and deliver measurable impact.

Key responsibilities include conducting product analytics, sizing opportunities, designing A/B tests, and delivering data storytelling to guide strategic decisions as the data capability scales.

Qualifications

• Strong experience turning data into commercial recommendations and business outcomes.
• Excellent stakeholder management skills with the ability to influence decision-making.
• Experience in 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 balance of 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.

Responsibilities

• Understand complex business and product challenges through data analysis.
• Identify, size and prioritise commercial opportunities.
• Conduct product analytics to improve customer experiences and business performance.
• Define success metrics and build frameworks for measuring impact.
• Design, implement and analyse A/B tests and experimentation programmes.
• Support product teams with insight-driven decision making.
• Deliver data storytelling and recommendations to senior stakeholders.
• Collaborate across analytics, data engineering and data science disciplines.
• Leverage AI tools and emerging technologies to enhance analysis and product development.

Skills

Data storytelling

Stakeholder management

Product analytics

SQL

Experimentation

AI & ML interest

Communication to technical audiences

Job description

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.