Commercial Insights Data Analyst

About the Business

Our client is a rapidly expanding consumer health business operating in a fast-moving ecommerce market. The business is growing quickly and responsibly, with cross-functional teams that move at pace.

The Role

This role is based at their Southampton HQ and sits within the wider strategic marketing team and is responsible for delivering data-driven insight to improve ecommerce performance across acquisition, on-site conversion, and subscription retention. The role combines hands-on analysis, experimentation measurement and stakeholder-facing storytelling to influence product, marketing and operations decisions that increase revenue per visitor and lifetime value. The successful candidate will partner closely with Trading, Growth, Product, Data Engineering and Customer Operations to translate data into prioritised opportunities and measurable outcomes.

Core Responsibilities

• Commercial Analysis & Reporting

  Develop and maintain dashboards and regular reporting that track key ecommerce metrics (revenue per visitor, conversion rate, AOV, retention, LTV). Surface actionable insight and present findings to commercial and executive stakeholders.

• Experimentation & Measurement

  Design measurement frameworks for A/B and cohort experiments, define success metrics, validate randomisation, and analyse experiment outcomes to quantify impact on revenue and conversion. Recommend and support scaling of winning variants.

• Funnel & Cohort Analysis

  Perform deep-dive funnel diagnostics and cohort survival analysis to identify drop-off points, conversion drivers and revenue opportunities across the customer journey from landing through assessment, purchase and early post-purchase behaviour.

• Data Modelling & SQL

  Own SQL-based analysis and build reproducible models to estimate unit economics, CLTV and contribution margins by channel, cohort and product. Work with data engineering to improve event instrumentation and data quality.

• Cross-functional Delivery

  Collaborate with Product, Design, Engineering and Commercial teams to translate insights into prioritised experiments and product changes. Create clear measurement plans and acceptance criteria to ensure outcomes are tracked end-to-end.

• Insight Communication

  Deliver concise, evidence-led recommendations and executive-ready reporting. Communicate trade-offs and confidence intervals clearly to non-technical stakeholders to drive faster decisions.

• Ethical & Customer-first Analysis

  Ensure commercial recommendations balance revenue goals with clinical safety, regulatory constraints and long-term customer outcomes. Avoid optimisation that adversely affects customer trust or wellbeing.

What We're Looking For

Essential

• Proven hands-on experience in ecommerce analytics, commercial insights or optimisation for consumer-facing subscription or repeat-purchase businesses.

• Strong SQL skills with the ability to interrogate event-level data, build cohort/funnel analyses and deliver reproducible results.

• Experience designing and analysing A/B and multivariate experiments with clear understanding of statistical power, false positives and ramp strategies.

• Comfortable with product and funnel thinking: able to translate data into prioritised product and experiment roadmaps that move revenue per visitor and conversion.

• Excellent written and verbal communication skills with experience presenting complex analysis to commercial and senior stakeholders.

• Strong problem-solving mindset, attention to detail and a commitment to high-quality, reproducible analysis.

Highly Valuable

• Familiarity with analytics and experimentation tools such as Amplitude, GA4, Looker/LookML, Optimizely, VWO or equivalent.

• Exposure to data engineering practices, event schema design and upstream instrumentation to improve analytic quality.

• Commercial numeracy with experience linking insights to unit economics, contribution margin and LTV planning.

• Previous experience working closely with product, clinical or customer operations teams to balance commercial and safety considerations.

We are an equal opportunities recruiter and welcome applications from all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, or any other characteristic. Due to the volume of applications we receive, we are unable to respond to every candidate individually. If you have not heard from us within two weeks of applying, please assume that your application has not been successful on this occasion.