Product Analyst - Data Modelling and Customer Insights

What you’ll do:

Own and structure data: map, query, and organize complex datasets to ensure reliable tracking and operational analysis.

Define and track meaningful Product KPIs: implement metrics that reflect product effectiveness and customer impact.

Drive strategic decisions: run deep dives and exploratory analyses to assess product performance and inform prioritization.

Enable data self-service: create dashboards and reports that empower teams to access insights and stay outcome-focused.

Ensure data quality and clarity: collaborate across Data, BI, and Product to improve tracking, taxonomy, and communicate insights through clear, actionable recommendations.

What we’re looking for:

Analytical and product-minded: you dig into data with curiosity and rigour, always linking insights to customer and business impact.

Technically skilled: you write clean SQL, are confident working with large datasets, and have a good grasp of Python.

Visualization expert: you build clear, effective dashboards and reporting flows (we use Tableau).

Experienced and adaptable: you bring 2–4 years in data or product analytics, ideally in digital, customer-facing settings.

Proactive communicator: you take initiative, collaborate across teams, and communicate insights with clarity.

Nice-to-have:

Customer Care analytics expertise: experience with ticketing data, contact rates, resolution times, and support platforms (preferably Zendesk).

Product analytics proficiency: familiarity with tools like GA4, Amplitude, Mixpanel, or similar.

Industry background: previous experience in insurance, tech, or other regulated environments.