Summary
✨ AI‑Generated
Join a data-focused commerce organization as a Business Analyst and turn large datasets into actionable business insights. You will analyze growth, customer behavior, revenue, profitability, marketing, and operations; write and optimize SQL queries; investigate trends and performance gaps; evaluate campaigns and customer economics; and identify opportunities to improve targeting and investment efficiency. An interest in applying AI to analytics is valued.
Highlights
Hands-on analytical role covering growth, customer behavior, revenue, profitability, marketing, and operations, with strong emphasis on SQL and using AI to make analytics faster and more scalable.
Description
Job DescriptionStrong hands-on SQL skills are essential, along with experience analysing business and marketing performance and an interest in using AI to make analytics faster, more scalable, and more impactful.
Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.Independently write and optimise SQL queries to extract and analyse large datasets.Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.Analyse customer behaviour across acquisition, activation, retention, churn, frequency, cohorts, segmentation, and customer value.Analyse marketing and campaign performance across relevant channels, connecting marketing activity to customer acquisition, engagement, conversion, retention, and revenue.Evaluate marketing efficiency metrics such as CAC/CARC, ROAS, conversion, campaign uplift, and customer quality, and recommend opportunities to improve targeting and budget allocation.Support customer segmentation and targeting strategies using behavioural, lifecycle, frequency, and value-based cohorts.Conduct pre/post, cohort, benchmark, and incrementality-style analyses to evaluate campaigns, promotions, and business initiatives.Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.Build dashboards and recurring reports using BI and visualisation tools, with clear visibility across business and marketing KPIs.Partner with Marketing, Product, Commercial, Operations, and other cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.Translate complex analysis into clear insights and actions for business stakeholders.Ensure accuracy, consistency, and reliability of analytical outputs and underlying measurement logic.AI in Analytics
The candidate should actively use AI as part of the analytics workflow, including:
Accelerating SQL development, debugging, and analysis.Structuring analytical approaches and generating hypotheses.Automating repetitive reporting and analytical tasks.Supporting faster campaign, customer, and marketing performance analysis.Improving insight generation, documentation, and stakeholder communication.Building reusable analytical workflows or AI-assisted processes that improve team productivity and scalability.
