lendable - Junior Analyst

• Drive pricing & promotions optimisation: • Support the development and optimisation of pricing and promotional strategies across our channels and products through data-driven analysis, balancing customer engagement, growth, price elasticity and profitability, while continuously refining approaches based on product performance and scenario modelling • Analyse performance at channel, product and customer segment level to identify opportunities to improve pricing, product and conversion efficiency • Build insight into conversion funnel performance and highlight where cost or conversion can be improved • Stay abreast of industry trends and market activity to ensure our products remain competitive and fit for purpose • Pricing experimentation & impact assessment: • Design, set up and run pricing tests and product A/B and multivariate experiments, working with Product, Data Science and Engineering to ensure they are implemented correctly • Track experiment performance against pre-agreed success metrics and guardrails, and deliver clear readouts with recommendations on whether to roll out, iterate or stop • Measure the realised impact of commercial initiatives after launch, and compare outcomes against the original business case • Build and maintain monitoring of key commercial metrics so the team can track the impact of changes over time • Build a growing evidence base on price elasticity from these tests to inform future pricing decisions • Validate that implemented pricing and strategy changes are working as intended once deployed in production, flagging and investigating any unexpected behaviour. • Evaluate expansion opportunities: • Support the evaluation of new product, channel and segment opportunities by extracting and analysing data and contributing to commercial models • Help maintain assessment frameworks and tooling so that evaluations are consistent and repeatable • Collaboration & communication: • Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. • Present analysis and recommendations clearly and concisely, backed by data, to the team and wider stakeholders. • Document analyses, queries and experiment results so they are reusable by the wider team.