Job Description

Scalene

Partnering with retail clients globally, Scalene provides software solutions and services that maximise the performance of retail spaces. Through our unique Retail Space Intelligence capability, our platform and tools equip clients with a new level of insight, enabling informed, customer-centric decisions that drive improved business performance.

Our solutions span core retail functions including Assortment, Pricing & Promotions, and strategic Space Planning & Optimisation.

We've been globally recognised as winner of the AFR Most Innovative Company Award 2024, along with the AFR Fast 100 in 2021, and named in the World Retail Congress Discovery Report as one of the top 40 retail tech start-ups operating globally.

We support a growing number of leading retail clients across Australia, New Zealand, Asia, the UK, Europe, and the United States, through offices in Melbourne, Sydney, and London, and a business development team based in the USA.

Role Purpose

A Business Analyst is responsible for converting commercial requirements from our clients into structured analytical deliverables and actionable insights.

This role is positioned at the intersection of consulting and data science, focusing on data preparation, validation, analysis, and reporting that supports client delivery. The Business Analyst will be responsible for ensureing the accuracy, consistency, and scalability of data used within Scalene's Retail Space Intelligence platform, underpinning the success of client engagements across the UK and Europe.

This role is primarily internal facing, with a focus on data management, analytics development, and delivery support rather than client relationship ownership.

Responsibilities in this role include:

Source, cleanse, and structure large datasets from multiple systems and formats to ensure readiness for analysis or modelling. Validate and transform data for integration into Scalene's analytical tools and models. Conduct analysis to surface trends, patterns, and insights that support retail decision-making. Build and maintain dashboards, reports, and visualisations using Power BI or Excel Translate business requirements into technical specifications and structured datasets for delivery. Document business rules, data logic, and analytical outputs to ensure transparency and repeatability.

Requirements

Expereince in data analysis, business analysis, or analytics delivery, ideally within retail, FMCG, or SaaS environments. Strong analytical and numerical capability and confident working with large datasets. Proficiency in Excel and familiarity with Power BI, SQL and Python for data interrogation and reporting. Excellent attention to detail and accuracy in data handling, documentation, and output validation. Strong organisational skills and ability to manage multiple deliverables within structured processes.
Job Types: Full-time, Permanent

Pay: 40,000.00-50,000.00 per year

Benefits:

Private medical insurance Sick pay
Ability to commute/relocate:

London W2: reliably commute or plan to relocate before starting work (required)
Application question(s):

What salary are you seeking for this opportunity?
Experience:

Data analytics: 2 years (required)
Work authorisation:

United Kingdom (required)
Work Location: Hybrid remote in London W2