Business Analyst Tech & Data - Assortments Lifecycle

Job Description

As Business Analyst Tech & Data - Assortments Lifecycle, you will join the Assortments & Suppliers area and focus specifically on the Assortment lifecycle: the process that determines which products are sold in which stores, countries, regions and channels. This is a highly business-critical domain, as it connects innovation decisions to regulatory requirements, commercial choices, and store-level execution. Today, parts of this process still rely on fragmented system logic, manual work, and different ways of working across business lines.

This leads to data quality issues returning into missed sales opportunities, and inefficiencies across the organisation. Time to tackle this head on!

You will bring more structure, ownership, and automation to the end-to-end assortment process, working closely with stakeholders across Innovation, Quality & Regulatory, Retail, Wholesale, B2B partners and Tech & Data to analyse the current setup, define future-proof solutions and support its implementation.

You will join at an exciting stage: the initial analysis phase has been completed, and we are now moving into implementation. This means you will step into a role with end-to-end and hands-on ownership, where your work will directly shape how we improve assortment decisions across Rituals.

In this role, you will:

* Analyse the end-to-end assortment processes across country, region, channel and store-level assortment decisions, identify pain points, process gaps, unclear ownership and opportunities for improvement.

* Translate business needs into clear process flows, requirements and solution directions, using visual tools such as Miro, Lucid and preferably BPMN.

* Lead workshops with business stakeholders to define logic, decision-making criteria and future-state ways of working, for example around distribution rules and assortment allocation.

* Work closely with fellow business analysts, a domain architect, and a program manager within Tech & Data, business experts and external software partners to support the implementation of improved processes, data models and tooling.

* Lead and support testing activities, including user acceptance testing, validation of data flows and issue management, to ensure solutions work in practice and are adopted successfully.

* Drive strong collaboration across adjacent programs, especially Store lifecycle and Product-related domains, to reuse existing knowledge and avoid reinventing what is already in place.