Rituals
Retail
BusinessAnalystTech&Data-AssortmentsLifecycle
Neural analysis suggests this role is
optimal for mid candidates.
“Business Analyst Tech & Data - Assortments Lifecycle at Rituals. Skills: Assortment lifecycle, Process automation, Data quality. Analyse end-to-end assortment processes. Identify pain points”
Industry & Context.
Root cause analysis; Issue management
4 days in office
What They're Looking For.
Must Have
5+ years experience Business Analyst, 5+ years experience business consultant, Experience in end-to-end process analysis, Experience in implementation support, Experience working in complex programs, Experience independently engage stakeholders, Experience structure analyses, Experience take ownership of deliverables, Skilled in documenting current processes, Skilled in documenting future-state processes, Skilled in translating processes into requirements, Skilled in facilitating workshops, Experience with testing activities, Experience with UAT, Experience with issue tracking, Experience validating process flows, Experience validating data flows, Pragmatic mindset, Structured mindset, Proactive mindset, Balance detail orientation, Flexibility in dynamic business environment
Nice to Have
Experience with BPMN
What You'll Do.
Analyse end-to-end assortment processes
Identify process gaps
Identify unclear ownership
Identify opportunities for improvement
Translate business needs into process flows
Translate business needs into requirements
Translate business needs into solution directions
Lead workshops with business stakeholders
Define decision-making criteria
Define future-state ways of working
Support implementation of improved processes
Support implementation of data models
Support implementation of tooling
Lead testing activities
Support testing activities
Drive collaboration across programs
Reuse existing knowledge
How You'll Work.
Team & Collaboration
Cross-functional programs; Adjacent programs; Business experts; External software partners; Tech & Data teams
Communication Scope
Facilitating workshops
Process & Methodology
Program management
Full 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
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