OneVentures Portfolio Company Jobs

The analyst acts as the bridge between business stakeholders and technology teams, turning complex business challenges into well‑defined, efficient, and sustainable digital solutions. You will review existing processes and systems, uncover improvement opportunities, shape detailed functional specifications, and guide delivery teams through the full project life‑cycle.

Key Accountabilities:

Requirements & Process Analysis

• Engage end‑users and executives to capture, validate, and prioritise business and system requirements.
• Map current processes, workflows, data flows, and pain‑points to build a clear “as‑is” picture.
• Quantify inefficiencies and recommend changes that maximise value and minimise risk.

Solution Design & Documentation

• Translate business needs into functional and non‑functional specifications for developers, data engineers, and UX/UI teams.
• Produce data models, process models, wireframes, and user‑story backlogs.
• Act as the single source of truth for requirements throughout the delivery cycle.

Project Planning & Delivery Support

• Apply recognised project‑management frameworks (Agile, Scrum, Prince2, or PMBOK) to develop estimates, resource plans, and schedules.
• Coordinate sprints, backlog grooming, UAT cycles, and release management activities.
• Monitor quality through system test plans, defect triage, and acceptance criteria.

Change & Training

• Prepare user manuals, knowledge‑base articles, and quick‑reference guides.
• Deliver classroom or virtual training to ensure smooth adoption and ongoing system integrity.

Continuous Improvement & Governance

• Benchmark solution performance and recommend iterative enhancements.
• Provide authoritative advice on standards, policies, and emerging technologies.

Essential Qualifications & Experience

• Bachelor’s degree (or higher) in Information Systems, Computer Science, Engineering, or a related discipline.
• Five‑plus years of professional experience in business or systems analysis.
• Demonstrated success delivering end‑to‑end ICT projects—spanning requirements capture, solution design, build, test, deployment, and hand‑over.
• Proven competence in data and process‑modelling techniques (e.g., BPMN, UML, ERD), coupled with strong SQL/reporting skills.
• Working knowledge of modern software‑delivery practices: DevOps pipelines, cloud platforms, RESTful APIs, micro‑services, and containerisation.

Desirable Skills

• UX research or interface design exposure (wire‑framing, usability testing, accessibility).
• Experience with enterprise commerce, retail‑media, or AI‑driven personalisation platforms.
• Familiarity with change‑management frameworks (ADKAR, Prosci) and training‑design methodologies.
• Ability to influence senior stakeholders and communicate technical concepts to non‑technical audiences.

About Particular Audience

Leading retailers maximize “profit-per-pixel” with Particular Audience, through a single composite KPI—net profit per session—combining higher basket AOV, ad yield, conversion and reduced markdown leakage.

Particular Audience is an AI-native retail media and personalization company founded in 2017 by CEO James Taylor. The platform (DiscoveryOS) tackles the 'endless aisle' challenge by creating a unique storefront for every shopper—matching each visitor with the products they’re most likely to buy, at the moment they’re most likely to buy them.

Using multimodal machine-learning (behavior + vision + language) and sentence-transformer search, Particular Audience powers hyper-personalised search results, product recommendations, rich media and fully automated sponsored-product placements that outperform keyword-based systems by at least 4×. Retailers such as Target, The Good Guys and Hotel Chocolat use Particular Audience to boost conversion, increase ad revenue and lift shopper satisfaction without compromising user experience.

With regional headquarters in London, Sydney and Vancouver, Particular Audience supports global enterprise retailers while advancing open-source standards like the Model Context Protocol (MCP) that enable agentic commerce. The mission is simple: show every shopper exactly what they want—before they know they want it—while driving profitable growth for the merchants who serve them.

AI/ML that powers all customer interactions. If you see it, search it, click it, and buy it – that's PA.

There is only one retail media platform in the world that competes (and wins) in organic site search and personalisation, as well as in onsite retail media technology—this is the standard.