Top Tech Jobs & Startup Jobs

Own Produce category insights by analysing shopper, market, retailer, and food trend data. Translate findings into commercial presentations, range recommendations, and growth opportunities. Support customer reviews, NPD and EPD tracking, three-year revenue and profitability plans, and cross-functional supply chain innovation. Build relationships with customers, buyers, procurement, operations, and senior leaders while identifying market gaps and recommending actionable solutions.

Supports category insight, consumer research, market analysis, reporting, category reviews, trade marketing proposals, and long-term growth plans for manufacturing and retail customers. The role uses grocery market data to identify trends, develop actionable recommendations, support NPD and EPD, influence stakeholders, conduct weekly store visits, and build relationships across manufacturing, retail, and commercial teams.

Manage a large logistics operation, leading the site leadership team to deliver high service, availability, productivity, cost, and performance standards. The role requires building a positive people-focused culture, driving continuous improvement, managing stakeholders, applying commercial and analytical thinking, and ensuring compliance with relevant legislation and industry requirements.

Supports daily HR operations, including employee queries, payroll administration, recordkeeping, audits, recruitment, policy compliance, employee relations, communications, union relationships, and colleague engagement. The role advises managers on foundational HR matters and maintains accurate HR processes and reporting.

Build and maintain reliable analytical data models, transformations, semantic layers, metadata repositories, and data quality tests on Google Cloud. Translate business and operational requirements into structured datasets, document data definitions and lineage, optimize cloud processing costs, and collaborate with analysts, engineers, and non-technical stakeholders. The role also promotes data literacy, mentors trainee practitioners, and supports consistent reporting across retail and supply chain domains.

Develops and productionises machine learning models using complex structured and unstructured data in Google Cloud. Responsibilities include forecasting, customer segmentation, recommendation engines, feature engineering, causal inference, experimentation, data pipelines, validation, and statistical storytelling. The role partners with stakeholders, mentors colleagues, supports data literacy, ensures privacy and ethical AI compliance, and delivers commercially valuable insights that improve sales, reduce waste, and increase operational efficiency.