14 часов назад
Senior Business Analyst (AI/LLM)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Business Analyst (AI/LLM): Building core datasets, semantic layers, reporting automation, and analytical planning tools for supply-chain forecasting and production decisions with an accent on scenario modelling, forecast accuracy, and self-service insights. Focus on automating recurring analysis, investigating root causes of forecast error, and applying AI/LLM approaches to planning optimisation.
Location: Warrington, United Kingdom; hybrid, with 1 or 2 office days each week
Company
is a UK recipe box company changing how people shop, cook, and eat food at home.
What you will do
- Own and evolve core datasets, data models, and the Semantic Layer using dbt and Databricks.
- Automate recurring reporting and performance analysis, including MAPE/WMAPE deep dives, Forecast Forum packs, and monthly reporting.
- Build analytical models and tools for scenario planning, S&OP, production scheduling, and planning optimisation.
- Lead root-cause investigations into forecast inaccuracies, quantify financial impact, and recommend corrective actions.
- Run cross-functional Forecast Forum sessions and coordinate actions across D&SP, Data Science, Material Planning, and Menu Planning.
- Partner with Data Science and engineering teams on forecast improvements, ad-hoc planning tools, and AI/LLM-enabled analysis.
Requirements
- Strong SQL skills and experience with cloud data platforms such as Databricks or dbt.
- Experience designing or working with Semantic Layers and data models.
- Basic knowledge of Python or Apps Script for automation and analytical tools.
- Strong quantitative reasoning, including forecast error metrics, scenario modelling, and cost-benefit analysis.
- Knowledge of AI and LLM concepts and their application to reporting and analysis.
- Experience translating business needs into technical requirements and communicating findings to senior stakeholders.
Nice to have
- Supply chain, forecasting, or production-planning domain knowledge.
Culture & Benefits
- Inclusive environment focused on diversity, equality, and personal authenticity.
- Flexible hybrid working that combines office collaboration with remote work.
- Support is available for candidates requiring additional flexibility or adjustments during the interview process.
- Company benefits are available through 's benefits programme.
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