4 of 4 Translating Business Requirements Jobs in Nottinghamshire

impact of our work. This role sits within the Data & Integration team and is fundamental in enabling evidence-informed business decisions, translating business requirements into scalable data solutions, and positioning Greencore as a trusted and data-driven organisation within the food manufacturing sector. … , and functional specifications Experience working with data integration concepts, APIs, or data pipelines (e.g. ETL/ELT processes) Proven ability to translate business problems into data and analytical solutions Knowledge of Microsoft technologies, including SQL Server, Azure (Data Factory), and Power BI Understanding of data models ...

marts). Define and maintain consistent metrics, dimensions, and business logic. Implement testing, data quality checks, and SLAs to ensure reliability. Translate business requirements into scalable, well-structured data solutions. Deliver self-service datasets and support reporting/dashboards where needed. Continuously improve analytics … ideally BigQuery. Familiarity with orchestration tools such as Airflow. Experience designing BI-friendly datasets, particularly for Power BI. Strong communication skills, able to translate business needs into data models. Experience with enterprise systems such as SAP BW/HANA. A track record of building reusable datasets or maintaining ...

will ensure responsible AI practices, model governance, and compliance, while collaborating with product managers, data engineers, analysts, and business stakeholders to translate requirements into robust AI solutions. Main responsibilities Design, develop, and deploy AI and machine learning models to solve business problems and deliver … Embed responsible AI practices, governance, and compliance in all solutions; follow GxP and validation standards where required. Collaborate with cross-functional teams to translate business requirements into technical solutions. Produce clear documentation for models, pipelines, deployment steps, and operational expectations. Communicate complex technical concepts in clear ...

Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain ...