7 of 7 Translating Business Requirements Jobs in Norwich

Managing full life cycle implementations of S/4 HANA in the area of SAP Finance and/or Controlling Evaluation of business requirements, identification of relevant SAP capabilities and best practices Planning, preparation and execution of Fit-Gap/Fit-to-Standard Workshops Solution Design … work experience in the area of SAP FI/CO/FSCM; Profound Finance and Controlling process experience combined with the ability to translate business requirements into system design specifications S/4HANA project experience and/or certification Preferably experienced in international template rollout projects ...

Data Consultant to help implement, configure, support, and maintain complex data pipelines that make a real impact in healthcare. What You'll Be Doing Translating business requirements into clear technical specifications Ensuring the data warehouse aligns with stakeholder needs Creating, enhancing, and documenting data specifications ...

/Principal) – EPM (Enterprise Performance Management), OneStream, Implementation, Consultant, Senior Consultant, Principal Consultant, Corporate Performance Management, CPM, Finance Transformation, Financial Systems, OneStream XF, Business Rules, Integration, Metadata, Workflow, Security, UAT, Troubleshooting, Consolidation, Financial Close, Planning, Budgeting, Forecasting, ESG, Reporting, Lease Accounting, FP&A, Scenario Modelling, Stakeholder Engagement, Solution … lifecycle OneStream implementations, from design through to go-live and optimisation. Build and maintain business rules, calculations, and integrations into OneStream. Translate business requirements into robust, scalable technical solutions. Deliver best-practice configuration, workflow design, metadata management, and security setup. Support UAT, cutover ...

automation. Support integration projects using APIs to connect Salesforce with other systems. Assist with data management and reporting processes, including Power BI. Translate business requirements into technical solutions and collaborate with stakeholders. Skills & Experience Essential: Proven Salesforce administration experience with some development capability. Strong understanding … workflows, process automation, and API integrations. Ability to interpret business needs into technical solutions. Excellent communication and stakeholder engagement skills. Desirable: Experience with SQL and Python for data management and reporting. Knowledge of financial systems and document management tools. Familiarity with integration challenges across multiple platforms. ...

automation. Support integration projects using APIs to connect Salesforce with other systems. Assist with data management and reporting processes, including Power BI. Translate business requirements into technical solutions and collaborate with stakeholders. Skills & Experience Essential: Proven Salesforce administration experience with some development capability. Strong understanding … workflows, process automation, and API integrations. Ability to interpret business needs into technical solutions. Excellent communication and stakeholder engagement skills. Desirable: Experience with SQL and Python for data management and reporting. Knowledge of financial systems and document management tools. Familiarity with integration challenges across multiple platforms. ...

role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...