Senior Data Analyst

Data Analyst 3-Month Contract – Inside IR35 – up to £72.66 per hour – 37.5 hours per week Remote working Industrial Engineering sector Job Description Senior Data Analyst Reporting to the Principal Data Analyst, the Senior Data Analyst is a senior role in the Data, AI and Advanced Analytics Team. Responsibilities As a Senior Data Analyst, your responsibility is understanding the vision of the business and translating that vision into understandable requirements for the data engineers. You are going to interact with business users and subject matter experts, project management, technical development, quality assurance and end users. As a Senior Data Analyst Data, AI and Advanced Analytics, you will: • Conduct in-depth data analysis to uncover trends, patterns and actionable insights. • Assist in forecasting and predictive modelling to support strategic planning. • Translate business questions into analytical frameworks and data queries. • Understand and document complex business processes in an environment having many Enterprise Applications used by various sectors. • Exceptional cross-team collaboration and communicator. Partner with key stakeholders in the organisation to drive the role clarity and effective cross-team collaboration. Qualifications • Strong understanding of the Business Intelligence concepts like data warehouse, data platform, reports, dashboards required. • Strong understanding and working knowledge of the Microsoft Azure artifacts related to Data & AI like Azure Synapse, Azure SQL Server, Azure Analysis Services, Power BI, Azure Data Lake. • Experience with a variety of relational database servers is preferred – Oracle, SQL Server required. • Proven ability to capture the customer’s requirements and mapping them to existing enterprise systems needs to technical solutions required. • Significant experience in data conversions and master data management experience defining, testing, and troubleshooting JD Edwards. • EnterpriseOne/Oracle EBS to 3rd party system data interfaces required. • Empathy, curiosity, and desire to constantly improve, acquire new skills and drive for results required. • Demonstrated competency in project planning and delivery required. Education Bachelor’s degree in computer science, computer engineering, finance, equivalent education, and experience may be substituted for a degree. A significant number of years of experience in a JD Edwards EnterpriseOne ERP or Oracle EBS environment with significant hands-on business experience working and supporting in finance, capital asset management or procurement modules required. Experiences Prior work experience in capturing business requirements for complex data platform/Business Intelligence solutions required. Active involvement in the delivery of BI related solutions to real world application required.