Job title: Data Analyst Engagement Type: PAYE - on payroll Location: Homebased Start Date: 03.09.2025 End date: 31.12.2025 Hours per week: 37.5 hours Max Number of days: 5 days a week Charge Rate per hour: £600 days rate Is a qualification required for this role? Please see JD Eligible for Expenses? No Notice Period Atkins to Agency for termination of the Contractor Worker: 4 weeks Notice Period Agency to Atkins for termination of the Contractor Worker: 4 weeks Vetting Required: BPSS 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 modeling 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 organization to drive the role clarity and effective cross-team collaboration. Qualifications Professional Experience: 10 years of experience in Data Analysis focusing on analytics solutions delivery required. Collaboration: Ability to generate trust, build alliances, and orchestrate interdisciplinary teams to the benefit of customers required. Communication: Thought leader with executive presence, exceptional interpersonal, verbal, written and presentation skills required. Strong communication and storytelling skills with data. Technical 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