Data Scientist
Data Scientist required for my client based in Guildford for a 12-month contract.
This is a hybrid role.
You will be responsible for:
• Collaborating with key stakeholders to create impactful reports and dashboards to enable key business intelligence decisions.
• Work closely with the database administrator to ensure data is clean and available. Allow meaningful reports to be made available efficiently.
• Ensure single source of truth behind all data decisions.
Key Tasks:
• Data Warehousing: Collaborate with senior developers to design, develop, and maintain reports, dashboards, and visualizations that effectively communicate complex data insights
• Data Analysis: Work closely with business stakeholders to understand their reporting requirements and translate them into effective data models and visualizations
• Data Integration: Assist in integrating data from various sources into DW using appropriate Extract, Transfer and Load (ETL) processes, ensuring data quality and integrity
• Transfer current Data Warehouse reports into SAP Analytics Cloud (SAC)
• Report Optimization: Optimize existing reports and dashboards for improved performance, usability, and user experience
• Testing and Troubleshooting: Conduct thorough testing of reporting solutions (SAC) to identify and resolve any issues or bugs, ensuring accuracy and reliability of the data
• Documentation: Document data models, report specifications, and development processes to ensure clear communication and knowledge sharing within the team
• Collaboration: Collaborate with cross-functional teams, including business analysts, data engineers, and stakeholders, to gather requirements and ensure successful project outcome
• Continuous Learning: Stay up to date with the latest trends and best practices in DW development and business intelligence to enhance technical skills and contribute to ongoing process improvement
Experience Required:
Data Analysis, Modelling, & Management
The ideal candidate should have prior experience in developing analytical data models and ETL (Extract, Transform, Load) processes.
They should be adept at designing, implementing, and optimizing data models to drive insightful analytics and support decision-making.
Additionally, they should be skilled in building and managing ETL workflows to ensure the efficient and accurate movement of data across systems.
SAP Data Tools
The ideal candidate should have prior experience using SAP Analytics Cloud and SAP DataSphere. They should be proficient in leveraging these tools to develop, manage, and optimize data models, analytics, and reporting solutions. Their expertise should include integrating data from various sources, performing advanced data analysis, and generating actionable insights to support business decision-making.
Stakeholder & Priority Management
The ideal candidate should have prior experience in managing priorities and stakeholders. They should be skilled in balancing multiple tasks and projects simultaneously, ensuring that critical deadlines are met.
Protected Data
The ideal candidate should have prior experience working with protected and sensitive data, such as ITAR (International Traffic in Arms Regulations) data. They should be knowledgeable about the handling, storage, and transfer of sensitive information, ensuring compliance with relevant regulations and security protocols.
Industry Experience
The ideal candidate should have prior experience working with MRP (Material Requirements Planning) and/or ERP (Enterprise Resource Planning) generated data. They should be adept at analysing and interpreting complex datasets from these systems to provide actionable insights and support decision-making processes.
