Data Scientist (Contractor)

**This role sits inside IR35**

As a Data Scientist, you will collaborate with key stakeholders to create impactful reports and dashboards to enable key business intelligence decisions.

Key Purpose of Job

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

PERSON SPECIFICATION (essential requirements)

Qualifications

• Degree in Computing subject or equivalent

• Certification in Data Warehousing and related technologies is a plus
• Must be able to attain and hold National Security Vetting to a minimum SC level

Experience

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.

Knowledge & Skills

Communication

Ability to communicate complex data insights to non-technical stakeholders and collaborate with cross-functional teams.

Project Management

The ideal candidate should have a solid understanding of project management principles, including the ability to plan, execute, and oversee data science & BI projects effectively.

Continuous Learning

Stay up to date with the latest trends and best practices in Data Warehouse development and business intelligence to enhance technical skills and contribute to ongoing process improvement.

Programming Languages

Strong working knowledge of SQL and DAX. An ideal candidate will also be familiar with VBA, PowerShell, and Python.

Data Analysis & Modelling

Strong understanding & proficiency in data modelling, statistical analysis, and predictive modelling using tools such as SSAS, Power BI, SAP Analytic Cloud, and SAP DataSphere.

Data Privacy & Protection

An understanding of data privacy laws and regulations such as GDPR is essential. As well as knowledge of data protection principles and practices to ensure compliance.

IT Security Standards

Knowledge of industry-standard security protocols and frameworks, such as ISO 27001. Experience in implementing and maintaining security measures to protect data integrity and confidentiality.

Regulatory Reporting

Proficiency in generating regulatory reports and documentation as required by relevant authorities. Understanding of reporting timelines and formats.

Monitoring Tools

The ideal candidate would have experience in using monitoring tools such as SPLUNK, Datadog, or New Relic to analyse and troubleshoot system performance and / or logs.

Business Intelligence

Understanding of business intelligence concepts and the ability to translate business needs into data-driven insights.