SAP Data Scientist

SAP Data Scientist

12-month contract

SystemsAccountants are currently working with a client implementing SAP S/4HANA Public Cloud and SAP Analytics Cloud, seeking a Data Scientist to join the team, collaborating with key stakeholders to create impactful reports and dashboards to enable key business intelligence decisions. The successful candidate will work closely with the database administrator to ensure data is clean and available, allow meaningful reports to be made available efficiently, and ensure a single source of truth behind all data decisions.

Role Responsibilities

• 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 outcomes.
• 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 improvements.

Role Requirements

• 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 in data analysis, modelling, and management.
• Prior experience in developing analytical data models and ETL (Extract, Transform, Load) processes.
• Adept at designing, implementing, and optimizing data models to drive insightful analytics and support decision-making. Skills in building and managing ETL workflows to ensure the efficient and accurate movement of data across systems.
• Experience in SAP Data Tools – particularly SAP Analytics Cloud and SAP DataSphere . Proficiency in leveraging these tools to develop, manage, and optimize data models, analytics, and reporting solutions.
• Experience in managing priorities and stakeholders, with skills in balancing multiple tasks and projects simultaneously, ensuring that critical deadlines are met.
• The ideal candidate should have prior experience working with protected and sensitive data, such as ITAR (International Traffic in Arms Regulations) data.
• Experience working with MRP (Material Requirements Planning) and/or ERP (Enterprise Resource Planning) generated data.
• Ability to communicate complex data insights to non-technical stakeholders and collaborate with cross-functional teams.
• Strong working knowledge of SQL and DAX. Familiarity with VBA, PowerShell, and Python is a plus.
• Strong understanding & proficiency in data modelling, statistical analysis, and predictive modelling.
• An understanding of data privacy laws and regulations such as GDPR is essential.
• Knowledge of industry-standard security protocols and frameworks, such as ISO 27001.
• Proficiency in generating regulatory reports and documentation as required by relevant authorities.
• The ideal candidate would have experience in using monitoring tools such as SPLUNK, Datadog, or New Relic.
• Understanding of business intelligence concepts and the ability to translate business needs into data-driven insights.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Manufacturing and Information Services

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