SAP Data Scientist

SystemsAccountants
Greater London
1 week ago
Create job alert

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 – particularlySAP Analytics CloudandSAP 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

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Principal Statistician - FSP

SAP Data Lead

SAP Data Migration Consultant/ Senior Consultant

SAP Data Migration Consultant/ Senior Consultant

SAP Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Careers

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

Jobs Careers

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.