Senior SAP Data Analytics Specialist
2 weeks ago
Job Description:
We are seeking a highly skilled SAP Data Analytics Specialist to join our EngineeringUK team as a Lead to Cash Data & Analytics Expert. This is an excellent opportunity to work on a major process simplification and harmonization scope as we digitally transform our business.
The successful candidate will be responsible for taking ownership of Lead to Cash data and analytics for Pet Nutrition as part of the ERP Digital Transformation. This will involve data collection and cleaning, data analysis, and data visualisation to identify patterns, trends, and correlations to extract meaningful insights. The role will also involve presenting analysis findings to stakeholders clearly and concisely using visualisations, dashboards and reports.
The ideal candidate will have extensive experience working with data, data models, and data systems related to Lead to Cash, and will have a strong analytical skillset with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Additionally, the successful candidate will have technical expertise regarding data models, database design development, data mining and segmentation techniques, and will be able to design solutions that subscribe to robust and agile technical frameworks and standards.
The role offers a competitive salary and benefits package, including company bonus, and the opportunity to work with over 140,000 diverse and talented Associates, all guided by the Five Principles of EngineeringUK. The successful candidate will also have access to best-in-class learning and development support from day one, including access to our in-house EngineeringUK University. The role is anticipated to last for 5 years, with the opportunity for development and growth throughout the duration of the project.
Key Responsibilities:
- Take ownership of Lead to Cash data and analytics for Pet Nutrition as part of the ERP Digital Transformation.
- Collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Present analysis findings to stakeholders clearly and concisely using visualisations, dashboards and reports.
- Develop models and algorithms to predict future trends, behaviour, or outcomes based on historical data.
- Ensure data accuracy, consistency, and integrity throughout the analysis process.
- Stay updated with industry trends, emerging technologies, and new analytical techniques.
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