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- Tasks: As an SAP Developer, you'll design data models and lead analytics projects.
- Company: Join a dynamic team in Birmingham focused on innovative data solutions.
- Benefits: Enjoy a competitive salary of £80,000 and flexible work arrangements.
- Why this job: Make an impact by enhancing data systems and collaborating with stakeholders.
- Qualifications: Must have SAP Analytics certification and experience in data integration.
- Other info: Work on-site 3 days a week and support critical business operations.
The predicted salary is between 48000 - 56000 £ per year.
Job Title: SAP Developer
Job Type: Permanent
Location: Birmingham (3 days a week on site)
Salary: £80,000
Key Skills: SAP BW, Data Governance, SAP Analytics, Dataflows, SAC, & DWC.
This position will be responsible for delivering technology capability to the business, ensuring that employees have access to systems that they need to perform their duties.
Key Responsibilities
Stakeholder Engagement: Engage and collaborate with business stakeholders at all levels to design and maintain conceptual, logical, and physical data models for analytical data needs.
Metadata Management: Produce and manage metadata (such as relationships and calculation logic) and ensure thorough documentation using data modelling tools.
Project Management: Lead data analysis projects by gathering business requirements from users, converting them into functional specifications, and coordinating with third-party contractors to define scope, benefits, and delivery across various systems.
System Integration: Support data and analytics initiatives by integrating SAP Datasphere with SAP BW and BW Bridge developments.
Data Architecture: Apply best practice architecture and design principles to develop robust analytical data models.
Documentation and Support: Review and update operational documentation when needed and provide production support during critical periods like month-end, quarter-end, and year-end.
Master Data Consistency: Ensure master data remains consistent across related systems and work on improving existing interfaces to resolve data issues in SAP ECC, BW, BPC, and downstream systems.
Required Skills & Experience
- Certification or equivalent experience with SAP Analytics tools (e.g., SAP Application Associate for SAP Analytics Cloud (SAC), Data Warehouse Cloud (DWC)).
- Recent experience in a similar data-related role.
- Significant experience diagnosing and resolving data integration issues.
- In-depth knowledge of SAP BW, ECC, S/4, SAC, and their data structures.
- Expertise in S/4HANA Analytics, including CDS Views Development, SAP HANA Cloud or HANA 2.0, and SAP BW/4HANA.
- Proficiency in designing and developing analytical models using Graphical/SQL Views.
- Strong ability to design and implement complex data flows.
- Experience working on mixed modelling with both BW and native HANA modelling.
- Familiarity with integrating SAP and non-SAP data sources
- Strong understanding of data governance principles and best practices.
Job Title: SAP Developer
Job Type: Permanent
Location: Birmingham (3 days a week on site)
Salary: £80,000
Key Skills: SAP BW, Data Governance, SAP Analytics, Dataflows, SAC, & DWC.
SAP Developer employer: RedRock Resourcing
Contact Detail:
RedRock Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Developer
✨Tip Number 1
Familiarize yourself with the latest SAP Analytics tools and certifications, especially SAC and DWC. This knowledge will not only boost your confidence but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Engage with online communities or forums focused on SAP BW and data governance. Networking with professionals in these spaces can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully integrated SAP Datasphere with other systems. Highlighting your hands-on experience will set you apart during interviews.
✨Tip Number 4
Research StudySmarter's current projects and initiatives related to data analytics. Tailoring your conversations around how your skills can contribute to our goals will show your genuine interest in joining our team.
We think you need these skills to ace SAP Developer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your experience with SAP BW, Data Governance, and SAP Analytics in your CV and cover letter. Use specific examples to demonstrate your expertise in these areas.
Showcase Project Management Experience: Detail any previous project management roles you've held, especially those involving data analysis projects. Highlight your ability to gather business requirements and coordinate with stakeholders.
Demonstrate Technical Proficiency: Include specific certifications or experiences related to SAP Analytics tools, such as SAC and DWC. Mention any hands-on experience you have with S/4HANA Analytics and data integration.
Tailor Your Application: Customize your application materials to align with the job description. Use keywords from the job listing to ensure your application stands out and shows that you understand the role's requirements.
How to prepare for a job interview at RedRock Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SAP BW, SAC, and DWC in detail. Highlight specific projects where you successfully implemented data models or resolved integration issues, as this will demonstrate your hands-on expertise.
✨Engage with Stakeholders
Since stakeholder engagement is crucial for this role, think of examples where you've collaborated with business stakeholders. Be ready to explain how you gathered requirements and translated them into functional specifications.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss challenges you've faced in data integration or governance. Explain your approach to diagnosing and resolving these issues, showcasing your analytical thinking and technical skills.
✨Understand Data Architecture Principles
Familiarize yourself with best practices in data architecture and design principles. Be ready to discuss how you've applied these principles in past projects to develop robust analytical data models.
