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- Tasks: Lead the design and implementation of advanced data analytics solutions using SAP tools.
- Company: Join a dynamic team in Hemel Hempstead focused on innovative data strategies.
- Benefits: Enjoy a hybrid work model with flexible remote options and a 10-month contract.
- Why this job: Make a real impact by aligning data analytics with business goals and collaborating with stakeholders.
- Qualifications: Strong technical expertise in data analytics and experience with SAP SAC, Alteryx, and Snowflake required.
- Other info: Opportunity to develop dashboards and provide training to business users.
The predicted salary is between 48000 - 72000 £ per year.
Role Title: SAP Cloud Analytics Lead
Work Mode: Hybrid with 3 days a week.
Contract duration: 10 months
Location: Office location is Hemel Hempstead
Job Description:
Position Summary: The Data Analytics Lead/Architect will be responsible for leading the design, development, and implementation of advanced data analytics solutions. This role requires a strong blend of technical expertise and functional knowledge, ensuring that data analytics strategies align with business goals. The individual will work with tools such as SAP SAC, Alteryx, XU, System Scheduler, and Snowflake.
Technical Responsibilities:
- Design and implement data models, ETL processes, and analytics solutions using SAP SAC, Alteryx, XU, System Scheduler, and Snowflake.
- Ensure data integrity, accuracy, and consistency across systems.
- Develop and maintain dashboards, stories, reports, and analytics tools to provide actionable insights.
- Good understanding of Macro and micro architecture, solutions and tools.
- Develop and maintain data pipelines and workflows within SAC.
- Utilize scripting and APIs to extend the functionality of SAC.
Functional Expertise:
- Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
- Act as a liaison between technical teams and business users to ensure the successful deployment of analytics solutions.
- Provide functional support and training to business users on analytics tools and best practices.
- Ability to challenge stakeholder requirements to ensure real value is being requested / delivered.
- Ability to identify and close gaps in solutions, skills and training in self and others.
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SAP Cloud Analytics Lead employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Cloud Analytics Lead
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as SAP SAC, Alteryx, and Snowflake. Having hands-on experience or relevant projects to discuss can set you apart during the interview.
✨Tip Number 2
Understand the business context of data analytics. Be prepared to discuss how your technical skills can align with business goals and provide actionable insights that drive decision-making.
✨Tip Number 3
Showcase your ability to communicate effectively with both technical teams and business stakeholders. Highlight any past experiences where you successfully bridged the gap between these groups.
✨Tip Number 4
Prepare examples of how you've identified gaps in solutions or training needs in previous roles. This demonstrates your proactive approach and ability to deliver real value to the organization.
We think you need these skills to ace SAP Cloud Analytics Lead
How to prepare for a job interview at N Consulting Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SAP SAC, Alteryx, XU, System Scheduler, and Snowflake. Highlight specific projects where you designed and implemented data models or analytics solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Understand Business Needs
Demonstrate your ability to collaborate with business stakeholders by sharing examples of how you've translated their needs into technical requirements. This shows that you can bridge the gap between technical teams and business users effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about situations where you had to challenge stakeholder requirements or identify gaps in solutions, and be ready to discuss how you approached these challenges.
✨Emphasize Continuous Learning
Highlight your commitment to staying updated with the latest trends and tools in data analytics. Discuss any recent training or certifications you've pursued, especially those related to the technologies mentioned in the job description.
