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For Companies At a Glance
- Tasks: Lead the design and development of analytics products, focusing on Oracle Analytics Cloud.
- Company: Join a forward-thinking company that values data-driven decision-making and innovation.
- Benefits: Enjoy a permanent role with opportunities for mentorship and professional growth.
- Why this job: Be at the forefront of AI and analytics, shaping the future of data in the organisation.
- Qualifications: 5+ years in analytics roles, with experience in Oracle Analytics Cloud and stakeholder engagement.
- Other info: Ideal for those passionate about data governance and user-focused design.
The predicted salary is between 43200 - 72000 £ per year.
Key Responsibilities
- Lead the design, development and continual improvement of the clients analytics products, with a focus on Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence.
- Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and Commercial teams.
- Manage and mentor a small team of reporting SMEs and analysts, fostering a culture of evidence-based delivery and user-focused design.
- Engage with stakeholders to understand their analytical needs, translating these into dashboards, reports, and automated solutions.
- Champion a culture of data governance, literacy, and evidence-based decision-making across the organisation.
- Analyse user feedback and data to uncover pain points, improve decision-making tools, and maximise the value of our data assets.
- Design and optimise cloud-based integrations to connect data across systems and services.
- Support operational change including test planning, user training, and change impact assessments.
- Present technical and strategic proposals to the Head of Product, outlining value, feasibility and cost-benefit cases.
- Drive data literacy across teams and develop reusable frameworks and patterns for analytics delivery.
Experience
- 5+ years in analytics, business intelligence, or data product roles, ideally within large or complex environments.
- Proven experience in implementing and delivering business solutions using Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence.
- Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding of functional areas such as HR, Commercial, Finance and Logistics.
- Practical experience with ETL, data modelling, and dashboard/reporting development.
- Experience in leading product teams or data-focused project teams, with stakeholder engagement at all levels.
- Working knowledge of integration technologies and data pipelines (eg Oracle Integration Cloud, APIs).
- Public sector or shared services experience (desirable).
Analytics & AI Lead - Oracle Application Cloud - OAC - Permanent employer: Nexere Consulting Limited
Contact Detail:
Nexere Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & AI Lead - Oracle Application Cloud - OAC - Permanent
✨Tip Number 1
Familiarise yourself with Oracle Analytics Cloud (OAC) and its features. Understanding the platform inside out will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals who are currently working in analytics or data product roles, especially those using OAC. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience in leading teams and managing projects. Be ready to share specific examples of how you've fostered a culture of evidence-based delivery and user-focused design in your previous roles.
✨Tip Number 4
Stay updated on the latest trends in analytics, AI, and machine learning. Being knowledgeable about current developments will allow you to speak confidently about how these can be applied within the organisation during your discussions.
We think you need these skills to ace Analytics & AI Lead - Oracle Application Cloud - OAC - Permanent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, business intelligence, and specifically with Oracle Analytics Cloud. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about analytics and AI. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as leading product teams or engaging with stakeholders.
Showcase Your Technical Skills: Clearly outline your technical skills related to ETL, data modelling, and dashboard/reporting development. Provide examples of how you've used these skills in previous roles, especially in relation to Oracle products.
Highlight Leadership Experience: Since the role involves managing and mentoring a team, emphasise any leadership experience you have. Discuss how you've fostered a culture of evidence-based delivery and user-focused design in past positions.
How to prepare for a job interview at Nexere Consulting Limited
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Oracle Analytics Cloud and any relevant data product roles. Be prepared to discuss specific projects where you've implemented analytics solutions, as this will demonstrate your capability to lead in this area.
✨Understand the Business Context
Familiarise yourself with the functional areas mentioned in the job description, such as HR, Finance, and Logistics. This knowledge will help you engage effectively with stakeholders and show that you can translate their analytical needs into actionable insights.
✨Demonstrate Leadership Skills
Since the role involves managing a team, be ready to share examples of how you've mentored others or led project teams. Discuss your approach to fostering a culture of evidence-based delivery and how you encourage collaboration among team members.
✨Prepare for Stakeholder Engagement Scenarios
Think of examples where you've successfully engaged with stakeholders to understand their needs. Be ready to discuss how you translated feedback into practical solutions, as this will showcase your ability to drive data literacy and governance across the organisation.
