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For Companies At a Glance
- Tasks: Design and implement analytics solutions in Oracle Cloud Infrastructure.
- Company: Join a leading tech firm focused on data-driven decision-making.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation in analytics.
- Qualifications: 5+ years experience with Oracle OCI and analytics tools required.
- Other info: Must be a UK citizen eligible for Security Clearance.
The predicted salary is between 48000 - 72000 £ per year.
This role requires eligibility for Security Clearance, hence we can only consider UK citizens.
Required skillset summary:
- Creation of dashboards and reports
- Fusion Data Intelligence and Oracle Analytics Cloud (OAC) necessary
- Data modelling
- Semantic Model extensions
We are seeking a highly skilled Oracle OCI OBI Analytics Engineer with expertise in building, optimizing, and supporting Analytics solutions in Oracle Cloud Infrastructure (OCI). As a key member of our team, you will be responsible for designing, implementing, and maintaining robust OCI-based analytics solutions. Your extensive experience with OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI in general will be instrumental in driving the success of our analytics initiatives and enabling data-driven decision-making.
Responsibilities:
- Solution Design and Development: Collaborate with cross-functional teams to understand business requirements and design end-to-end analytics solutions in OCI. Leverage your expertise in OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI services to architect scalable, performant, and reliable analytics solutions.
- Implementation and Optimization: Build and configure OCI-based analytics solutions, ensuring alignment with best practices and industry standards. Optimize performance by fine-tuning queries, implementing caching strategies, and designing efficient data models.
- Data Integration and Transformation: Work closely with data engineering teams to define and implement data integration workflows using ODI and other relevant tools. Ensure seamless extraction, transformation, and loading of data from various sources into the analytics environment.
- Production Support: Provide ongoing support for deployed analytics solutions, including troubleshooting and resolving issues related to data accuracy, system performance, and user access. Monitor system health, proactively identify and resolve potential bottlenecks, and ensure high availability and reliability of the analytics environment.
- Security and Governance: Implement and enforce data security controls, ensuring compliance with regulatory requirements and industry standards. Develop and maintain data governance frameworks and policies to ensure data quality, integrity, and privacy within the analytics ecosystem.
- Collaboration and Knowledge Sharing: Collaborate effectively with stakeholders, including business users, data analysts, and IT teams, to understand requirements, gather feedback, and deliver high-quality solutions. Share knowledge and provide guidance to team members on OCI OBI Analytics best practices and emerging trends.
- Continuous Improvement: Stay up-to-date with the latest advancements in OCI services, analytics tools, and technologies. Evaluate new features and functionalities to identify opportunities for enhancing existing solutions and driving innovation.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree is a plus.
- Extensive experience (5+ years) working with Oracle OCI, OBIEE, ODI, BIApps, OAC, OAS, and Fusion Analytics Warehouse.
- Strong expertise in building, optimizing, and supporting analytics solutions in OCI.
- Hands-on experience in implementing/supporting Oracle Business Intelligence Applications for heterogeneous sources like EBS/Siebel/Taleo/Fusion Cloud. The functional modules should cover Financials, Manufacturing, Supply Chain, Procurement and Spend, Sales, etc.
- Proficiency in Oracle SQL, PL/SQL, and data modelling concepts.
- Experience and in-depth understanding of Data Model and Business process functionality and its data flow in Oracle Business Intelligence Applications.
Oracle Analytics Engineer employer: Oracle
Contact Detail:
Oracle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oracle Analytics Engineer
✨Tip Number 1
Familiarise yourself with Oracle Cloud Infrastructure (OCI) and its analytics tools. Understanding the specific functionalities of OBIEE, ODI, and OAC will give you a significant edge during interviews, as you'll be able to discuss how you've used these tools in past projects.
✨Tip Number 2
Network with professionals in the analytics field, especially those who work with Oracle technologies. Attend relevant meetups or webinars to connect with potential colleagues and learn about industry trends that could be beneficial for your role.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented data integration workflows or optimised analytics solutions. Having concrete examples ready will demonstrate your hands-on experience and problem-solving skills to the hiring team.
✨Tip Number 4
Stay updated on the latest advancements in Oracle analytics tools and OCI services. Being knowledgeable about new features can set you apart from other candidates and show your commitment to continuous improvement in the field.
We think you need these skills to ace Oracle Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Oracle OCI, OBIEE, ODI, and other relevant tools mentioned in the job description. Use specific examples to demonstrate your skills in building and optimising analytics solutions.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities of the role. Explain how your background aligns with the requirements, particularly your experience in data integration and transformation, as well as your ability to collaborate with cross-functional teams.
Showcase Relevant Projects: If you have worked on specific projects involving Oracle Analytics Cloud or similar technologies, include these in your application. Detail your role, the challenges faced, and the outcomes achieved to illustrate your expertise.
Highlight Security Clearance Eligibility: Since the role requires eligibility for Security Clearance, make sure to mention your UK citizenship clearly in your application. This will help the hiring team quickly identify your suitability for the position.
How to prepare for a job interview at Oracle
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Oracle OCI, OBIEE, ODI, and other relevant tools. Highlight specific projects where you designed or optimised analytics solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Understand the Business Context
Research the company and its analytics initiatives. Understand how your role as an Oracle Analytics Engineer fits into their broader goals. This will help you tailor your responses and demonstrate your ability to align technical solutions with business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Practice articulating your thought process when designing data models or troubleshooting issues, as this will showcase your analytical thinking and expertise.
✨Emphasise Collaboration and Communication
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with stakeholders. Share examples of how you gathered requirements, provided feedback, and shared knowledge, as effective communication is key in this position.
