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- Tasks: Design and implement cutting-edge analytics solutions in Oracle Cloud Infrastructure.
- Company: Join a forward-thinking tech company 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 and data governance.
- Qualifications: 5+ years experience with Oracle OCI, OBIEE, and strong SQL skills 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, reports
- Fusion Analytics - Fusion Data Intelligence (formerly known as Fusion Analytics Warehouse)
- Oracle Analytics Cloud - OAC
- Data modelling
- Semantic Model extensions
Job Summary: 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.
Contact Detail:
Oracle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oracle Analytics Engineer
✨Tip Number 1
Network with professionals in the Oracle Analytics community. Attend relevant meetups, webinars, or conferences to connect with others in the field. This can help you gain insights into the latest trends and potentially lead to job referrals.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as OBIEE, ODI, and Fusion Analytics Warehouse. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to potential employers.
✨Tip Number 3
Prepare for technical interviews by practising common analytics scenarios and problem-solving exercises related to OCI. Being able to discuss your thought process and approach to real-world challenges will set you apart from other candidates.
✨Tip Number 4
Showcase your experience with data integration and transformation in your discussions. Be ready to provide examples of how you've successfully collaborated with data engineering teams to implement workflows, as this is a key aspect of the role.
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 Cloud Infrastructure, 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 Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the responsibilities outlined. Mention your eligibility for Security Clearance and any relevant projects that showcase your expertise in data integration and transformation.
Highlight Relevant Experience: When detailing your work history, focus on your extensive experience (5+ years) with Oracle technologies. Include specific achievements related to solution design, implementation, and production support that demonstrate your capability to meet the job requirements.
Showcase Continuous Learning: Mention any recent training or certifications related to Oracle Analytics or cloud technologies. This shows your commitment to staying updated with industry trends and your proactive approach to professional development.
How to prepare for a job interview at Oracle
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Oracle Cloud Infrastructure, OBIEE, ODI, and other relevant tools. Highlight specific projects where you've designed or optimised analytics solutions, as this will demonstrate your hands-on skills and understanding of the technologies required for the role.
✨Understand the Business Context
Familiarise yourself with the business areas that the company operates in, such as Financials, Manufacturing, and Supply Chain. This knowledge will help you articulate how your technical skills can directly contribute to solving business problems and driving data-driven decision-making.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly around data integration and performance optimisation, and be ready to explain how you approached and resolved these issues.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, be sure to highlight your collaboration and communication skills. Share examples of how you've successfully worked with stakeholders to gather requirements and deliver high-quality analytics solutions.
