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For Companies At a Glance
- Tasks: Design and implement cutting-edge analytics solutions in Oracle Cloud Infrastructure.
- Company: Join a leading tech company driving data-driven decision-making.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of analytics.
- Qualifications: 5+ years experience with Oracle OCI, OBIEE, and data modelling 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 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
Familiarise yourself with Oracle Cloud Infrastructure (OCI) and its analytics tools. Since the role requires extensive experience with OBIEE, ODI, and OAC, consider taking online courses or certifications to deepen your knowledge and demonstrate your commitment to mastering these technologies.
✨Tip Number 2
Network with professionals in the field of Oracle analytics. Attend industry meetups, webinars, or conferences where you can connect with current employees or experts. This can provide valuable insights into the company culture and the specific challenges they face, which you can address in your discussions.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully implemented analytics solutions. Be ready to share specific examples of how you've optimised performance or resolved issues in previous roles, as this will showcase your problem-solving skills and practical experience.
✨Tip Number 4
Stay updated on the latest trends and advancements in analytics and data governance. Being knowledgeable about emerging technologies and best practices will not only help you in interviews but also show that you're proactive and passionate about your field.
We think you need these skills to ace Oracle Analytics Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Oracle Analytics Engineer position. Familiarise yourself with key terms like OCI, OBIEE, and Fusion Analytics to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Oracle Cloud Infrastructure and analytics solutions. Be specific about your past projects involving data modelling, dashboard creation, and any relevant tools you've used.
Showcase Your Skills: Clearly outline your technical skills in Oracle SQL, PL/SQL, and data integration tools. Provide examples of how you've optimised analytics solutions or improved data accuracy in previous roles to demonstrate your expertise.
Tailor Your Application: Customise your application materials to reflect the job description. Use keywords from the posting, such as 'data governance' and 'production support', to ensure your application resonates with the hiring team.
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. Bring examples of dashboards or reports you've created, and be ready to explain the processes you used to optimise performance and ensure data accuracy.
✨Understand the Role's Requirements
Familiarise yourself with the specific responsibilities outlined in the job description. Be ready to discuss how your previous experiences align with tasks like data integration, solution design, and production support, particularly in an OCI environment.
✨Demonstrate Problem-Solving Abilities
Prepare to share examples of challenges you've faced in past projects, especially related to analytics solutions. Highlight your troubleshooting skills and how you resolved issues related to data accuracy or system performance.
✨Emphasise Collaboration and Communication
Since this role involves working with cross-functional teams, be ready to discuss how you've effectively collaborated with stakeholders in the past. Share instances where you gathered feedback or shared knowledge to improve analytics solutions.
