Oracle Analytics Engineer
Oracle Analytics Engineer

Oracle Analytics Engineer

Cambridge Full-Time 48000 - 72000 £ / year (est.) No home office possible
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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, 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 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

As an Oracle Analytics Engineer at our company, you will join a dynamic and innovative team dedicated to leveraging cutting-edge technology in a collaborative work environment. We offer competitive benefits, including professional development opportunities and a strong focus on employee growth, ensuring that you can advance your career while contributing to impactful analytics solutions. Located in the UK, we pride ourselves on fostering a culture of inclusivity and support, making us an excellent employer for those seeking meaningful and rewarding work.
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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 tutorials to brush up on these specific technologies.

✨Tip Number 2

Network with professionals in the field of Oracle analytics. Join relevant forums, LinkedIn groups, or attend meetups to connect with others who work with OCI. This can provide insights into the latest trends and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss your past projects involving data integration and transformation. Be ready to share specific examples of how you've implemented solutions using ODI and other tools, as this will demonstrate your hands-on experience.

✨Tip Number 4

Stay updated on the latest advancements in Oracle analytics and cloud services. Follow Oracle's official blogs and participate in webinars to ensure you are knowledgeable about new features that could enhance your application.

We think you need these skills to ace Oracle Analytics Engineer

Oracle Cloud Infrastructure (OCI)
Oracle Business Intelligence Enterprise Edition (OBIEE)
Oracle Data Integrator (ODI)
Business Intelligence Applications (BIApps)
Oracle Analytics Cloud (OAC)
Oracle Analytics Server (OAS)
Fusion Analytics Warehouse
Data Modelling
SQL and PL/SQL Proficiency
Performance Optimisation
Data Integration Workflows
Data Security and Governance
Troubleshooting and Support
Collaboration with Cross-Functional Teams
Continuous Improvement and Innovation

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 Strong 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, transformation, and production support.

Highlight Security Clearance Eligibility: Since the role requires eligibility for Security Clearance, clearly state your UK citizenship and any relevant security clearance you may have in your application materials.

Showcase Continuous Learning: Mention any recent training or certifications related to Oracle Analytics or cloud technologies. This demonstrates your commitment to staying updated with industry trends and best practices.

How to prepare for a job interview at Oracle

✨Showcase Your Technical Expertise

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

Familiarise yourself with the business areas that the role will impact, such as Financials, Manufacturing, and Supply Chain. Demonstrating an understanding of how analytics can drive decision-making in these areas will show your potential employer that you can align technical solutions with business needs.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach data integration, performance optimisation, or troubleshooting issues in an analytics environment, and be ready to articulate your thought process clearly.

✨Emphasise Collaboration Skills

Since the role involves working with cross-functional teams, be sure to highlight your collaboration experiences. Share examples of how you've effectively communicated with stakeholders, gathered requirements, and shared knowledge within a team setting.

Oracle Analytics Engineer
Oracle
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  • Oracle Analytics Engineer

    Cambridge
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-06-06

  • O

    Oracle

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