Oracle Analytics Engineer
Oracle Analytics Engineer

Oracle Analytics Engineer

Manchester 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 and related 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

As an Oracle Analytics Engineer with us, you'll 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 you can advance your career while contributing to impactful analytics solutions. Located in the UK, our company fosters a culture of inclusivity and support, making it an excellent place for talented individuals seeking meaningful and rewarding employment.
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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 certifications to deepen your knowledge and demonstrate your commitment to potential employers.

✨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 skills they value.

✨Tip Number 3

Stay updated on the latest trends and advancements in data analytics and OCI services. Follow relevant blogs, forums, and social media channels to keep your knowledge fresh and be prepared to discuss recent developments during interviews.

✨Tip Number 4

Prepare for technical interviews by practising problem-solving scenarios related to data integration and transformation. Be ready to showcase your ability to design and optimise analytics solutions, as this will be crucial in demonstrating your fit for the role.

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 Governance Frameworks
Security and Compliance Knowledge
Collaboration and Stakeholder Engagement
Troubleshooting and Production Support
Continuous Improvement Mindset

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. 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 Responsibilities

Familiarise yourself with the specific responsibilities outlined in the job description. Be ready to discuss how your previous experiences align with tasks like solution design, data integration, and production support, demonstrating your understanding of the role.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills. Think about past challenges you've faced in analytics projects and how you overcame them, particularly in relation to data governance and security compliance.

✨Emphasise Collaboration and Communication

Highlight your ability to work with cross-functional teams. Share examples of how you've collaborated with business users, data analysts, and IT teams to gather requirements and deliver solutions, showcasing your teamwork and communication skills.

Oracle Analytics Engineer
Oracle
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