Oracle Analytics Engineer
Oracle Analytics Engineer

Oracle Analytics Engineer

Doncaster Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement cutting-edge 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 and data governance.
  • 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.
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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 services. Understanding the specific tools like OBIEE, ODI, and OAC will not only boost your confidence but also help you articulate your experience effectively during interviews.

✨Tip Number 2

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

✨Tip Number 3

Prepare for technical interviews by practising common OCI-related scenarios. Be ready to discuss how you've implemented data integration workflows or optimised analytics solutions in past roles, as these are key responsibilities for the position.

✨Tip Number 4

Stay updated on the latest advancements in Oracle analytics tools. Being knowledgeable about new features and functionalities can set you apart from other candidates and demonstrate your commitment to continuous improvement.

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
Semantic Model Extensions
SQL and PL/SQL Proficiency
Performance Optimisation
Data Integration Workflows
Troubleshooting and Support
Data Security and Governance
Collaboration and Stakeholder Engagement
Continuous Improvement and Innovation

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: Write a cover letter that addresses the key responsibilities of the role. Explain how your background aligns with the requirements, particularly your experience with data integration and transformation, as well as your ability to collaborate with cross-functional teams.

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 employer quickly identify your suitability for the position.

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 your proactive approach to professional development.

How to prepare for a job interview at Oracle

✨Showcase Your Technical Skills

Make sure to highlight your experience with Oracle OCI, OBIEE, ODI, and other relevant tools during the interview. Be prepared to discuss specific projects where you designed and implemented analytics solutions, as this will demonstrate your hands-on expertise.

✨Understand the Business Context

Familiarise yourself with the company's business model and how analytics can drive decision-making. Being able to articulate how your technical skills can solve real business problems will set you apart from other candidates.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you optimised performance or resolved issues in deployed analytics solutions, as these will showcase your critical thinking and troubleshooting skills.

✨Emphasise Collaboration and Communication

Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with stakeholders. Highlight instances where you gathered requirements or shared knowledge, as effective communication is key in this position.

Oracle Analytics Engineer
Oracle
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