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 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 a dynamic team shaping the future of analytics with innovative technologies.
  • Qualifications: Bachelor's degree in IT or related field; 5+ years experience with Oracle analytics 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, 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 tools. Understanding the specific functionalities of OBIEE, ODI, and OAC will give you a significant edge during interviews, as you'll be able to discuss how you've applied these tools in real-world scenarios.

✨Tip Number 2

Network with professionals in the Oracle analytics community. Attend relevant meetups or webinars to connect with others in the field. This can lead to valuable insights about the role and potentially even referrals that could help you land the job.

✨Tip Number 3

Prepare to discuss your experience with data integration and transformation workflows. Be ready to share specific examples of how you've collaborated with data engineering teams to implement effective solutions, as this is a key responsibility of the role.

✨Tip Number 4

Stay updated on the latest trends and advancements in analytics and OCI services. Being knowledgeable about new features and best practices will not only impress your interviewers but also demonstrate your commitment to continuous improvement in the field.

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: In your cover letter, express your enthusiasm for the role and the company. Mention your eligibility for Security Clearance and how your background aligns with the responsibilities outlined in the job description.

Highlight Relevant Experience: When detailing your work history, focus on projects where you designed and implemented analytics solutions. Emphasise your collaboration with cross-functional teams and any experience with data integration and transformation.

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, which is crucial for this role.

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. Highlight specific projects where you've built or optimised analytics solutions, and be ready to explain the technical challenges you faced and how you overcame them.

✨Understand the Business Context

Research the company and its analytics needs. Be ready to discuss how your skills can help them achieve their business objectives. Understanding the industry and the specific challenges they face will demonstrate your commitment and insight.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems related to data integration, performance optimisation, or security governance. Practise articulating your thought process and the steps you would take to address these scenarios.

✨Emphasise Collaboration and Communication

This role involves working with cross-functional teams, so be sure to highlight your teamwork and communication skills. Share examples of how you've successfully collaborated with stakeholders to deliver high-quality analytics solutions.

Oracle Analytics Engineer
Oracle
Location: Cambridge
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  • Oracle Analytics Engineer

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

    Oracle

    10000+
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