Oracle Analytics Engineer
Oracle Analytics Engineer

Oracle Analytics Engineer

Bolton Full-Time 43200 - 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 a collaborative team culture.
  • Why this job: Be part of innovative projects that shape 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 43200 - 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 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 to our open positions.

✨Tip Number 3

Prepare to discuss your experience with data integration workflows. Be ready to explain how you've collaborated with data engineering teams to implement seamless ETL processes, as this is a crucial aspect of the role.

✨Tip Number 4

Stay updated on the latest trends in data analytics and Oracle technologies. Being knowledgeable about recent advancements can help you demonstrate your commitment to continuous improvement and innovation during the interview process.

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 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Oracle Analytics Engineer position. Familiarise yourself with the specific technologies mentioned, such as Oracle OCI, OBIEE, and Fusion Analytics Warehouse.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in building and optimising analytics solutions, as well as your familiarity with the required tools and technologies.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for analytics and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to design and implement OCI-based analytics solutions.

Highlight Security Clearance Eligibility: Since the role requires eligibility for Security Clearance, make sure to clearly state your UK citizenship in your application. This will help the hiring team quickly assess your eligibility for the position.

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've designed or optimised analytics solutions, as this will demonstrate your hands-on skills and understanding of the technologies required for the role.

✨Understand the Business Context

Familiarise yourself with the business areas that the company operates in, such as Financials, Manufacturing, and Supply Chain. This knowledge will help you articulate how your technical skills can directly contribute to solving business problems and driving data-driven decision-making.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly around data integration and performance optimisation, and be ready to explain how you approached and resolved these issues.

✨Emphasise Collaboration Skills

Since the role involves working closely with cross-functional teams, be sure to highlight your experience in collaborating with stakeholders. Share examples of how you've gathered requirements, provided feedback, and shared knowledge with team members to deliver successful analytics solutions.

Oracle Analytics Engineer
Oracle
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