Oracle Analytics Engineer
Oracle Analytics Engineer

Oracle Analytics Engineer

Bradford 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 strong SQL skills 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 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 discussions.

✨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 have similar interests. This can provide insights into the latest trends and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss real-world scenarios where you've implemented analytics solutions. Be ready to share specific examples of how you've optimised performance or resolved issues, as this demonstrates your hands-on experience and problem-solving skills.

✨Tip Number 4

Stay updated on the latest advancements in Oracle analytics tools and technologies. Being knowledgeable about new features can set you apart from other candidates and show 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
Data Transformation Techniques
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 key 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 this 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 in detail. Highlight specific projects where you 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

Research the company and its analytics initiatives. Be ready to explain how your technical skills can address their specific business needs. This shows that you are not just a tech expert but also understand how analytics drives decision-making in a business environment.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems related to data integration, performance optimisation, or security governance. Practising these scenarios will help you articulate your thought process and problem-solving abilities effectively during the interview.

✨Demonstrate Collaboration Skills

Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with stakeholders in the past. Discuss how you gathered requirements, provided feedback, and shared knowledge, as this will highlight your teamwork and communication skills.

Oracle Analytics Engineer
Oracle

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