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 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 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 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 will thrive in a dynamic and inclusive work culture that prioritises collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a clear career progression path, all while working in a vibrant location that fosters creativity and teamwork. Enjoy competitive benefits, including flexible working arrangements and a supportive environment that values your contributions to our analytics initiatives.
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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 mastering these technologies.

✨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 challenges they face, which you can address in your discussions.

✨Tip Number 3

Prepare to discuss real-world scenarios where you've successfully implemented analytics solutions. Be ready to share specific examples of how you've optimised performance or resolved issues in previous roles, as this will showcase your problem-solving skills and practical experience.

✨Tip Number 4

Stay updated on the latest trends and advancements in data analytics and Oracle technologies. Follow relevant blogs, forums, and social media channels to keep your knowledge fresh. This will not only help you in interviews but also show your enthusiasm for 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
SQL and PL/SQL Proficiency
Performance Optimisation
Data Integration Workflows
Data Security and Governance
Troubleshooting and Support
Collaboration with Cross-Functional Teams
Continuous Improvement and Innovation

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 their needs, particularly your experience in data integration, transformation, and production support.

Highlight Security Clearance Eligibility: Since the role requires eligibility for Security Clearance, make sure to clearly state your UK citizenship and any relevant security clearance you may have in your application.

Showcase Continuous Learning: Mention any recent training or certifications related to Oracle Analytics or cloud technologies. This shows your commitment to staying updated with industry trends and advancements.

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 designed 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 initiatives. Understand how they use data to drive decision-making and be ready to discuss how your skills can contribute to their goals. This shows that you're not just technically proficient but also aligned with their business objectives.

✨Prepare for Scenario-Based Questions

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

✨Demonstrate Collaboration Skills

Since this 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 gather requirements, provide feedback, and ensure that everyone is on the same page throughout a project.

Oracle Analytics Engineer
Oracle
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