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- Tasks: Analyse and manage large HR data sets for a cloud migration project.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Enjoy remote work flexibility and potential contract extension.
- Why this job: Be part of a crucial project that shapes the future of HR data management.
- Qualifications: Experience in data analysis, Oracle EBS, SQL, and visualisation tools required.
- Other info: This is a 6-month contract role with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
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Oracle Data Analyst – Remote – 6 months contract, extendable
We are seeking an experienced Oracle Data Analyst, specialising in HR data and Oracle E-Business Suite (EBS), to support a pre-migration data analysis project.
The successful candidate will work within a project team to manage and analyse large HR data sets in preparation for a future cloud migration.
Key Requirements:
- Proven experience as a Data Analyst, preferably in HR/IT project environments
- Strong expertise in Oracle EBS (HR modules preferred)
- Proficient in SQL, Excel, and visualisation tools such as Power BI or Tableau
- Strong attention to detail and ability to work with large, complex data sets
- Excellent communication and documentation skills
Project Context:
This is a pre-migration analytics role supporting a future move to a frozen cloud platform. The objective is to analyse and assess HR data readiness ahead of the formal migration phase.
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Oracle Data Analyst employer: RED SAP Solutions
Contact Detail:
RED SAP Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oracle Data Analyst
✨Tip Number 1
Familiarise yourself with Oracle E-Business Suite, especially the HR modules. Understanding the specific functionalities and data structures will give you an edge during interviews and help you demonstrate your expertise.
✨Tip Number 2
Brush up on your SQL skills, as this role requires proficiency in querying large datasets. Consider working on sample HR datasets to practice writing complex queries that can extract meaningful insights.
✨Tip Number 3
Get comfortable with data visualisation tools like Power BI or Tableau. Being able to present your findings visually can set you apart from other candidates, so try creating dashboards or reports using sample data.
✨Tip Number 4
Prepare for potential scenario-based questions in your interview. Think about how you would approach data analysis for a cloud migration project, and be ready to discuss your problem-solving strategies and attention to detail.
We think you need these skills to ace Oracle Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst, especially in HR and IT project environments. Emphasise your expertise in Oracle EBS and any relevant projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the requirements of the Oracle Data Analyst position. Mention your proficiency in SQL, Excel, and visualisation tools like Power BI or Tableau, and how these skills will benefit the project.
Showcase Communication Skills: Since excellent communication and documentation skills are crucial for this role, provide examples in your application of how you've effectively communicated complex data insights in previous roles.
Highlight Attention to Detail: In your application, include specific instances where your attention to detail has positively impacted a project, particularly when working with large and complex data sets.
How to prepare for a job interview at RED SAP Solutions
✨Showcase Your Oracle EBS Expertise
Make sure to highlight your experience with Oracle E-Business Suite, especially the HR modules. Be prepared to discuss specific projects where you've used EBS to manage HR data, as this will demonstrate your relevant skills.
✨Demonstrate Your Data Analysis Skills
Prepare examples of how you've successfully analysed large and complex data sets in previous roles. Discuss the tools you used, such as SQL or Excel, and how your analysis contributed to project outcomes.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining technical concepts in a straightforward manner. Be ready to discuss how you document your findings and share insights with team members and stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in data migration or analysis and how you overcame them, as this will showcase your critical thinking skills.
