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- Tasks: Support data management operations and ensure data accuracy in a high-stakes environment.
- Company: Join a leading client focused on enterprise data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on financial and investment data projects.
- Why this job: Make an impact by ensuring data quality and collaborating with diverse teams.
- Qualifications: Degree in IT or related field with 3-8 years of experience in data analysis.
The predicted salary is between 45000 - 55000 £ per year.
Our client is looking for a Data Engineer / Data Analyst to support data management operations within the Enterprise Data Warehouse and Total Portfolio Data Mart. This role focuses on ensuring data accuracy, quality, and smooth data operations in a structured, high-stakes environment.
Job Responsibilities
- Support data management operations for enterprise data platforms
- Perform data reconciliation and data quality checks, including monitoring and troubleshooting
- Investigate and resolve data issues and discrepancies
- Work closely with stakeholders to manage data-related queries and SLA requirements
- Perform User Acceptance Testing (UAT) to ensure data accuracy and system reliability
- Develop and maintain technical and functional documentation
- Collaborate with cross-functional teams to support data pipelines and reporting needs
- Ensure compliance with data governance and operational standards
Job Requirements
- Degree in Computer Science, Information Technology, or related field
- 3–8 years of relevant experience
- Experience in data analysis and data operations
- Strong experience in data reconciliation and data quality checks
- Proficient in Oracle PL/SQL (must-have)
- Experience in UAT and data validation
- Able to manage end-user queries and SLA-driven environments
- Good problem-solving and analytical skills
- Strong communication and stakeholder management skills
Good to Have
- Experience in financial or investment data domain
- Experience with Tableau and Snowflake
Data Engineer / Analyst (SI client/govt project） employer: Consortium for Clinical Research and Innovation Singapore
Contact Detail:
Consortium for Clinical Research and Innovation Singapore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer / Analyst (SI client/govt project）
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with enterprise data platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially any work with Oracle PL/SQL or data quality checks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Be ready to discuss your experience with data reconciliation and UAT. We want you to shine when it comes to demonstrating your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer / Analyst (SI client/govt project）
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer/Analyst role. Highlight your experience with data management, reconciliation, and any relevant tools like Oracle PL/SQL. We want to see how your skills match what we're looking for!
Showcase Your Experience: In your cover letter, give us a sneak peek into your past projects. Talk about how you've tackled data quality checks or resolved discrepancies. We love seeing real examples of your problem-solving skills in action!
Be Clear and Concise: When filling out your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to technical details.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Consortium for Clinical Research and Innovation Singapore
✨Know Your Data Inside Out
Make sure you brush up on your data management skills, especially in Oracle PL/SQL. Be prepared to discuss your experience with data reconciliation and quality checks, as these are crucial for the role. Think of specific examples where you've tackled data issues or improved data accuracy.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share how you've approached and resolved data discrepancies in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical skills and ability to work under pressure.
✨Engage with Stakeholders
Since this role involves managing end-user queries, it's important to show that you can communicate effectively with stakeholders. Prepare to discuss how you've collaborated with cross-functional teams in previous roles and how you handled any challenges that arose.
✨Prepare for UAT Discussions
User Acceptance Testing (UAT) is a key part of this job, so be ready to talk about your experience with it. Think of examples where you ensured data accuracy and system reliability during testing phases. Highlight any documentation you've developed to support these processes.