Data Systems Analyst

Data Systems Analyst

Swansea Full-Time No home office possible
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At a Glance

  • Tasks: Lead the implementation of a Direct Data Capture process in a lab environment.
  • Company: Join a dynamic team focused on enhancing scientific data accuracy.
  • Benefits: Competitive pay, hybrid work model, and valuable project experience.
  • Why this job: Make a real impact on scientific data handling and efficiency.
  • Qualifications: Experience with SQL, relational databases, and managing technical projects.
  • Other info: Collaborative environment with opportunities for professional growth.

Job Description

Data Systems AnalystLocation: Swansea – HybridHours: 37 per week, Monday-FridayContract Type: Temporary until 31st March 2026Pay rate: £21.38 per hourWe’re looking for a Data Systems Analyst to help drive the implementation of a Direct Data Capture (DDC) process across a laboratory environment, enhancing the accuracy and reliability of scientific data.You’ll be at the heart of a collaborative technical team, working with internal specialists and external partners to deliver a robust, auditable solution that meets governance and accreditation standards. This is a hands-on role combining technical expertise, stakeholder engagement and project delivery.What you’ll be doing:
  • Leading the rollout of a tested DDC process into a live laboratory environment.
  • Coordinating delivery, testing, and documentation to meet external accreditation standards.
  • Scoping and analysing database solutions to inform future improvements.
  • Developing innovative data handling processes to boost efficiency and evidence value.
  • Providing specialist advice and producing guidance materials for users.

What we’re looking for:

  • Strong experience with relational databases and SQL for data extraction and reporting.
  • Proven track record of managing technical projects and working across multidisciplinary teams.
  • Excellent communication skills, with the ability to tailor technical information to varied audiences.
  • Analytical mindset with strong problem-solving skills and attention to detail.

Data Systems Analyst employer: Pertemps SSDC - DDT

As a Data Systems Analyst in Swansea, you will join a dynamic and supportive team dedicated to enhancing scientific data accuracy through innovative solutions. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee development ensures you have ample opportunities for growth and skill enhancement. With a focus on meaningful projects and a collaborative environment, we offer a rewarding experience that makes a real impact in the laboratory setting.
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Contact Detail:

Pertemps SSDC - DDT Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Systems Analyst

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.

✨Tip Number 2

Prepare for interviews by practising common questions related to data systems and project management. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.

✨Tip Number 3

Showcase your skills through a portfolio! If you’ve worked on relevant projects, compile them into a portfolio that highlights your experience with relational databases and SQL. This gives potential employers a tangible sense of what you can bring to the table.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else.

We think you need these skills to ace Data Systems Analyst

Data Systems Analysis
Direct Data Capture (DDC)
Relational Databases
SQL
Project Management
Stakeholder Engagement
Technical Expertise
Documentation Skills
Analytical Mindset
Problem-Solving Skills
Attention to Detail
Communication Skills
Innovative Data Handling Processes

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with relational databases and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your technical expertise!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Systems Analyst role. Share specific examples of your project management experience and how you've worked with multidisciplinary teams.

Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and if possible, tailor your examples to show how you can communicate complex information to varied audiences.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Pertemps SSDC - DDT

✨Know Your Data Inside Out

Make sure you brush up on your knowledge of relational databases and SQL. Be prepared to discuss specific examples of how you've used these skills in past projects, especially in a laboratory or technical environment.

✨Showcase Your Project Management Skills

Think of a few key projects where you led the implementation of a process or system. Be ready to explain your role, the challenges you faced, and how you coordinated with different teams to achieve success.

✨Tailor Your Communication Style

Since you'll be working with various stakeholders, practice explaining complex technical concepts in simple terms. This will demonstrate your excellent communication skills and ability to engage with diverse audiences.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your analytical mindset and problem-solving abilities. Prepare examples of how you've tackled data-related challenges in the past, focusing on your thought process and the outcomes.

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