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For Companies At a Glance
- Tasks: Create data visualisations and reports to communicate insights effectively.
- Company: Join DBD, a rapidly growing company making an impact in the nuclear industry.
- Benefits: Enjoy up to 20% bonus, 25 days holiday, enhanced pension, and private health insurance.
- Why this job: Shape the future of the nuclear sector while developing your skills in a collaborative environment.
- Qualifications: Hands-on experience in data analysis and familiarity with Microsoft data tools are essential.
- Other info: Be part of a team that values your growth and empowers you to make a difference.
The predicted salary is between 28800 - 48000 £ per year.
Role summary
As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis within a highly regulated engineering environment.
What you will be doing
- Developing clear, insightful, and visually engaging dashboards, reports, and data visualisations using Power BI to support informed decision-making.
- Analysing and manipulating data using SQL and Python to identify trends, patterns, and actionable insights.
- Supporting the definition and refinement of key performance indicators (KPIs) and metrics to track business and technical performance.
- Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings.
- Monitoring data quality, identifying anomalies, and implementing controls to maintain data accuracy, consistency, and integrity.
- Providing training, guidance, and ongoing support to users of data platforms and analytics tools.
Formal qualifications or training
We’d love to hear from you if you have hands‑on experience in data analysis, manipulation, and visualisation. Strong experience using a Microsoft data technology stack (including Power BI and SQL) is essential, with working knowledge of Python for analysis and automation highly desirable.
Make a Difference with DBD
At DBD, we know you\’re looking for more than just a job – you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations.
Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year,over the past two years, we continue to welcome new, talented individuals to our team.
We\’re committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it.
Join us to play a key role in shaping the nuclear sector\’s future.
Make a difference today with DBD.
Benefits
up to 20% bonus, 25 days holiday, enhanced pension, private health insurance, private dental, and more
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Data Analyst employer: DBD International
Contact Detail:
DBD International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with Power BI and Excel, as these are key tools for the Data Analyst role. Consider creating sample dashboards or reports to showcase your skills and understanding of data visualisation.
✨Tip Number 2
Network with professionals in the nuclear industry or data analysis field. Attend relevant webinars or local meetups to connect with potential colleagues and learn more about the specific challenges they face.
✨Tip Number 3
Prepare to discuss your experience with KPIs and metrics during interviews. Think of examples where you successfully tracked performance and how it impacted decision-making in previous roles.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of past projects where you worked with cross-functional teams. Highlight how you contributed to shaping project goals and delivering data solutions.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, manipulation, and visualisation. Emphasise your familiarity with Microsoft tools like Power BI and Excel, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to create data visualisations and track KPIs, aligning them with the company's goals.
Showcase Your Analytical Skills: Provide examples of how you've analysed complex datasets in the past. Highlight any trends or anomalies you identified and the actionable insights you provided, as this will resonate well with the job requirements.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations. Describe how you defined project goals and shaped analytical requirements to deliver effective data solutions.
How to prepare for a job interview at DBD International
✨Showcase Your Data Visualisation Skills
Prepare to discuss your experience with tools like Power BI and Excel. Bring examples of data visualisations you've created, and be ready to explain how they effectively communicated insights to stakeholders.
✨Understand Key Performance Indicators (KPIs)
Familiarise yourself with the concept of KPIs and be prepared to discuss how you have developed and tracked them in previous roles. Highlight your ability to align metrics with strategic business goals.
✨Demonstrate Analytical Thinking
Be ready to analyse a sample dataset during the interview. Show how you identify trends, patterns, and anomalies, and articulate actionable insights that could support decision-making.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated on projects. Discuss how you defined project goals and shaped analytical requirements together with others.
