At a Glance
- Tasks: Transform complex data into clear insights and develop engaging dashboards using Power BI.
- Company: Join DBD, a leader in the nuclear industry with a focus on innovation.
- Benefits: Enjoy up to 20% bonus, 25 days holiday, and private health insurance.
- Why this job: Make a real impact in the nuclear sector while growing your career.
- Qualifications: Hands-on experience in data analysis with strong skills in Power BI and SQL.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
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.
Data Analyst in England employer: DBD International
Contact Detail:
DBD International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and reports using Power BI, SQL, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when analysing data and how you’ve collaborated with teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who want to make a difference in the nuclear industry. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with Power BI, SQL, and Python, and show us how you've transformed data into actionable insights in previous roles.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of dashboards or reports you've created, and any KPIs you've helped define. We want to see how you’ve made a difference with your analytical prowess.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point while showcasing your personality.
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 don’t miss out on any important updates from our team. Let’s make this happen!
How to prepare for a job interview at DBD International
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and Python. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Prepare Insightful Questions
Think about what you want to know regarding the company’s data practices and how they measure success. Asking insightful questions not only shows your interest but also helps you gauge if the company aligns with your career goals.
✨Showcase Your Analytical Mindset
Be prepared to discuss how you approach data analysis. Share examples of how you've identified trends or solved problems using data. This will highlight your ability to transform complex data into actionable insights, which is key for the role.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any instances where you’ve successfully communicated findings or shaped analytical approaches with different stakeholders.