At a Glance
- Tasks: Lead the design and delivery of advanced analytics solutions that drive strategic decisions.
- Company: Dynamic organisation focused on data-driven innovation and collaboration.
- Benefits: Competitive pay, hybrid working, and opportunities for professional growth.
- Other info: Mentor junior analysts and shape the future of data practices.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: SC clearance, MOD experience, and strong SQL skills required.
The predicted salary is between 83 - 83 £ per hour.
- Job Details
- Data Analyst
- Hybrid working in Reading
- SC cleared role
- Inside IR35
Are you an experienced SC cleared Data Analyst ready to lead impactful, data-driven innovation?
We're looking for a Principal Data Analyst to drive the design and delivery of advanced analytics solutions that inform strategic decisions and unlock business value.
In this role, you'll be at the forefront of our data journey - leading technical initiatives, mentoring colleagues, and influencing how the organisation harnesses data.
Skills
- Data Analyst
- MOD experience
- SC cleared
- What You’ll Dop
- Lead the design and delivery of complex analytics and insight solutions across multiple projects
- Oversee dashboarding, reporting, and automation workflows using SQL and cutting-edge tools
- Define and implement best-practice data governance, security, and compliance standards
- Collaborate with architects, engineers, and business leaders to shape enterprise data strategy
- Inspire and guide stakeholders to make informed, data-driven decisions
- Mentor and develop junior analysts, enhancing team capability
- Innovate - adopting emerging technologies and driving continuous improvement in data practices
- What You’ll Bring
- Deep understanding of data lifecycle, governance, and quality principles
- Advanced experience with SQL and data warehousing tools
- Expertise in data visualisation (Power BI, Tableau) and report automation
- Proven track record in translating complex datasets into powerful business insights
- Strong leadership, mentoring, and communication skills
- Ability to shape technical direction and lead data-driven initiatives
- Core Expertise (Must-Have)
- MOD Experience
- Skilled in data modelling and dashboard design for future-proofed solutions
- Strong knowledge of data validation and QA processes
- Proven expertise in data warehousing and cloud/hybrid data environments
- Deep understanding of data security, ethics, and privacy
- Experience managing multidisciplinary team workloads and work packages
- Familiarity with Agile/Dev Ops methodologies
- #J-18808-Ljbffr
Data Analyst - Sc cleared in Reading employer: CBSbutler
At CBSbutler, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Manufacturing Engineer in Larkhill, you will benefit from continuous professional development opportunities, competitive compensation, and a supportive environment that values your contributions to driving efficiency and quality in manufacturing processes. Join us to be part of a forward-thinking team dedicated to excellence and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Sc cleared in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CBSbutler!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - Sc cleared at CBSbutler.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CBSbutler.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Sc cleared at CBSbutler, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - Sc cleared in Reading
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CBSbutler, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CBSbutler. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CBSbutler
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CBSbutler!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
