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- Tasks: Join our Analytics team as a Senior Data Analyst, focusing on data analysis and visualisation.
- Company: KBS Maritime delivers top-notch Asset Management and Dockyard Services in the maritime and defence sectors.
- Benefits: Enjoy 25 days holiday, enhanced pension, life insurance, and flexible parental benefits.
- Why this job: Be a key player in driving data-driven decisions and enjoy a supportive, empowering work culture.
- Qualifications: Proven experience in data analysis, strong SQL skills, and familiarity with Microsoft SAAS stack required.
- Other info: Applications close on 7th April 2025; interviews start the following week.
Location: Portsmouth (HM Naval Base)
Service Area: IM&T, Business Support
Hours of Work: Permanent Contract, Full time
What You’ll be doing:
We are seeking a highly skilled and detail-orientated Senior Data Analyst to join our Analytics team. The ideal candidate will have extensive experience in data analysis (descriptive, predictive, forecasting) and visualisation, as well as expertise in leveraging Microsoft Fabric to transform raw data into actionable insights. The role will focus on generating Management Information (MI) through automated solutions and providing analytical insights to support decision-making processes across the organisation.
As a Senior Data Analyst at KBS Maritime, you will play a crucial role in driving data-driven decision-making within the organisation and for our clients (MOD). You will work with various business areas and information sources, including MOD asset information and operational business information used for the delivery of our client contract (FMSP) and the operation of the KBS Maritime business.
In this role, you will be instrumental in the entire analytical product development life cycle, from collaboration with stakeholders to identify data and reporting requirements through to hands-on solution architecting, development, implementation and maintenance.
You’ll Have:
- Proven experience in a similar Senior Analyst role, coupled with hands-on experience delivering Business Intelligence (BI) reporting and analytical solutions.
- Experience and knowledge spanning a variety of statistical methods and techniques (descriptive analytics, predictive/forecast modelling).
- Proficiency in the Microsoft SAAS stack, including Power BI for creating advanced visualisations and reports, Fabric and Power Platform.
- Strong SQL skills and experience transforming large datasets.
- Experience with ETL procedures and Data Engineering (Dataflows and Data pipelines) is preferred.
- Experience in using programming languages (SQL, M query, KQL, Python, R) and formula/expression languages (DAX).
- First-hand experience of Agile methodologies (Scrum framework) is desirable.
- Industry certification held in Microsoft Certified: Power BI Data Analyst Associate (PL300) / Microsoft Certified: Fabric Analytics Engineer Associate (DP600).
About you:
You’ll have excellent critical thinking and problem-solving abilities to be able to produce the desired solutions, in addition to excellent time-management skills to link a variety of projects and be able to showcase exceptional interpersonal and communication skills to meet the standards recognised through internal stakeholders and customers. With strong attention to detail and a commitment to data accuracy and integrity, you’ll have a strong sense of ownership and take pride in delivering impactful results, in tandem with a proactive nature, where you are perceived as a champion for continuous improvement & transition towards a data informed, risk-based decision culture.
You’ll get:
A competitive salary coupled with 25 days holiday plus bank holidays, an enhanced pension scheme and life insurance. Also, you will have access to our in-house benefits and discounts programme for all colleagues, cycle to work scheme and continued professional career development and training. Lastly, you will also have access to flexible parental benefits (if applicable) and our internal employee assistance network, giving you the opportunity to reach the heights of success within your new position.
Application process:
Applications are urged to apply prior to the advertising closing date of Monday 7th April 2025, with a view of interviews scheduled to commence week commencing Monday 14th April 2025. For all queries, please contact the Recruitment Team in the first instance who will advise accordingly.
About Us:
KBS Maritime delivers Asset Management, Construction Project Delivery, Facilities Management and Dockyard Services across the maritime and defence environments. With parent companies KBR and BAE Systems, the JV has the pedigree of two global organisations, but we have the ethos of a small business where our people are valued and empowered to succeed. It’s a great place to work and we bring opportunity to all our team.
Senior Data Analyst employer: KBS Maritime Ltd
Contact Detail:
KBS Maritime Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Microsoft Fabric and Power BI, as these are crucial tools for the role. Consider creating a small project or portfolio piece that showcases your ability to transform raw data into actionable insights using these platforms.
✨Tip Number 2
Brush up on your SQL skills, especially in transforming large datasets. You might want to practice writing complex queries or even contribute to open-source projects that involve data analysis to demonstrate your expertise.
✨Tip Number 3
Network with professionals in the data analytics field, particularly those who have experience in the maritime or defence sectors. Attend relevant meetups or webinars to gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies during the interview. Think of specific examples where you’ve successfully collaborated in a team setting, as this will highlight your ability to work effectively within their framework.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with Microsoft Fabric and Business Intelligence reporting. Use specific examples that demonstrate your skills in predictive modelling and data visualisation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with SQL, ETL procedures, and Agile methodologies. Show them why you’re the perfect fit!
Highlight Relevant Skills: Clearly list your technical skills, such as proficiency in Power BI, Python, and R. Emphasise your experience with data pipelines and your ability to transform large datasets into actionable insights, as these are crucial for the role.
Showcase Problem-Solving Abilities: Provide examples of how you've used critical thinking and problem-solving skills in previous roles. This could include specific projects where you delivered impactful results or improved processes through data-driven decision-making.
How to prepare for a job interview at KBS Maritime Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis tools and techniques, especially Microsoft Fabric, Power BI, and SQL. Bring examples of past projects where you transformed raw data into actionable insights, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research KBS Maritime and its operations within the maritime and defence sectors. Understanding their specific challenges and how data analytics can drive decision-making will help you tailor your responses and show that you're genuinely interested in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and critical thinking skills. Prepare to discuss how you've approached complex data challenges in the past, including your thought process and the outcomes of your solutions.
✨Demonstrate Your Communication Skills
As a Senior Data Analyst, you'll need to communicate complex data insights to non-technical stakeholders. Practice explaining your analytical findings in simple terms and be ready to showcase your interpersonal skills during the interview.
