Senior Data Analyst

Portsmouth
2 weeks ago
Create job alert

Job Title: Senior Data Analyst

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 and, experience and knowledge spanning a variety of statistical methods and techniques (descriptive analytics, predictive/forecast modelling). With proficiency in the Microsoft SAAS stack, including Power BI for creating advanced visualisations and reports, Fabric and Power Platform, you’ll also be able to evidence strong SQL skills and experience transforming large datasets.

Experience with ETL procedures and Data Engineering (Dataflows and Data pipelines) is preferred, along with 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, and 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 customer.

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

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Insights Analyst, SQL Server, PowerBI, Azure Mainly Remote

Senior Manager Data Analyst

Senior Manager Marketing Data & Insights Strategy

Senior Data Engineer

Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Engineering Talent

Data engineering has become a foundational pillar for organisations seeking to leverage their data assets effectively. From building robust data pipelines and integrating real-time analytics to migrating entire infrastructures to the cloud, skilled data engineers drive innovation and growth. In the United Kingdom, demand for data engineering professionals spans multiple sectors, including finance, healthcare, retail, tech start-ups, and government services. However, if you’re an international data engineering specialist looking to build or advance your career in the UK, one critical step stands before you: navigating the visa and work permit landscape. This comprehensive guide breaks down key visa routes, eligibility criteria, and practical steps to help you secure employment and settle into the UK’s thriving data ecosystem. Whether you specialise in ETL processes, big data platforms, or cloud infrastructure, understanding the UK visa system is the first step toward realising your ambitions.

Top UK Data Engineering Labs and Institutes: Powering the Future of Data-Driven Innovation

Data is the new “oil” of the modern digital economy, but it only becomes valuable when refined into usable insights. That’s where data engineering steps in—building the pipelines, architectures, and systems that underpin data-intensive applications across every sector. From healthcare analytics to streaming media platforms, from cutting-edge AI research to real-time financial trading, the demand for robust data infrastructure is constantly growing. In the United Kingdom, data engineering has emerged as a fast-expanding field, supported by world-class universities, cutting-edge research institutes, and a thriving tech industry. In this guide—brought to you by DataEngineeringJobs.co.uk—we explore the top UK labs and institutes driving data engineering innovation, examine the country’s data-focused ecosystem, and outline the career paths that can lead you to success in this vital discipline.

Shadowing and Mentorship in Data Engineering: Gaining Experience Before Your First Full-Time Role

Introduction Data engineering has emerged as a critical and fast-growing field in today’s business landscape. With organisations across every industry striving to collect, organise, and derive insights from massive volumes of data, the demand for talented data engineers continues to surge. These professionals design and maintain the frameworks that power data pipelines, ensuring that large datasets can be processed efficiently, securely, and accurately to support analytics and machine learning initiatives. Despite the expanding opportunities, breaking into data engineering can be challenging—particularly if you lack hands-on experience with real-world systems. Even those who have completed relevant degree programmes, bootcamps, or online courses often find themselves seeking more practical knowledge and industry exposure. That’s where shadowing and mentorship become pivotal. Observing seasoned data engineers at work and receiving guidance from mentors can fast-track your learning, helping you bridge the gap between theoretical knowledge and the daily realities of data infrastructure. This article explores how to identify mentors, build productive mentor-mentee relationships, and engage in shadowing opportunities that deepen your technical and professional skills. From landing an internship to leveraging online communities, we’ll cover actionable strategies to strengthen your profile and confidently pursue your first full-time role in data engineering.