National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

hays-gcj-v4-pd-online
Salisbury
1 week ago
Create job alert

Your newpany

We have partnered with Landmarc, the leading Industry Partner for the Defence Infrastructure Organisation (DIO), managing and maintaining the Defence Training Estate (DTE). With a new 10-year contract (TESC) with DIOmencing from 2024, they are at the forefront of delivering exceptional services. Their Information and Technology Department is crucial in supporting our mission by delivering, supporting, and maintaining all user-facing IT services, enabling their team to excel in their roles.

Your new role

Are you passionate about transforming data into meaningful insights that drive real business impact? At Landmarc, they’re looking for a talented and detail-oriented Data Analyst to join their growing team. This is a fantastic opportunity to work in a dynamic environment where your analytical skills and curiosity will help shape smarter decision-making across the business.

As a Data Analyst at Landmarc, you’ll play a key role in enhancing our data models, reports, and dashboards. You’ll work closely with stakeholders to understand their data needs and deliver insights that support strategic and operational goals. Your responsibilities will include:

Designing and improving data models, reports, and dashboards to support business functions.

Efficiently handling large datasets and transforming them into usable formats.

Performing in-depth data analysis using tools such as Power BI, Excel, and SQL.

Identifying trends, patterns, and opportunities for business improvement.

Engaging with stakeholders to gather requirements and deliver tailored insights.

Supporting the business in resolving data quality issues and improving data integrity.

Preparing monthly performance reports and ad hoc analysis.

Training end users on how to effectively use dashboards and reports.

Driving process improvements and identifying opportunities for more effective data usage.

What you'll need to succeed

To be successful in this role, you’ll need a solid foundation in data analysis, backed by a few years of hands-on experience in a similar position. You should be confident in applying data analysis techniques and best practices to real-world business challenges. Proficiency in Power BI is essential, as is the ability to work with large datasets using advanced Excel functions. Your analytical mindset and attention to detail will enable you to transform raw data into meaningful insights that support strategic decision-making across the business.


While not essential, a degree in a business, statistical, or analytical discipline would be advantageous, as would familiarity with APIs, ETL processes, and GIS tools. Experience working alongside Data Engineers or within a broader data team will be highly valued, as will knowledge of SQL and/or Python for more advanced data manipulation. The ideal candidate will not only meet the technical requirements but also demonstrate the behaviours and values that align with Landmarc’s collaborative and insight-driven culture.

What you'll get in return

25 days holiday allowance (exc bank holidays)

Additional 3-4 day shutdown at Christmas (depending on armed forces requirements for use of estate)

Holiday purchase window, up to 10 additional leave days p/a. With maximum leave allowance of 35 days in a calendar year (exc bank holidays and Christmas shutdown).

Life assurance is offered at 3x annual salary

Employees can apply for flexible working patterns

Worksave pension scheme with min 4% employee contribution which is matched by the employer. Contributions are matched up to 7%

SmartGoemployee benefit

24/7employee assistance programme /well-being service via Health Assured

Up to 2 days per year volunteering which is in addition to annual leave

‘Landmarc Connect’ mobile app which will allow employees to accesspany information, network with colleagues in other regions, receive thanks and recognition and stay up to date withpany news.

Staff recognition awards scheme with nominations/awards half yearly. These are split across exemplary service or directorsmendation (the latteres with a discretionary financial award for successful nominees)

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.