Data Analyst

Stevenage
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

We are recruiting for a Facilities Management Data Analyst for a leading Defence organisation based in Stevenage,
This is a hybrid role with 1-2 days a week on site.
Ideally you will have current SC Clearance, if not you must be eligible to obtain it.

We have a fantastic opportunity for a Data Analyst to join our Facilities Management Team who are on their journey of migrating from and consolidating existing core systems /data to new systems /platforms. This role will help identify, recommend and undertake in-depth explorative data analyses to identify interesting trends and actionable insights, which can help the Facilities Team in making data driven decisions and driving operational performance. 

The role will report into the FM Systems and Commercial Manager, you will be embarking on several data activities. These data activities will involve analysis to cleanse and improve the current state of the data and other Data quality related issues like, Data Modelling, Data Lineage, Classification of data, Standardisation of Reference and Master Data across systems.

You will present data and insight in reports, dashboards, and presentations and will be key in turning data into decision-making and action. You will help support Facilities in developing the data culture through creation of data reports. Working closely and in collaboration with our FM Operations Team, driving data quality, supporting decision-making and strategic planning for facility projects.

You Will : 

Analyse large volumes of complex data throughout the entire data lifecycle and identify issues and opportunities
Tailor the message for different stakeholders
Carry out root-cause analysis for data errors, trend analysis, gap analysis and impact analysis on various datasets and make recommendations where necessary
Understand and map key data requirements from the Facilities Management Team and wider business stakeholders.
Producing ad-hoc reports and data visualisation requests
Define and put in place data quality metrics and controls across the operational data systems to monitor data quality
Provide technical expertise and acting as first point of contact for analytics queries from non-data-oriented colleagues, whilst also providing guidance on where analysis can help them in their day to day roles 
What you will bring to the role:

Strong stakeholder management & communication skills, able to tell a story with the data 
A keen interest in data and analytics and how they can improve people’s experiences at work
A curious, creative and collaborative mind-set that seeks to learn from feedback and improve continuously
Advanced Excel & SQL - ability to read , write and execute and understand the key concepts
Experience of Business Intelligence tools e.g. Power BI  for Reporting and Visualization
An understanding and interest in Facilities Management and building data sources such as BMS, utility usage, office occupancy and space/resource management, maintenance schedules and asset management
Experience working within a Delivery / Property Services or Facilities Management environment (desired but not essential) 
This is an umbrella contract, the role is Inside IR35

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.