Senior Project Professional - Data Analyst

Barrow in Furness
1 year ago
Applications closed

Related Jobs

View all jobs

Research Data Analytics Expert

Research Data Analytics Expert

Research Data Analytics Expert

Research Data Analytics Expert

Research Data Analytics Expert

Research Data Analytics Expert

Our client, a prominent organisation within the Defence & Security sector, is currently seeking a Senior Project Professional - Data Analyst to join their team on a 6-month contract basis. This role will be focused on Planning within the Engineering discipline and based in Barrow-in-Furness. This position requires you to be on-site for three days each week and is subject to ITAR and UK eyes only regulations.

Key Responsibilities:

Able to perform intermediate project reporting & scheduling.
Able to undertake intermediate problem solving typically based on previous experience.
Have a good knowledge of Business processes and procedures.
Administration and general office skills including spreadsheets/ Microsoft packages.
Ability to analyse schedule and risk data.
Ability to produce analytical presentations and must have good IT Microsoft skills in Excel and PowerPoint.
Interpretation of schedule data and able to articulate trends and variances.
Knowledge share with junior members of the project team.
Graphical presentations.
Able to lead the PM&C processes on a small non-complex project or a work package of a larger project.

Job Requirements:

Proficient in Microsoft toolset.
Scheduled Data or Risk analyst.
Problem solving most likely to apply in an existing Business environment.
Good understanding of the structure, organisation, processes and culture of Line of Business, so as to be able to support implementation of appropriate PM&C approaches.
Applies problem solving techniques to routine situations or situations of moderate complexity under limited supervision, in the field of PM&C, taking requirements and data from internal (project) sources and external (customer, competitor and academic) areas.
An ability to gather information. Supports development of solutions and of implementation approaches.
If you are an experienced Data or Risk Analyst, particularly within the Defence & Security sector, we encourage you to apply now. Join our client's dynamic team in Barrow-in-Furness and contribute to vital engineering projects within this critical industry

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.