Data Analyst

Filton
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

The Role

A data analyst / developer is required to work within a Planning environment to advise and assist in the construction of reports and dashboards to benefit a diverse range of stakeholders. The successful applicant will help accelerate the development of a BI project that will bring stakeholders together, offering fresh insights and transforming the decision-making processes within a complex Project Planning and Reporting environment.

Role Requirements:

Not limited to...

The toolset being utilised is anticipated to be Microsoft PowerBI but skills in alternative toolsets e.g. Tableau; will be considered and knowledge of 'back-end' database query languages will also be advantageous.

Report Development: Design, develop, and maintain interactive and insightful Power BI reports tailored to meet the specific needs of a diverse range of defence stakeholders.
Data Integration: Collaborate with cross-functional teams to gather, transform, and integrate data from various sources, including planning systems and engineering data sources.
Data Modelling: Develop robust data models to ensure efficient data storage, retrieval, and analysis within Power BI using DAX.
Performance Optimization: Implement optimizations to enhance overall responsiveness, ensuring that the user experience is satisfying.
Custom Visuals: Leverage Power BI's capabilities to create custom visuals and incorporate advanced analytics to provide deeper insights.
Data Governance: Establish and enforce data governance policies, including data validation, security and access controls to maintain data integrity and confidentiality.
Automation and Scheduled Reporting: Advise on how automated data refresh schedules and distribution of reports might reduce manual effort and ensure timely access to critical information.
User Training and Support: Provide training and support to end-users, enabling them to effectively utilize Power BI for data exploration and reporting.

What BAE Systems are looking for from you:

Proven experience in developing dashboards and reports in PowerBI or similar, ideally within a complex integration planning scenario.
Knowledge of planning processes and defence industry-specific knowledge is a plus.
Strong analytical and problem-solving skills are essential. Data sources are not highly complex, so detailed SQL knowledge is not considered essential. However the applicant will have the freedom to advise how more complex techniques could benefit the scenario.
Excellent communication and interpersonal skills for effective collaboration with cross-functional teams and interpretation of stakeholder requirements.
Information Gathering.
Pride in quality of work.
Diplomacy and Influencing skills

Security Requirements: SC & UK EYES ONLY

This role will require the person to hold full Security Clearance (SC) prior to working onsite. You will need to obtain a BPSS check as part of this process. You must currently hold or be eligible and willing to obtain SC and you must be eligible to work in the UK without sponsorship and have lived and worked in the UK for a minimum 5 year period. If you are unsure as to whether you are eligible, please contact me to discuss.

Furthermore, you must be a sole British national in order to apply to this role.

The Umbrella rate quoted above is the Gross Umbrella rate (i.e. the rate we pay to the Umbrella Company inclusive of ALL employment costs). Please note, the rate paid by the Umbrella will be less, as will a Limited Deemed rate or Agency PAYE rate. Please get in touch to discuss the rates via these different payment vehicles

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.