Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst/Engineer

Robert Half
The City
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst/ Engineer CGEMJP00313102

Analytical Data Engineer

Data Analyst

Data Analyst (Software Systems Test)

Data Analyst

Data Analyst

Robert Half have partnered with a leading financial services firm based in London who are looking for an experienced and highly skilled Data Analyst/Engineer to join their team. The ideal candidate will have a strong background in business intelligence, with specific expertise in Sage Intacct and Power B I. This role is critical in helping the senior leadership to make data driven decisions. This role is an initial 3 month day rate contract and to be considered for this opportunity you must have had experience working with Sage Intacct. Key Responsibilities: BI Solution Development: Design, develop, and implement comprehensive BI solutions that integrate data from Sage Intacct, SAP Concur, and other sources into Power BI for insightful reporting. Data Integration: Lead efforts to integrate financial, expense, and operational data from Sage Intacct and SAP Concur into a unified reporting framework within Power BI. Report Creation: Develop, maintain, and optimise Power BI reports and dashboards that provide clear, actionable insights tailored to the needs of the senior leadership team. Strategic Analysis: Analyse complex data sets to identify trends, risks, and opportunities that support business-critical decision-making at the executive level. Stakeholder Collaboration: Work closely with senior leadership and cross-functional teams to understand their data needs and provide tailored BI solutions that drive strategic outcomes. Qualifications: Experience: Minimum of 5 years of experience in business intelligence, with proven expertise in Power BI, Sage Intacct, and SAP Concur. Technical Skills: Strong experience with Sage Intacct for financial data management, reporting, and analysis. Knowledge of SAP Concur, particularly in expense data integration and reporting. Analytical Skills: Exceptional analytical and problem-solving skills, with a strong ability to synthesise large volumes of data into meaningful insights for decision-makers. Communication: Excellent communication and interpersonal skills, with the ability to present complex data insights to senior leadership in a clear and compelling manner. Business Acumen: Strong understanding of business operations, finance, and strategic planning, with the ability to translate data into business strategy. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website: roberthalf.com/gb/en/how-spot-recruitment-scams-and-protect-yourself

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.