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

Apply Now

Application and Reporting Lead

4Square Recruitment Ltd
Swindon
11 months ago
Applications closed

Related Jobs

View all jobs

Head of data engineering - remote

Data Analyst

Commercial Sales & Pricing Data Analyst - Global Leader

Voice & Data Analyst (Part-Time)

Data Analyst 12- 24 month FTC

Resilience Data Analyst

Application and Reporting Lead required for my client based near Swindon. A Lead Application and Reporting Specialist is sought by a forward-thinking company near Swindon for a hybrid permanent role, offering a salary of £50,000 to £70,000. Role Overview: You will oversee data-driven decision-making tools such as MI, BI, and data input solutions. You'll collaborate with Data Engineers, Data Architects, and business stakeholders, leading a team to ensure data integrity and actionable insights. This role requires strong technical acumen, leadership, and a strategic approach to align data solutions with business objectives. Key Responsibilities: Application, MI, and BI Leadership : Oversee the development and implementation of robust data products for MI and BI systems. Continuously drive innovation by enhancing data tools and improving accessibility. Provide expertise in data input, interaction, and consumption to drive business value. Introduce scalable solutions to manage and monitor data pipelines while ensuring data integrity across the organisation. Data Architecture & Management : Collaborate with Data Architects on the implementation of scalable and secure data pipelines. Design frameworks that integrate data governance principles and manage the data lifecycle effectively. Support semantic layer design to ensure data structures align with business objectives. Reporting & Analytics : Lead the development of reports and dashboards to deliver key business insights using Tableau and SQL Server. Engage stakeholders to understand their requirements, building frameworks to facilitate self-service data access. Work on the continuous improvement of existing MI/BI reporting frameworks, aligning them with evolving business needs. Stakeholder Engagement : Present complex data findings to non-technical stakeholders in a clear and accessible manner. Build strong relationships with key stakeholders across the business to align data governance strategies with business priorities. Regularly communicate with leadership to report on performance, KPIs, and opportunities for process improvement. Team Leadership : Manage and mentor a team of data developers and analysts, fostering a collaborative and innovative culture. Oversee workload priorities and ensure that deadlines for high-quality data products are met. Invest in team development by ensuring access to relevant tools and providing training opportunities. Process Optimization : Lead initiatives for process automation, data standardization, and continuous improvement in data governance practices. Ensure compliance with internal policies and external data regulations, including data protection and security. Collaborate closely with IT teams to ensure systems are optimized for data quality management and governance. Ideal Candidate Profile: Experience : 5 years in a leadership role in MI/BI, with proven experience in data management. Expertise in Tableau for interactive reporting and SQL Server for data extraction and transformation. Experience in data warehouse design, BI development, and data services is essential. Demonstrated ability to manage a team of data analysts and developers. Skills : Proficient in Tableau for creating intuitive dashboards and advanced SQL for data manipulation. Strong understanding of data governance, data quality management, and regulatory compliance. Ability to deliver actionable insights from complex datasets. Familiarity with other BI tools like Power BI, Pyramid, or ThoughtSpot, along with programming languages such as Python or C#. If you are a strategic thinker with technical expertise and leadership capabilities, this opportunity allows you to drive data excellence across a growing organisation.

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.