National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Business Intelligence

EG On The Move
Blackburn
7 months ago
Applications closed

Related Jobs

View all jobs

Deputy Head of Data Engineering

Data Engineer

Head of Data Engineering & Analytics

Senior Data Scientist

Financial Data Analyst

Head of IWR Data Engineering and Enablement

Role: Head of Business IntelligenceLocation: Blackburn, BB1 2FAJob Type: Full time PermanentSalary: Up to £80,000 (Dependant on Experience)Company: EG On The MoveAbout the role:We are seeking a talented Head of Business Intelligence to join our team and drive insights into our business operations. Reporting to the Director of FP&A and Commercial Strategy, the Head of BI will play a pivotal role in leveraging data to support strategic decision-making and optimise business performance. The ideal candidate will have strong expertise in business intelligence, data management, and a keen understanding of the forecourt and foodservice sector.Key responsibilities:Data Management and Governance:Develop and implement data management processes and governance frameworks to ensure the accuracy, consistency, and reliability of business dataOversee data acquisition, integration, validation, and cleansing processes to maintain high-quality data assetsCollaborate with IT teams to optimize data storage, retrieval, and security infrastructureBusiness Intelligence Development:Lead the design, development, and maintenance of business intelligence solutions, including dashboards, reports, and data visualisationsTranslate business requirements into technical specifications for BI tools and solutions(specifically Power BI)Implement best practices for data visualisation and storytelling to effectively communicate insights to stakeholdersExpertise in data modelling in analytic workloadsData Analysis and Insights:Conduct advanced data analysis to uncover trends, patterns, and insights that drive business performance and inform strategic decision-makingDevelop predictive models and machine learning algorithms to forecast business outcomes and identify opportunities for optimisationCollaborate with cross-functional teams to understand business needs and deliver actionable insights through data-driven recommendationsPerformance Monitoring and Reporting:Establish KPIs and performance metrics to track business performance and monitor progress towards strategic objectivesPrepare regular performance reports and executive dashboards for senior management and key stakeholdersProvide deep-dive analysis and root cause identification for variances and trends in business performanceTeam Leadership and Collaboration:Lead a team of BI analysts, providing guidance, coaching, and professional development opportunitiesFoster a collaborative and high-performance culture within the BI team, promoting innovation, continuous improvement, and knowledge sharingCollaborate with cross-functional teams, including finance, operations, marketing, and IT, to align BI initiatives with business prioritiesThis list is not exhaustive and may be added to or amended from time to time.Essential:Proven experience in business intelligence, data management, and analytics, preferably in the retail or consumer goods industry, with exposure to the forecourt sector being advantageousStrong expertise in Power Bi and technologies, with proficiency in SQL, Python, or R for data analysis and manipulationExperience in data modelling, data warehousing, and ETL processesExcellent analytical and problem-solving skills with the ability to translate complex data into actionable insightsStrong leadership and interpersonal skills with the ability to influence and collaborate effectively with stakeholders at all levels of the organisationGood To Have:Qualification in Computer Science, Information Systems, Statistics, or related field; advanced degree preferredExperience in the retail or consumer goods industry, with exposure to the forecourt sector being advantageousKnowledge or exposure to Microsoft Azure, Synapse Analytics & PySparkWhats in it for you?Join EG On the Move and unlock a world of exciting opportunities and rewards!15% Food to Go Discounts Greggs, Starbucks, Subway, Cinnabon, Chaiiwala & SbarroEmployee Assistance programMental wellbeing and supportFinancial wellbeingLife coachingLegal AssistanceLife insuranceRetail DiscountsLearning & Development OpportunitiesBereavement support & Compassionate leaveWork Anniversary Recognition RewardsFree Eye TestBe a part of it:Ready to take the next step in your career with EG On the Move? If you have a combination of the required skills and you're keen to take the next step in your career, we would love to hear from you!Who Are EG On the MoveEG On the Move is a leading UK-based petrol forecourt and convenience retailer, headquartered in Blackburn, Lancashire. Formerly part of the EG Group, the company operates a vast network of stores offering a range of products and services, including fuel, foodservice, grocery, and merchandise. Known for integrating traditional fuel services with modern retail conveniences, EG On the Move features state-of-the-art EV charging stations and partners with leading food brands like Starbucks and Subway. Their strategic locations and focus on sustainability and customer convenience position them as market leaders, committed to innovation and excellence in the retail sector.TPBN1_UKTJ

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.