Data Analyst

EG Group
Blackburn, England
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Treasury Back Office Analyst

Ocado United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland
Posted
14 Nov 2025 (6 months ago)

Role: Data Analyst

Location: Blackburn BB1 2FA (Relocating to Bolton)

Contract: Full-Time / Permanent

Salary: Up to £40,000 Dependent on Experience & Discretionary Bonus Scheme

Company: EG Group


*This is an office based role 5 days a week*



About the Role:

We are seeking a highly skilled and detail-oriented Analyst with experience in Excel, Power BI, SQL, and Python. The ideal candidate will have a strong background in strategy building, site analysis, and business intelligence, helping us derive actionable insights to drive strategic decisions and optimise our pricing/wetstock models. This role also requires strong business partnering skills, as the analyst will work closely with multiple stakeholders across the business and provide key support to the in-country operations team.

Reporting into the Head of Fuel, this position offers a unique opportunity to collaborate with cross-functional teams, resolve fuel management issues, and contribute to system optimisations. If you have a strong analytical mindset and a passion for enhancing fuel operations through data-driven insights, we encourage you to apply today!


What you’ll be doing:

  • Analyse fuel data to identify trends, patterns, and insights that support pricing and business objectives.
  • Develop, maintain, and optimise Power BI dashboards and Excel reports to deliver clear, actionable insights on fuel performance and market trends.
  • Use SQL and Python for data extraction, processing, automation, and advanced analytics to enhance pricing competitiveness.
  • Conduct site and market analysis to determine optimal pricing strategies and improve profitability.
  • Collaborate with cross-functional teams and stakeholders to align analytical solutions and pricing strategies with overall business goals.
  • Monitor fuel levels, deliveries, consumption, and variances using automated wet stock systems to ensure operational efficiency.
  • Provide senior management and operations teams with data-driven insights, forecasts, and visual reports to support decision-making.
  • Ensure data accuracy and integrity through robust validation and quality checks.
  • Continuously seek opportunities to improve data processes, reporting efficiency, and strategic decision-making.
  • Present findings and lead discussions with stakeholders in a clear, concise, and engaging manner.


This list is not exhaustive and may be added to or amended from time to time.


What we’re looking for:

  • Bachelor’s degree in business, Data Analytics, Logistics, or a related field (or equivalent experience).
  • Proven experience in an analytical role, such as strategy development, market analysis, or business performance.
  • Strong proficiency in Power BI (or similar BI tools) for building dashboards, reports, and data models.
  • Advanced Excel skills, including pivot tables, macros, and complex formulas.
  • Proficiency in SQL for querying and managing large datasets.
  • Experience with Python for data manipulation and automation is an advantage.
  • Knowledge of statistical analysis or machine learning concepts is a plus.
  • Strong analytical, problem-solving, and critical-thinking skills, with the ability to translate data into actionable insights.
  • Excellent communication and presentation skills, capable of explaining technical concepts to non-technical audiences.
  • Demonstrated ability to work independently, take initiative, and develop innovative solutions.
  • Effective collaborator with strong business partnering skills and experience supporting operations teams.
  • Comfortable working in a fast-paced environment with shifting priorities


Why Join EG Group:

  • Performance Based Bonus Scheme
  • Flexible working hours (8am – 10am start, 8-hour working day)
  • Access to Apprenticeships and accredited qualifications
  • Career development and progression opportunities within a global organisation.
  • Free Secure Car Parking
  • Waterside Café - freshly prepared meals at affordable prices
  • Dress Down Fridays
  • Prayer and Ablution Facilities
  • Work Anniversary Rewards
  • Free Eye Test


Who are EG Group?

EG Group is a leading global convenience retailer, operating a wide range of brands across multiple sectors including fuel, foodservice, and grocery retail. With a presence in over 7 countries and a commitment to innovation and customer service, EG Group continues to expand its portfolio and reach. Our company is focused on delivering value to its customers, partners, and stakeholders through efficient operations and strategic growth.


Please note - the successful applicant will be subject to a DBS check which will be funded by EG Group

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.