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

Apply Now

Data Analyst

EG Group
Blackburn
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Role: Data Analyst

Location: Blackburn BB1 2FA (location subject to change due to planned northwest office relocation)


Contract: Full-Time / Permanent


Salary: £30,000 - £40,000 Dependent on Experience & Discretionary Bonus Scheme


Company: EG Group

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


About the Role:


As EG Group continues to expand, we are seeking a highly skilled and detail-oriented Fuel Pricing 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 optimize pricing 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 optimizations. 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 pricing data to identify trends, patterns, and insights that support business objectives.


Develop, maintain, and optimize dashboards and reports in Power BI to provide clear and actionable insights on fuel pricing and market trends.
Utilize advanced Excel functions for data manipulation, trend analysis, and reporting.
Write and optimize SQL queries to extract and manage data from multiple sources. (Not a requirement)
Use Python for data processing, automation, and advanced analytics related to fuel pricing and market competitiveness.
Conduct site analysis to determine optimal pricing strategies and market positioning.
Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
Work closely with colleagues in the fuel department to help advise pricing suggestions that would further enhance profitability of the business.
Partner with various stakeholders across the business to align pricing strategies with broader company goals.
Provide key analytical support to the in-country operations team, ensuring data-driven decision-making.
Ensure data integrity and accuracy through thorough validation and quality checks.
Utilize strategic thinking and independent initiative to identify opportunities for pricing optimization.
Present findings to stakeholders in a clear, concise, and visually appealing manner.
Continuously seek opportunities to improve data processes, reporting efficiency, and strategic decision-making.
Lead meetings and present findings to stakeholders.

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 Experience qualified)


Proven experience with Power BI in building dashboards, reports, and data models for business analysis.
Proven experience in an analytical role, preferably in pricing, strategy building, or market analysis.
Strong proficiency in Excel, including pivot tables, macros, and advanced formulas.
Hands-on experience with Power BI (or similar BI tools) for data visualization and reporting.
Proficiency in SQL for querying and managing data.
Experience with Python for data manipulation, automation, and analysis.
Ability to work with large datasets and derive meaningful insights.
Strong problem-solving and critical-thinking skills.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Ability to work independently, using initiative to develop innovative pricing solutions.
Strong business partnering skills, with the ability to collaborate effectively with multiple stakeholders.
Experience supporting operations teams with analytical insights to enhance performance.
Experience working in a fast-paced environment with shifting priorities.
Knowledge of statistical analysis or machine learning concepts.
Industry knowledge in fuel pricing, energy markets, or retail fuel operations.

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.
ASDA Discount Card – 10% off all ASDA stores
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 9 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

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.