Data Analyst

Euro Garages Limited; Blackburn; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading global convenience retailer is seeking a highly skilled Data Analyst to enhance fuel operations through data-driven insights. The ideal candidate should have a solid background in Excel, Power BI, SQL, and Python, with proven analytical skills. This full-time role involves collaborating with multiple stakeholders and optimizing pricing models. Competitive salary offered with performance-based bonuses and various benefits.

Benefits

Performance-Based Bonus Scheme

Access to Apprenticeships and Accredited Qualifications

Free Secure Car Parking

Career development opportunities

Dress Down Fridays

Qualifications

• Proven experience in an analytical role.
• Strong proficiency in Power BI and Excel.
• Experience in querying and managing datasets using SQL.

Responsibilities

• Analyse fuel data for pricing support.
• Develop Power BI dashboards for insights.
• Use SQL and Python for data extraction and automation.

Skills

Excel

Power BI

SQL

Python

Analytical Skills

Communication Skills

Education

Bachelor’s degree in Business, Data Analytics, Logistics or related field

Tools

Power BI

SQL

Advanced Excel

Python

Job description

Data Analyst – EG Group

Location: Blackburn BB1 2FA (Relocating to Bolton)

Contract: Full-Time / Permanent

Salary: Up to £40,000 per annum, discretionary bonus scheme

Company: EG Group

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 and wet‑stock models. This role also requires strong business partnering skills, working closely with multiple stakeholders across the business and providing 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!

Key Responsibilities

• 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.

Qualifications

• 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.

Benefits & Perks

• Performance‑Based Bonus Scheme
• Access to Apprenticeships and Accredited Qualifications
• Career development and progression opportunities within a global organisation.
• Free Secure Car Parking
• Dress Down Fridays
• Prayer and Ablution Facilities
• Work Anniversary Rewards
• Free Eye Test

About 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.

Seniority Level

Mid‑Senior level

Employment Type

Full-time

Job Function

Information Technology

Industries

Retail