Business Analyst (Ref: 196800)

In collaboration with our client, we present an external recruitment perspective for a leader in convenience retail and fueling networks. This organization is focused on dependable service, efficient operations, and experiences that encourage recurring visits. The remit emphasizes scalable processes, data-informed decision making, and a customer-first mindset across busy traffic sites and neighborhood locations.

We seek a Business Analyst to bridge business needs with quantitative insight. The ideal candidate will evaluate performance, surface growth levers, and construct dashboards and models that guide decisions in merchandising, pricing, ops, and customer journeys. The role demands stakeholder rapport, rigorous analysis, and the ability to present crisp, executive-ready findings to both business leaders and on-site teams.

• Define clear problems and success metrics with business partners, translating them into concrete analytics requirements.
• Build and maintain KPI dashboards and operational reports spanning store activity, inventory, and revenue streams.
• Analyze data to identify trends, shifts, and drivers of performance; provide actionable recommendations backed by evidence.
• Create scenario models to forecast outcomes under different assumptions and constraints.
• Collaborate with IT and data teams to safeguard data quality, lineage, and accessible analytics assets.
• Present results in accessible language, converting insights into practical steps for business action.
• Support governance, privacy, and process enhancements to strengthen the analytics lifecycle.

• Bachelor’s degree in Business, Analytics, Statistics, Information Systems, or a closely related field; an MBA is advantageous.
• Minimum of two years’ experience in business analysis, data analytics, or similar roles.
• Proficiency in SQL and data visualization platforms (e.g., Power BI, Tableau).
• Strong analytical reasoning, problem-solving ability, and effective communication in a fast-paced, cross-functional setting.
• Familiarity with data governance, quality, and security practices is preferred.
• Discretion with confidential information and responsible data handling capabilities.

• Competitive base salary with annual performance review and potential bonus.
• Comprehensive medical, dental, and vision coverage for employees and dependents.
• Retirement plan with company matching and financial planning resources.
• Paid time off, holidays, and generous sick leave.
• Employee discounts on store goods and fuels; transportation stipends in select markets.
• Opportunities for professional growth and access to industry events and conferences.

Position is long-term and strategic, aimed at a steady, impact-driven professional seeking to elevate the analytics maturity of a retail network.