senior business insights analyst

At efood, performance is everything — and behind every smart decision, there’s a great analyst. We’re looking for a Business Analyst – KPIs to join our team and turn numbers into clarity.

If you are enjoying diving deep into data, uncovering hidden insights, and using compelling storytelling to drive impactful business decisions, then you are exactly who we are looking for.

Key Responsibilities:

• Track and analyze key performance indicators (KPIs) across multiple business areas (e.g., operations, logistics) which drive performance. Collaborate with cross-functional teams to define and refine KPI structures based on evolving business needs.

• Conduct independent, robust data analysis to uncover trends, opportunities, and areas for improvement. Leverage analytics to drive insightful decision-making.

• Proactively identify business hypotheses and opportunities through standalone analysis and initiative.

• Develop and maintain dashboards and reporting tools to monitor performance metrics in real time.

• Identify performance trends, inefficiencies, or deviations from targets — and present actionable insights to stakeholders.

• Collaborate with cross-functional teams to define and refine KPI structures based on evolving business needs.

• Support quarterly and monthly business reviews with accurate, data-backed reporting.

• Ensure data accuracy and consistency, and help improve data flows and reporting automation.

• Maintain an understanding of market trends and industry developments to enhance analytical relevance.

What you need to be successful

• BSc in Business, Economics, Mathematics, Statistics, Engineering or a highly analytical  related field.

• 3+ years of experience in an analytical role focused on performance monitoring, insights generation, data science or business intelligence.

• Experience using SQL, Looker, Python (or similar BI tools) to acquire, manipulate and present create data visualizations and reports.

• Demonstrated experience conducting end-to-end analytical projects. Proven experience in geospatial data analysis. Data fluency and ability to connect the dots.

• Excellent data visualization skills, adept at simplifying complex information for diverse audiences.

• Strong understanding of data querying & joining, statistical modelling and predictive analytics techniques & basic statistical concepts (e.g., distributions, variance, correlation).

• Outstanding communication skills with the ability to engage and influence at multiple levels.

• Fluency in English and strong communication skills — both written and verbal.