Senior Finance Insights Analyst

Job description

Job Ref ID

JR0088527 YOUR MISSION At Glovo, we are looking for a hands-on, analytical Finance Insights Sr. Analyst to join our Finance Performance department at our Barcelona headquarters, reporting directly to the Finance Insights Manager. In this role, you will safeguard the accuracy and delivery of our core financial reporting packages across month-end closing windows, maintaining the single source of truth for metrics like GMV and Contribution Margin across all Glovo countries.

Beyond recurring reporting, you will serve as the hands-on automation and AI champion for the team—building automated data pipelines, Looker models, and workflow automations that eliminate manual tasks and elevate business decision-making. THE JOURNEY Own the end-to-end execution of Glovo’s internal financial reporting package, ensuring zero-defect delivery across strict month-end deadlines Maintain and defend the logic for core business metrics (GMV, Contribution Margin, unit economics), ensuring consistency across financial statements, dashboards, and regional reports.

Partner closely with Fintech Data and BI engineers to design, test, and troubleshoot data models, SQL queries, and Looker dashboards to eliminate reporting lag. Build practical automation solutions using SQL, Python, workflow automation tools (Make, Zapier, RPA), and AI tools to eliminate recurring manual data preparation across the department. Move beyond reporting numbers by analyzing variances, drilling into order-level unit economics, and delivering clear data cuts to support HQ FP&A and Local Finance decisions.

Serve as the operational translator between business finance teams and technical engineering teams, resolving logic bottlenecks and rolling out schema updates for new product features.

Qualifications

WHAT YOU WILL BRING

TO THE RIDE 3+ years of hands-on experience in Finance, Business Intelligence, or Analytics within high-growth, tech, or marketplace environments. Advanced SQL skills (complex joins, window functions, query optimization) and hands-on experience with BI/visualization platforms (Looker, Tableau, or PowerBI). Solid understanding of P&L mechanics, unit economics (Contribution Margin, per-order economics), and month-end closing processes.

Demonstrated track record of building automated reports, scheduled data pipelines, or automated validation checks. Practical mindset for workflow automation and AI adoption (e.g., using AI tools/assistants, RPA, Make/Zapier) to streamline daily workflows. Strong collaborative communication skills, with proven ability to translate between business finance stakeholders and technical data engineering teams.

NICE TO HAVE

Scripting experience in Python for data manipulation and task automation. Prior experience in on-demand delivery, e-commerce, or multi-sided marketplaces. Baseline familiarity with enterprise planning platforms (Anaplan, OneStream) or ERP systems (SAP).