Data Analyst

ABOUT US
Factor Eleven is the leading drive-to-store revenue platform for brick-and-mortar retailers and CPG brands. Our platform automates the entire lifecycle of digital promotion communication — from media planning and ad creation through campaign delivery, billing, and reporting. Operating as a high-touch enterprise managed service, humans orchestrate campaign strategy while our platform automates execution, driving tangible store revenue uplift at scale.

YOUR MISSION

As a Data Analyst Commercial, you are the analytical backbone of our Commercial organization. You own the processing, validation, and interpretation of customer revenue and campaign performance data, transforming complex datasets into clear, evidence-based insights that directly support commercial decision-making and client success.

Working closely with Commercial VPs, Retail Experts, and cross-functional partners, you ensure that our Commercial Framework delivers accurate, transparent, and scalable performance analyses. Your work enables us to demonstrate measurable store revenue uplift, strengthen long-term client relationships, and continuously improve how data supports our commercial growth.

Beyond delivering analyses, you actively identify opportunities to automate recurring workflows, improve data quality, and build scalable analytical processes that elevate the maturity of our Commercial function.

YOUR RESPONSIBILITIES

• Own the end-to-end processing, validation, and analysis of customer revenue and campaign performance data across multiple retail clients.

• Measure and evaluate campaign effectiveness by analysing store revenue uplift, campaign periods, and print versus digital performance using our Commercial Framework.

• Translate complex analytical findings into clear, client-ready insights and recommendations that support Commercial VPs and Retail Experts in customer conversations.

• Build recurring reports, dashboards, and performance analyses that provide transparency on campaign success and commercial performance.

• Ensure the accuracy, consistency, and reliability of datasets through structured quality assurance and validation processes.

• Continuously improve and automate recurring analytical workflows by developing templates, scripts, and scalable reporting solutions using modern analytical tools.

• Collaborate closely with Commercial, Tech, and Data Engineering teams to improve data availability, reporting quality, and analytical efficiency.

• Support the preparation of client presentations and commercial business cases by providing robust, evidence-based performance analyses.

• Identify opportunities to optimize existing analytical processes and contribute to building scalable structures that support F11's continued growth.

• Act as the commercial data expert, helping non-technical stakeholders understand analytical methodologies and performance drivers in a simple and actionable way.

WHO YOU ARE

We welcome different career paths, including:

• 2–4 years of experience in Data Analytics, Commercial Controlling, Business Intelligence, or a comparable analytical role.

• Experience in retail, FMCG, trade marketing, media, AdTech, or another commercial environment where data is used to measure business performance.

• Advanced Excel skills and confidence working with large datasets; experience with SQL is required, while Python or BI tools are a strong advantage.

• Strong analytical capabilities with the ability to independently structure, process, validate, and interpret complex commercial datasets.

• Experience translating analytical results into actionable business recommendations rather than simply reporting numbers.

• Strong understanding of KPIs, campaign performance measurement, commercial controlling, and performance reporting.

• A structured, detail-oriented, and quality-focused way of working combined with a high level of ownership and accountability.

• A proactive mindset with a genuine interest in improving processes through automation, AI, and scalable analytical solutions.

• Comfortable working in a fast-paced, evolving environment where building new structures and continuously improving existing processes is part of the role.

• Native German skills and fleuncy in English.