Data Analyst Commercial (Temporary) - All Genders
Munich, Bavaria, Germany · Full Time
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- Experience
- 2–4 yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 hours ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
Job description
About Factor Eleven
Factor Eleven is a leading drive-to-store revenue platform serving brick-and-mortar retailers and consumer packaged goods brands. Our platform fully automates the digital promotion lifecycle — from media planning and ad creation to campaign execution, billing, and reporting. Delivered as a personalized enterprise managed service, human experts guide strategy while automation drives measurable revenue growth in stores.
Key Role Mission
As the Commercial Data Analyst, you form the analytical core of our Commercial team. You will manage the entire process of handling, validating, and interpreting customer revenue and campaign performance data, converting complex datasets into clear, data-driven insights that aid commercial decisions and client outcomes.
Primary Responsibilities
- Manage entire data pipelines for customer revenue and campaign metrics across diverse retail clients.
- Analyze campaign impact by examining store revenue uplift, campaign timing, and print versus digital channel effects using our Commercial Framework.
- Present complex analysis results in a straightforward manner to support Commercial leadership and retail experts during client engagements.
- Create recurring reports, dashboards, and performance reviews that transparently showcase campaign success and commercial outcomes.
- Ensure datasets are accurate and reliable through rigorous quality checks and validation procedures.
- Develop automation solutions and scalable reporting tools leveraging modern analytical software to refine workflows.
- Work collaboratively with Commercial, Technology, and Data Engineering teams to enhance data quality and streamline analysis.
- Contribute to client presentation preparation and commercial case building by providing solid, evidence-based analytical support.
- Identify and implement process optimizations, supporting the development of scalable analytical frameworks that facilitate company growth.
- Serve as the commercial data expert, simplifying technical analysis concepts for non-specialist stakeholders.
Candidate Profile
- 2 to 4 years of experience in data analytics, commercial controlling, business intelligence, or a related analytical field.
- Background in retail, FMCG, trade marketing, media, AdTech, or comparable commercial settings with a focus on business performance metrics.
- Proficient in advanced Excel and comfortable handling extensive datasets; required SQL knowledge plus advantageous Python or business intelligence tool experience.
- Strong analytical aptitude to independently organize, clean, validate, and interpret complex commercial data.
- Expertise in transforming numeric data into actionable business strategies rather than just reporting findings.
- Solid grasp of KPIs, campaign measurement, commercial controlling, and performance reporting frameworks.
- Highly structured, precise, quality-conscious, with significant initiative and accountability.
- Proactive attitude towards process enhancement through automation, AI integration, and scalable analytics.
- Ability to thrive in a dynamic environment with ongoing process creation and improvement demands.
- Fluent in German (native level) and English.