(Senior) Commercial Analyst (all genders) at Zalando
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

02 Dec, 25

Salary

0.0

Posted On

03 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT THE TEAM

Join the Business Intelligence Analytics team, a vital part of the Business Steering, Reporting & Insights unit. We are the data backbone of ZMS, responsible for building and maintaining the data and reporting landscape that drives strategic decisions. Our team bridges the gap between Commercial Analytics and BI Engineering, ensuring data accessibility and clarity for both analysts and non-analysts across the organization. We are passionate about transforming raw data into actionable insights through curated data tables and user-friendly self-service BI tools.
The team is already well equipped with analytical expertise focused on various data topics and on top of that we are currently looking for a BI Analyst who will be responsible for enhancing the existing revenue steering & reporting data infrastructure.

Responsibilities
  • You will own integral parts of the Business Steering data and reporting landscape, including revenue KPIs, key ZMS Steering dashboards, with a strong focus on sales pipeline accuracy.
  • You will design and implement curated data tables and self-service BI tools, empowering users across the organization to access and utilize data effectively, while contributing to data modeling of the opportunity-to-cash process.
  • You will own and manage critical business attributes (from a partner, sales and financial perspectives) ), ensuring data integrity and consistency, and enhancing existing business logics for higher accuracy.
  • You will collaborate directly with Engineering and Product Management teams to ensure seamless data integration and accessibility, driving efficient data flow and improving sales pipeline predictability.
  • You will ensure data accuracy and quality, gather reporting requirements from stakeholders, and develop clear, effective data visualizations for actionable insights, aligning with the opportunity-to-cash data model.
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