Project Manager - Land Data Strategy & Reporting (m/f/d)

General Responsibilities:

• Establish an effective and active Land Business Intelligence & Analytics community (virtual SPOC team) to ensure:
• Promotion of professional standards within the BI community, and opportunities for learning & development
• Internal alignment and community support, including flexible coverage for colleagues on leave
• Exchange / sharing of best practices
• Act as an internal point of contact and subject matter expert for Cross-functional Data & Reporting initiatives (e.g., OneBI, MDM, etc.)

• Evaluate Land Data & Reporting needs, identify & present recommendations to management and develop a comprehensive Reporting Roadmap, working with PDI and IT teams
• Develop & maintain a management-level overview of Land Reporting standards, including a catalogue of standard reports/KPIs (across all clusters and future TMS landscape)
• Drive design and development for new reports
• Oversee the offshoring of report creation where appropriate, and act as the main point of contact (SPOC) for SGBS in relation to Land reporting requirements

• Conduct an assessment of existing Land Data capabilities in co-operation with IT and PDI, and present data strategy recommendations (draft Roadmap) to management in relation to:
• Data Architecture (MDM, CTTS, SBI, Power BI, etc.)
• Reporting Standards
• Customer Visibility
• Data Quality
• Skills and Training
• Project manage design and implementation of agreed Data & Reporting Roadmap projects
• Identify data analytics possibilities, incl. Forecasting & AI models (e.g., Volumes projections and/or revenue & volume correlations)

Qualifications and Experience:

• Minimum 3-5 years’ experience in an Analyst or Business Intelligence role
• Familiarity with current Schenker Land reporting, data & systems
• Excellent understanding of function specific Land Transport business (e.g., Land Sales, terminal, etc.) and competence to translate to BI applications
• Fluent in English (spoken and written)
• Knowledge of data structures and analytic techniques
• High attention to detail, and track record of innovation
• Team player, with strong communication skills and the ability to translate technical topics for a non-technical audience