In this role, you are required to review and analyze a broad spectrum of business and market data, as well as create and manage ongoing reports and visualizations that help stakeholders make data-informed decisions to deliver on revenue targets and objectives.

Other responsibilities will be inclusive of, but not limited to the following:

• Gather, analyze and report a broad spectrum of Cargo data and information at different granular levels (e.g., O&D, customer segment, etc.) and different measures (i.e., revenue, yield, chargeable weight, capacity, load factors, etc.).
• Build and maintain a deep understanding of the competitive landscape, collaborating with relevant stakeholders including RM, NP, Global Sales to identify and evaluate the challenges and opportunities QR Cargo face across different areas of the business, and the unique position, weaknesses and strengths of QR Cargo.
• Generate and present information and findings in commercial meetings and be able to provide answers related to revenue development, business performance, competitors’ performance and market trends.
• Build regular reports, visualizations (i.e., dashboards) and documentations to ensure those are up-to-date, error-free and accessible to relevant users.
• Assist the Business Insights Manager in duties related to managing the forecast process including managing data requirements and gathering input from key stakeholders.
• Build relationships with mid-management stakeholders to understand and provide guidance around data and reporting requirements, to deliver those where applicable.
• Support in building a culture of data-driven decisions across QR Cargo by monitoring usage of reports and visualizations and communicate the value of data and insights across the network.
• Keep up to date with industry best practices and development in the area of market and business insights and embed learnings into QR Cargo processes.
• Develop tools and processes for enhancing data analysis and insights best practices in QR Cargo.

Qualifications

• Bachelor’s degree or equivalent
• Good Analytical skills
• Ability to review and understand complex financial and statistical concepts.
• Advanced skills in Microsoft Excel, Word, MS Access and Power Point.
• Advanced skills in Tableau or Power BI are preferred