Lead Reporting & Data Analyst – Group Controlling
On AG
Publication date:
13 November 2024Workload:
100%- Place of work:Zurich
In short
We are seeking a skilled and proactive Lead Reporting & Data Analyst to join our Group Controlling team. In this role, you will be at the forefront of transforming data into actionable insights that drive key financial decisions and operational improvements across the organization. Working closely with controllers, Data Platform / Data Engineering teams, and other cross-functional stakeholders, you will design, implement, and lead advanced data analysis initiatives to support financial performance management and strategic decision-making.
Your Mission
- Lead Data Analysis & Reporting Projects: Take ownership of end-to-end data analysis projects, from conceptualization to execution and delivery. You will be responsible for developing data models and visualizations that support the analysis of P&L, financial metrics, and operational efficiency.
- Stakeholder Collaboration: Partner with controllers, Data Engineering / Data Platforms teams, and business unit leaders to understand their data requirements. Translate these needs into data-driven solutions and actionable insights that align with business objectives.
- Data Model Development & Maintenance: Design, build, and maintain scalable, accurate data models that support financial reporting, budgeting, forecasting, and performance analysis across multiple dimensions of the business.
- Data Visualization & Reporting: Create intuitive and impactful data visualizations (dashboards, reports, etc.) that effectively communicate complex financial and operational insights to senior management and other stakeholders.
- Data Quality Assurance: Ensure the integrity and accuracy of financial and operational data by implementing data governance and Master Data Management processes. Monitor and maintain high standards of data quality throughout the analysis process.
- Continuous Improvement:Identify opportunities for process improvements and automation to streamline data workflows and enhance reporting capabilities.
- Contribute to the evolution of data analytics standards and best practices within the organization.