ASAP: Lead Data Analyst - Commercial Finance (m/w/d)
Michael Page • Zürich (Kreis 1) City, CH
Vor 8 TagenBewerben
Stellenbeschreibung
- Lead the design, build, and implementation of an automated EMEA omnichannel revenue dashboard
- Consolidate and analyse data across multiple commercial channels and markets
- Develop scalable data models and semantic layers to support reporting and analytics needs
- Create impactful dashboards and visualisations for senior stakeholders and business leaders
- Translate business requirements into actionable analytics solutions through close stakeholder engagement
- Drive automation initiatives to improve reporting efficiency and data accessibility
- Ensure high standards of data quality, governance, and reporting accuracy
- Partner closely with Finance, Commercial Analytics, Data Engineering, and business stakeholders to ensure successful delivery
- Bachelor's or Master's degree in a quantitative discipline such as Data Analytics, Mathematics, Computer Science, Economics, Finance, or similar
- 5+ years of experience in Data Analytics, Business Intelligence, Commercial Analytics, or Financial Analytics environments
- Strong expertise in SQL and advanced analytical techniques
- Proven track record building automated dashboards and executive reporting solutions
- Experience designing semantic layers and scalable data models for BI platforms
- Hands-on experience with data visualisation tools; Looker experience is highly advantageous
- Exposure to cloud data platforms, ideally GCP and BigQuery
- Strong understanding of commercial performance metrics, revenue analytics, and business KPIs
- Experience in retail and/or consumer goods is a strong plus
- Excellent communication skills with the ability to influence both technical and non-technical stakeholders
- Self-starter capable of delivering quickly in a fast-paced, project-driven environment
- 20-week interim assignment with immediate business impact
- Build an automated EMEA reporting solution
- High visibility with senior finance and analytics stakeholders
- Hybrid working model in Zurich (2-3 days onsite).