EMEA Revenue Analytics Lead — Automated Dashboards

Michael Page

Zürich

Hybrid

CHF 120.000 - 180.000

Vollzeit

Vor 8 Tagen
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Zusammenfassung

Michael Page is seeking an experienced Data Analyst for an urgent interim assignment in Zurich. The role focuses on building an automated EMEA revenue dashboard and delivering analytics solutions across channels, with a strong emphasis on data quality and governance.

You will partner with Finance, Commercial Analytics, and Data Engineering to deliver scalable models and executive-facing dashboards, in a hybrid Zurich setup (2-3 days onsite) for a 20-week engagement.

Qualifikationen

  • Bachelor's or Master's in a quantitative discipline such as Data Analytics, Mathematics, CS, Economics, Finance.
  • 5+ years in Data Analytics, BI, Commercial Analytics or Financial Analytics environments.
  • Strong SQL and advanced analytics capabilities, with experience in dashboards.
  • Experience designing semantic layers and scalable data models for BI platforms.

Aufgaben

  • Lead 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 needs.
  • Create dashboards and visualisations for senior stakeholders and leaders.
  • Translate business requirements into analytics solutions with close stakeholder engagement.
  • Drive automation to improve reporting efficiency and data accessibility.
  • Ensure data quality, governance, and reporting accuracy.
  • Collaborate with Finance, Commercial Analytics, Data Engineering and stakeholders.

Kenntnisse

SQL
Advanced analytics
Communication

Ausbildung

Bachelor's or Master's in a quantitative discipline

Tools

Looker
BigQuery
GCP

Jobbeschreibung

Michael Page is seeking an experienced Data Analyst for an urgent interim assignment in Zurich. The role focuses on building an automated EMEA revenue dashboard and delivering analytics solutions across channels, with a strong emphasis on data quality and governance.

You will partner with Finance, Commercial Analytics, and Data Engineering to deliver scalable models and executive-facing dashboards, in a hybrid Zurich setup (2-3 days onsite) for a 20-week engagement.

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