Data Analytics Expert

The company focuses on driving sustainable top‑line growth and operates with an entrepreneurial, collaborative culture that encourages ownership, innovation, and continuous development.

• Proven expertise in marketing analytics, including digital channel measurement, attribution, media mix modeling, and multi‑touch analysis
• Experience in B2B marketing analytics, ideally within a complex or international organization
• Strong proficiency with GA4, Google Tag Manager, CRM platforms (preferably Microsoft Dynamics), marketing automation tools (preferably ClickDimensions), and BI tools such as Power BI, Tableau, or Looker
• Advanced SQL skills and experience working with large datasets and cloud data warehouses (e.g., BigQuery)
• Ability to connect marketing performance data to commercial outcomes (pipeline, revenue)
• Strong communication skills, with the ability to simplify complex data for non‑technical internal stakeholders
• Experience in data governance and privacy compliance (GDPR, CCPA)
• Excellent project management skills and the ability to manage multiple initiatives simultaneously
• Fluent English (C1 or higher)

• Own the design, development, and ongoing management of the internal global marketing analytics framework across all digital channels (paid, owned, earned) and offline‑to‑online integrations
• Implement strategic integrations between internal reporting platforms to ensure seamless data flow and unified measurement
• Collaborate with the Head of Digital Strategy & Enablement to define KPIs, attribution models, and reporting standards for internal global campaigns
• Lead marketing data governance, ensuring consistent definitions, data quality, and integrity across CRM, marketing automation, analytics, and BI systems
• Manage dashboards and automated reporting pipelines that deliver actionable insights to internal global and regional teams
• Translate performance data into clear optimization recommendations (channel mix, targeting, content strategy)
• Develop segmentation and propensity models to enhance targeting and lead scoring
• Build and maintain tagging, tracking, and data integration frameworks for full‑funnel measurement
• Conduct ad‑hoc analyses to support internal campaign planning, forecasting, and ROI evaluation
• Partner with IT, sales operations, and finance to ensure alignment with compliance, commercial reporting, and revenue tracking
• Support experimentation initiatives by defining test design, control groups, and statistical methodologies