Senior Data Analyst

Role Overview

• As a Senior Data Analyst in IT, this role strengthens ICEYE’s analytics and reporting across Finance, Operations, Product, and Engineering.
• The core purpose is to make data reliable, usable, and actionable—so leaders can move faster and with confidence.
• This role exists to reduce guesswork and ad-hoc reporting by building scalable data models, clear metrics, and intuitive dashboards.
• It also raises the overall standard of analytics through strong governance, documentation, and coaching, increasing trust and self-service across the organization.

Requirements

• Analytics is trusted and actively used for decision-making across Finance, Ops, Product, and Engineering. Senior stakeholders rely on standardized dashboards and models instead of ad-hoc analysis.
• Integrated, scalable data models significantly reduce manual and repetitive reporting. Priority dashboards are built on well-designed, governed data foundations rather than fragmented sources.
• Time from business question to actionable insight is materially reduced. High-impact use cases move from request to decision faster and with fewer iterations.
• Clear metric definitions and data standards are adopted across teams. There is alignment on core KPIs, improved data quality, and less debate over numbers.
• Data literacy and self-service adoption measurably increase. Stakeholders can confidently explore, interpret, and apply analytics outputs without constant analyst intervention.
• Advanced Data Modeling & Analytics Engineering Design and maintain scalable analytical data models aligned with governance and regulatory requirements.
• SQL & Modern Data Platforms Expertise Deep proficiency in SQL and experience working with platforms such as Databricks, Snowflake, or BigQuery.
• Python for Analytical Workflows Strong hands-on capability with Python (Pandas, NumPy, Jupyter) for data analysis, transformation, and exploratory analytics.
• Business Intelligence & Insight Communication Build intuitive dashboards using tools such as Tableau, Power BI, Looker, or Holistics, and translate complex analysis into clear insights for non-technical stakeholders.

Tech Stack

• BigQuery
• Numpy
• Pandas
• Python
• SQL
• Tableau

Benefits

• A job that matters in a dynamic Defense Technology and Earth Observation environment with a scale-up approach
• An independent role with a supportive and diverse work environment
• Occupational healthcare, occupational, and accident insurance
• A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.)
• Phone subscription with iPhone of choice
• Relocation support (i.e. flight tickets, accommodation, relocation agency support)
• Time for self-development, research, training, conferences, or certification schemes
• Inspiring and collaborating offices and silent workspaces enable you to focus
• Base salary range for this position is 6500
• 7500 EUR per month (gross) contingent on your experience level, and will be negotiated individually.