Senior Data Analyst (m/f/d)

We’re looking for a curious and hands-on Senior Data Analyst to help turn complex operational and sensor data into meaningful insights that drive smarter decisions across the business. In this role, you’ll work with large-scale time-series and event-driven datasets, building scalable analytics solutions, automations, and dashboards that improve visibility, reliability, and performance. From identifying anomalies and uncovering trends to supporting AI-ready data initiatives and operational investigations, you’ll play a key role in transforming raw data into actionable outcomes while collaborating closely with cross-functional teams across the organisation.

At our company, we're on a mission to change the world by revolutionizing the digital landscape. Our cutting-edge web and mobile applications are designed to enhance user experience and improve customer engagement, with quality and security at the core of everything we do.

We’re a fast-growing, purpose-driven scale-up where you’ll make an impact, feel empowered, and thrive in a diverse, innovative environment.

Why SkyCell?

· 🌱 Purpose-Driven Work: Make a real difference by contributing to a more sustainable future in global logistics and healthcare.

· 🚀 Innovation at Heart: Work with cutting-edge technology and be at the forefront of supply chain innovation.

· 🌎 Stronger together: Join a supportive team of talented individuals from over 40 countries, where we work together every step of the way.

· 💡 Growth Opportunities: We believe in investing in our people – continuous learning and development are key pillars of SkyCell.

· 🏆 Award-Winning Culture: Join a workplace recognized for its commitment to excellence with a ‘Great Place to work’ award, as well as a Platinum Ecovadis rating highlighting our sustainability and employee well-being.

What You'll Do:

• Analyse large-scale time-series, sensor, and operational datasets using Python and PySpark
• Detect trends, anomalies, and performance deviations across distributed data sources
• Quantify data correlations and correction factors to improve measurement accuracy and reliability
• Build and optimize complex SQL and SparkSQL queries to deliver ad-hoc insights
• Design reusable data pipelines and automations for monitoring and data quality checks
• Automate KPI aggregation from APIs, databases, and external systems
• Standardize analytical workflows and data-processing practices across teams
• Curate and prepare datasets for AI, machine learning, and RAG-based applications
• Design and maintain interactive BI dashboards and self-service reporting solutions
• Support root-cause investigations and provide rapid analytical support during operational incidents
• Collaborate with cross-functional stakeholders to translate business needs into scalable data solutions
• Act as a technical advisor for analytics best practices, tooling, and data-driven decision-making