Data Analyst (m/f/d)

About Us

METYCLE: where innovation meets sustainability. We are reshaping the global secondary metals industry to accelerate the circular flow of metals. By combining global trading, advanced processing and digital intelligence, we make secondary metals more predictable, transparent and scalable, strengthening industrial supply chains and reducing reliance on primary metal production.

Recycling aluminium can reduce greenhouse gas emissions by up to 95% compared with primary aluminium production. Our SmartSorting Hubs combine advanced sorting technology, automation and AI to transform how complex scrap is processed, turning selected mixed streams into better-defined industrial feedstock while improving material quality and traceability.

Join us at a defining stage as we bring the $600 billion scrap metals industry into the 21st century and build a new global standard for secondary metals.

Ready to Make an Impact?

We are looking for an experienced Data Analyst who turns complex operational and business data into clear insights, better decisions, and measurable improvements. You bring strong hands-on experience in data analysis, SQL, visualisation, and working with large and imperfect datasets - and understand how to connect data to real-world processes and business outcomes.

This is an integrated role at the intersection of business, operations, and technology. You'll work directly with teams to understand their data needs, dig into the details hands-on, and find the right way to answer their questions - whether through SQL, Excel, dashboards, or other tools. You'll also translate recurring needs into requirements for Engineering and help build stable, automated reporting and analytics over time, particularly across our trading business.

Your Mission

• Analytics & Insights: Turn complex business questions into clear, actionable analysis, identifying trends, opportunities, risks, and the key drivers behind business performance
• Data Foundations: Build and maintain the data transformations needed to turn raw data into clean, reliable, analysis-ready datasets in the Data Warehouse
• Data Modelling: Translate business requirements into well-structured, reusable data models and clearly defined metrics
• Data Quality: Implement and maintain data quality checks and tests to ensure data is accurate, consistent, complete, and fresh
• Reporting & Self-Service: Build and support dashboards, reports, and analytical datasets that are intuitive, performant, and optimised for internal reporting and self-service analytics
• Stakeholder Partnership: Work closely with Product, Operations, Finance, Marketing, Engineering, and other teams to understand business needs
• Documentation & Standards: Maintain clear documentation for datasets, transformations, metrics, and data lineage using dbt Docs or similar tools
• Automation & AI: Identify manual or inefficient analytical workflows and improve them through automation, modern data tooling, and AI-assisted analysis

Your Profile

• 3+ years of hands-on experience in Data Analytics, Product Analytics, Business Analytics, or a closely related analytical role
• Strong analytical and statistical thinking, with the ability to identify trends, anomalies, and root causes, define meaningful metrics, and work confidently with imperfect or incomplete data
• Independent, structured, and pragmatic, with a strong sense of ownership
• Strong business understanding and analytical curiosity; experience with financials, commodity trading, finance analytics, or accounting is a strong advantage
• Strong SQL skills with experience working with complex datasets, data transformations, joins, aggregations, window functions, and analytical data models
• Proven experience working with modern Data Warehouses such as Snowflake, BigQuery, Redshift, Databricks, or similar
• Experience with modern analytics engineering practices and tools such as dbt, including data modelling, automated data quality tests, documentation, and data lineage
• Strong experience with BI and visualisation tools (e.g. Metabase, Looker, Tableau, Power BI or similar)

Why Join Us?

• Opportunity to challenge the status quo and work on an innovative venture with significant impact
• Take ownership and shape the future of metal recycling and green energy solutions at an early stage
• Competitive salary including virtual company shares
• Flat hierarchies and a steep learning curve with exciting growth opportunities
• Flexible working hours and the opportunity to work remotely or from a shared office location
• Inclusive, diverse and supportive work environment