Analytics Engineer – Supply Data Solutions

This is a fully remote position, open to applicants in Germany.

📋 Description

• Collect, analyze, and interpret data to satisfy reporting needs of business stakeholders.

• Convert intricate data into straightforward, actionable insights that align with business strategies.

• Assist with ad hoc analyses and contribute to decision-making based on data.

• Automate standard reporting processes and manage existing reports to ensure their reliability and enhance data workflows.

• Develop, design, and implement advanced dashboards using tools like Google Looker Studio, facilitating self-service analytics throughout the organization.

• Collaborate with data engineers, data scientists, and various stakeholders to guarantee data quality and consistency.

• Provide data-driven insights that inform supply-related business decisions.

• Effectively communicate findings to both technical and non-technical audiences.

• Cultivate a data-driven culture within the organization, encouraging the integration of analytics into decision-making processes.

⛳️ Requirements

• Minimum of 3 years of experience as a Data Analyst.

• Strong expertise in SQL for complex data analysis, reporting, and querying extensive datasets.

• Experience with Google BigQuery.

• Familiarity with data visualization tools (e.g., Looker Studio, Excel, or similar) for creating engaging dashboards and reports.

• Proficiency in Python is highly advantageous.

• Outstanding communication abilities.

• Capability to convert ambiguous business requirements from various stakeholders into analytical needs.

• Proactive and self-motivated, with a capacity to work independently and manage projects from initiation to completion.

• Collaborative mindset, skilled in working with cross-functional teams and establishing strong relationships with stakeholders.

• A pragmatic and structured approach to problem-solving, consistently delivering effective, data-driven solutions.

• Keen attention to detail and a strong commitment to data quality and accuracy.

🏝️ Benefits

• Team lunches.

• Afterwork drinks.

• Company events.

• Flat hierarchies.

• Direct communication.

• Pragmatic decision-making.

• Ownership, trust, and clear responsibility.

• Remote work options.

• Inclusive and welcoming work environment.

• Acceptance and inclusion.

• Fairer approach to fashion.