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# Analytics Engineer (all genders) - Supply Data Solutions

- **Company:** Alle Jobs Anzeigen
- **Location:** Hamburg, Germany
- **Experience:** Experienced
- **Salary:** €60,000.0 - €70,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Systems, Data Visualization, Python (Programming Language), SQL Databases, Google Data Studio, Data Analytics, Google Bigquery, Looker Analytics
- **Published:** August 26, 2026
- **Apply:** https://www.careerjet.de/jobad/de29c74fdd377ecee1ee1f11400e6094bd

## About the Role

* At least 3 years of experience as a Data Analyst
 * Strong proficiency in SQL for complex data analysis, reporting and querying large datasets
 * Experience with Google BigQuery
 * Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports
 * Experience in Python is a big plus
 * Excellent communication skills
 * Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
 * Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
 * Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
 * Pragmatic and structured approach to problem-solving, consistently delivering efficient, data-driven solutions.
 * Attention to detail and commitment to data quality and accuracy

## Description

* Gather, analyze, and interpret data to fulfill reporting requests from business stakeholder
 * Translate complex data into clear, actionable insights that support business strategy
 * Support ad hoc analysis and contribute to data-driven decision-making
 * Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows
 * Maintain, design and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization
 * Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions
 * Communicate findings effectively to technical and non-technical audiences
 * Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes


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