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# Data Analytics Tech Lead

- **Company:** Postaladdress
- **Location:** Düsseldorf, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Machine Learning, Tableau (Software), Technical Data Management Systems, Apache Spark, Information Technology, Data Analytics, Front End Software Development, Databricks
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/data-analytics-tech-lead-m-f-d-relocation-transparent-hiring-8716601

## About the Role

* Bachelor's degree in Computer Science or a related field.
 * Minimum of 5 years of leadership experience and/or project management in data & analytics, demonstrating your ability to lead and inspire teams towards achieving the company's goals.
 * Extensive experience in one of the following roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert (Tableau), or Machine Learning Engineer.
 * Proven track record of working in large enterprises, showcasing your ability to thrive in complex organizational structures and deliver results at scale.
 * Extensive experience implementing agile values and principles, coupled with a passion for driving innovation and continuous improvement.
 * Hands-on experience working with Microsoft Azure, Databricks, and Apache Spark.
 * Fluency in English at a C1 level, enabling seamless communication and collaboration in an international setting.

## Description

As the Tech Leader, you'll play a key role in managing and developing a talented data analytics team of 7 individuals. Your primary focus will be on solving complex technical data challenges to drive the company toward its business objectives., * Lead the Data & Analytics team, managing them in accordance with agile values and principles, ensuring efficient project delivery and optimal performance.

 * Foster the growth and development of your team members, and closely collaborate with a Product Owner and Chapter Leads.
 * Strike a balance between people management responsibilities and hands-on technical tasks, ensuring a 50/50 split to drive both team cohesion and project success.
 * Taking over one of the squad roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert, or Machine Learning Engineer.
 * Collaborate with business partners to devise innovative strategies and solutions, leveraging cutting-edge techniques and tools to meet and exceed business objectives.
 * Engage in strategic collaborations with stakeholders to identify opportunities for process optimization and technological advancement.


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