Data Analyst jobs in Germany

If you are excited about growing with Hive and love operations, this might be the right position for you!

You’ll join as a data engineer, helping power our business, serve our customers better, and drive our data infrastructure.

Some exemplary topics of what we expect a data engineer to cover is below — an important note is that we’re not looking for someone that purely optimises the technical aspects of what they’re doing, but that they’re doing it with their users (engineers, data analysts, PMs, …) and our customers in mind.

• Design, develop, and maintain scalable data pipelines and processes to support data ingestion, transformation, and storage using OSS and cloud technologies and tools like Redshift, Kinesis, dlthub, Spark, Iceberg, Sagemaker.
• Design, build, test, document, and maintain data models that support business requirements and enable customer-facing and operational analytics to support data-driven decision making around our Warehouse Management Software and SaaS features.
• Architect and optimise cloud infrastructure to support data-driven initiatives such as A/B testing features, event tracking, and experimentation.
• Contribute to and enhance our monitoring and observability setup (Grafana, Prometheus, Cloudwatch) to improve system visibility, alerting, and existing service level metrics.
• Continuously improve the data architecture, adopt new technologies, and stay aligned with the latest industry trends.

Hive is building the leading operations platform for independent commerce and uses our data platform foundations as a key enabler to enhance the value of our multi-product offering. Better commerce operations for merchants, consumers, and our fulfilment network.

1. Data pipeline development: Redesign, build, and optimise ETL processes to reduce latency and improve performance for near real-time analytical use cases.
2. Analytics enhancement: Guide data analysts to develop new data models and reporting solutions in Metabase, providing actionable insights.
3. Scalable data analytics setup: Help shape and advance a scalable analytics solution to handle increasing data volumes and complex queries efficiently.
4. Data quality and consistency: Ensure comprehensive data quality and accuracy across all pipelines.
5. Integration with product infrastructure: Work with engineering teams to integrate data solutions with our product stack, enabling seamless data flow and enhancing our capabilities across the entire platform.

Collaboration across the business: Assess stakeholder needs across the Hive organisation to drive decision-making and technical approaches proactively, ensuring different use cases are covered properly and thoroughly.

We know – sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

• You have the skills: Strong proficiency in SQL and experience with OLTP and OLAP databases. Experience with real-time, pub-sub data use-cases and data-lake technologies is a plus.
• You get into the details: Hands-on experience with cloud platforms like AWS, data ingestion tools and processes, data transformation and modelling techniques, and analytical platforms like Mode, Metabase, or Tableau.
• You write code: Proficiency in an object-oriented programming language such as Python, and experience managing data infrastructure via IaC tools like Terraform and CI/CD processes with GitHub Actions.
• You know the theory, and the practice: Solid understanding of data warehousing concepts and best practices.
• You care about the craft: Excellent problem-solving skills and high attention to detail.
• You bring people along: Strong communication skills and the ability to work collaboratively in an agile team environment.

• Be part of the Hive: You will work with a highly driven team of exceptional and experienced people in all domains. People at Hive have worked at organisations such as McKinsey, Amazon, Shopify, Google, Flink, Blackstone, J.P. Morgan & DHL before. We believe in a culture of trust, collaboration, empowerment, and constructive feedback in a positive and inspiring work atmosphere.
• Make an impact: Join a young company with an entrepreneurial culture operating at lightning speed — we want you to grow with us.
• You will be valued: We offer attractive compensation, including virtual employee stock options for all full-time team members, plus your choice of hardware according to your preference.
• We support your well-being: Benefit from 30 vacation days annually, with the opportunity for a sabbatical after three years with us, alongside a dedicated monthly wellness and productivity budget.
• We will get you set up: Operating system and hardware of your choice, additional tech equipment that you need, screens — you name it. We want to enable you to do your best work.
• There\'s more! Enjoy flexible working hours, free drinks and snacks in our offices in Berlin, Paris, Milan & Madrid, and join regular team events such as off-sites and workcations.

We\'re revolutionizing e-commerce operations.

At Hive, we empower brands to excel in the digital commerce era through our innovative operations platform. By combining cutting-edge technology with a curated network of top-tier operations partners, we deliver measurable results.

Our comprehensive platform streamlines the entire operational chain through a single, intuitive interface. Since our founding in 2020, we\'ve rapidly grown to become one of Europe\'s leading operations platform, partnering with hundreds of innovative brands. With strategic locations in Berlin, Paris, Milan, Madrid, London, and Amsterdam. Backed by prestigious investors including Tiger Global, Earlybird, and Picus Capital, we\'re scaling our impact across Europe.

Diversity and inclusion are core to our success. We actively cultivate an environment where every team member, regardless of background, can thrive. We welcome talent from all walks of life, regardless of religion, ethnicity, nationality, gender, sexual orientation, age, marital status, or disability. At Hive, authenticity and professional growth go hand in hand.