Data Specialist

Role overview

This opportunity is being shared on behalf of a partner employer that handles the application review and all subsequent hiring steps. The hiring company is seeking a Data Specialist who is located in Germany.

The role centers on taking ownership of the full data stack, including pipelines, analytics, and reporting, within a fully remote international setting. You will build dependable data flows, create scalable dashboards, and safeguard the accuracy and consistency of reporting that supports business-critical decisions. Working closely with engineering and business stakeholders, you will turn raw information into practical insights that help guide operations and strategy. The environment is fast-paced and highly independent, so the position calls for strong accountability, careful execution, and a proactive approach to solving problems. You will also help uncover data anomalies, improve data quality, and strengthen analytics capabilities across the company. This is a high-impact role where your work directly shapes strategic and operational outcomes.

Key accountabilities

• Oversee and refine end-to-end data pipelines and warehouse processes, using ETL tools such as Stitch and Google BigQuery.
• Create, update, and support dashboards and reporting assets in Looker Studio to serve business intelligence needs across teams.
• Set up and monitor Google Analytics 4 implementations, including event tracking, validation, and consistent reporting.
• Run thorough data checks and quality assurance steps to keep reporting outputs accurate, reliable, and consistent.
• Watch data movement closely to spot irregularities, investigate issues early, and apply fixes before they affect decisions.
• Prepare tailored reports and analysis for different business teams as needed.
• Partner with engineering and other stakeholders to improve data architecture, tracking methods, and reporting structures.
• Keep clear documentation, track tasks effectively, and maintain organized workflows with tools like Trello and Slack.

Requirements

• At least 3 years of experience in a Data Analyst, Data Specialist, or similar analytics-oriented role.
• Practical experience with ETL and data pipeline tools such as Stitch or comparable platforms, plus data warehousing in Google BigQuery.
• Strong working knowledge of Looker Studio, including dashboard development and advanced calculated metrics or reporting logic.
• Experience with Google Analytics 4, including event tracking, implementation, and interpretation of user behavior data.
• A demonstrated ability to validate datasets, QA dashboards, and maintain accuracy across reporting workflows.
• Strong analytical thinking with the ability to identify trends, anomalies, and meaningful insights in complex data.
• Experience producing customized reports and insights for cross-functional teams in a fast-paced setting.
• Well-developed organizational skills and the ability to document work and operate independently in a remote environment.
• Clear communication skills, with responsiveness and precision in distributed team settings.

What’s offered

• Fully remote-first work setup with flexibility across locations.
• The chance to influence company-wide decisions through data-driven insight.
• High ownership and autonomy across analytics and data infrastructure.
• Exposure to modern data stack tools and technologies.
• An agile, low-bureaucracy culture centered on delivery and impact.
• A strong focus on experimentation and continuous improvement.
• A collaborative global team spread across multiple time zones.
• The opportunity to build scalable analytics systems from the ground up.

Application and hiring process

The partner company manages all applications and next steps. Applications are reviewed through an AI-assisted matching process designed to assess candidates against the role’s core requirements. Suitable profiles are shortlisted and shared with the employer, while interviews, assessments, and final hiring decisions are handled by their internal team.

Privacy and data processing

By applying, you agree that the hiring platform may process your personal information to evaluate your candidacy and share relevant details with the employer. This processing is based on legitimate interest and pre-contractual steps under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection to your data at any time.

The recruitment process may also use AI tools to assist with parts of application review, resume analysis, response assessment, and the detection of possible inconsistencies or verification signals in submitted materials. These tools support the recruitment team but do not replace human judgment, and final hiring decisions are always made by people. For more information about data handling, you may contact the hiring team.