969 data analyst English-speaking jobs in Berlin

Collaborate with AI research teams to refine model outputs and improve training data quality.

Collaborate with AI research teams to refine model outputs and improve training data quality.

Develop problems that require strategic planning for experiments and queries to uncover hidden data.

Develop problems that require strategic planning for experiments and queries to uncover hidden data.

Diagnose issues from messy or conflicting data, prioritize, make tradeoffs, plan, execute, QA, reconcile

Produce process and board materials, including management presentations, data packs, buyer universes,

Preferred Prior experience with AI training, evaluation, or human-data projects.

Produce process and board materials, including management presentations, data packs, buyer universes,

Provide clear, structured feedback to AI research teams to improve training data quality and downstream

Provide clear, structured feedback to AI research teams to improve training data quality and downstream

Preferred Prior experience with AI training, evaluation, or human-data projects.

Preferred Prior experience with AI training, evaluation, or human-data projects.

Diagnose issues from messy or conflicting data, prioritize, make tradeoffs, plan, execute, QA, reconcile

Preferred Experience supporting AI/ML infrastructure or large-scale data platforms. ... Familiarity with model training, inference, evaluation, or data pipeline infrastructure.

· Collect customer feedback and field data to drive product improvements, reliability enhancements ... · Work with Analytics and Digital teams to leverage monitoring platforms and data analytics for predictive

Collect and analyse client performance data and present key findings to clients during monthly reporting ... Embodying our consultative philosophy, this dedicated team proactively shares new market insights, analyzes data

Segment and personalize at scale: Build data-driven segmentation (by industry, usage, tenure, geography ... journey for a segment that is not covered by dedicated Customer Success Managers — designing scalable, data-driven

Familiarity with data security practices - PII handling, access controls, data classification.

continuous improvement actions for coaching, program delivery, and cohort support Maintain accurate, timely data ... including mid- and end-line financial/donor reporting, ideally in cooperation with finance functions Data-driven

Maintain disciplined CRM hygiene, accurate pipeline data, and clean handoff notes. ... Data-driven, human-guided — We seek clarity over comfort, speak up early, and use feedback to grow together