Data Analyst

• Own the analytics domain for key Autofleet products and strategic initiatives.
• Analyze large-scale operational and product datasets to identify trends, opportunities, and business insights.
• Design, build, and maintain dashboards and reporting solutions using modern BI tools.
• Develop automated data pipelines and analytical workflows using Python and Airflow.
• Partner closely with Product Managers to define KPIs, measure success, and support product decision-making.
• Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
• Build internal tools and processes that improve data accessibility and operational efficiency.
• Utilize modern AI-assisted development tools (such as Claude Code) to accelerate analysis, automation, and development workflows.
• Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

• Build and use AI-based tools, workflows, and automations leveraging LLMs, VLMs, and AI agents to support data labeling, classification, enrichment, and analysis processes.
• Perform hands-on analysis of structured and unstructured data, investigate model errors, identify patterns, and generate actionable insights to improve data and model quality.
• Define labeling schemes, analytical criteria, and QA methodologies to ensure high-quality and consistent data analysis processes.
• Create internal scripts, lightweight tools, and automations that streamline data analysis and annotation workflows.
• Collaborate closely with algorithm, research, and engineering teams to translate project needs into practical AI- and data-driven solutions.

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Data Analyst

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