Revolutionize the way individuals perceive, access, and engage with mental health care
AI Product Data Analyst
Location
CET (UTC+1)
Posted
21 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Product Data Analyst
MEDvidi
Role Description We are hiring a Data Analyst to play a key role within the AI product team, ensuring data-driven accuracy in decision-making while evaluating, improving, and scaling AI-powered solutions in production. This is a highly strategic, fast-paced role focused on measuring the real impact of AI agents and LLM-based systems, turning ambiguous problems and incomplete data into accurate decisions. Qualifications - 3+ years of hands-on experience as a Data Analyst working with product or platform data - Strong proficiency in Python for analytical work and ability to independently investigate data on the level of datapoints, build structural analyses, and present results - Confident SQL skills with experience working on complex queries - Experience building production-grade dashboards in BI tools, preferably in Tableau - Clear understanding of how LLM-based systems operate, including their limitations, failure modes, and trade-offs - Strong problem-solving and ownership mindset: you take responsibility for analytical outcomes, not just task execution - Ability to work in fast-changing, ambiguous environments and quickly learn new AI-related technologies - Proven experience linking product quality metrics to business impact and decision-making - Fluent Russian; English level B2 or higher - Ability to work CET-overlapping hours Requirements - Experience evaluating or analyzing AI / ML / LLM products - Experience with dialog systems or conversational agents - Understanding of model quality metrics and evaluation approaches Responsibilities - Analyze the performance and impact of AI initiatives already running in production - Develop and maintain dashboards that provide transparency into AI agent performance - Investigate issues, inconsistencies, and performance drops across automated user journeys - Design and implement evaluation approaches to measure system quality and user experience - Identify opportunities where automation improves outcomes, as well as areas where it introduces friction - Track adoption and effectiveness of automation across the product and support its further evolution - Partner closely with Product, Engineering, and QA teams to support data-informed decisions Benefits - Health insurance after probation period - Sports & wellness compensation - Fully remote, long-term B2B collaboration - 19 working days of vacation per year - 3 additional wellness days per year - Paid sick leave for the first 5 working days - Gifts to employees for important events - Personalized English lessons via Preply
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