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Чётко описанная роль сочетает аналитические расследования с созданием AI-инструментов в зрелой продуктовой компании, но расследования могут быть долгими и требовать точных объяснений для клиентов.
?Сложная аналитика
Актуальный стек
AI в работе
Поддержка развития
Щедрый отпуск
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst (AI) (Python/SQL/PySpark): Investigating escalated data issues, tracing metrics through large datasets and pipelines, and turning recurring questions into documentation, dashboards, internal tools, and AI-assisted products with an accent on analytical precision, data provenance, and clear communication. Focus on choosing suitable datasets, explaining metric definitions, building autonomous agents, and working across Databricks, AWS, and GitLab.
Location: Prague; hybrid work
Company
hirify.global provides a digital intelligence platform for customer-facing organizations.
What you will do
Run escalated data investigations end to end by reproducing issues, tracing metrics to their sources, and providing precise answers.
Select appropriate datasets, understand how they were produced and identify their limitations across a large data environment.
Report findings to the teams producing the data, providing evidence and context.
Document investigations and shared knowledge so the team can handle cases consistently.
Turn recurring questions into documentation, dashboards, internal tools, and agents with the analytics engineer.
Use AI assistants such as Claude and Cursor and build autonomous agents alongside manual ticket resolution.
Requirements
Python is required, together with strong SQL or PySpark; willingness to learn PySpark quickly is required if it is not already known.
Experience working with a notebook environment and a cloud platform is required.
Experience with Databricks, AWS, and GitLab, with the ability to learn additional tools as the stack expands.
Strong investigative judgement: determine how far to take an investigation while maintaining non-negotiable analytical correctness.
Ability to investigate why a number looks incorrect and turn findings into useful tools.
Ability to explain data precisely to non-technical audiences, including customers.
Nice to have
Experience with modelled or estimated data such as panel data, web analytics, or forecasting, where the method must be explained as well as the result.
Experience building or specifying AI-powered internal tools.
Culture & Benefits
Work from a modern office in the DOCK IN area of Prague 8, designed for focus and collaboration.
Five weeks of vacation, an extra day off during the birthday month, and a choice of three sick days or a multisport card.
MacBook Pro M5, dual monitors, and an electric standing desk.
Team-building events, parties, weekly lunches, and happy hours.
Access to equity programs, Career Week, personalized coaching, and ongoing learning solutions.
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