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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает понятную аналитическую роль, возможности для развития и работу с AI-инструментами; главный минус - зарплата не указана, поэтому уровень оплаты сложно оценить.
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Зарплата не указанаАктуальные инструментыПонятные задачиAI-направлениеРазвитие и обучение
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Business Data Analyst (AI): Building analytical tools, dashboards, and KPI reporting to support strategic decisions across Finance, Product Management, Sales, and Marketing with an accent on complex data analysis, AI-powered automation, and data governance. Focus on querying large datasets with SQL, developing visualizations, and translating statistical findings into actionable recommendations for non-technical stakeholders.
hirify.global develops software for reality capture, computer vision, digital twins, and machine learning, producing georeferenced 2D maps and 3D models from images captured by aircraft, drones, and mobile phones.
What you will do
Clean, manipulate, and analyze large datasets to identify trends, patterns, and anomalies.
Build interactive dashboards and reports using dashboarding tools and AI-powered tools for automation and visualization.
Use Generative AI, Agentic AI, and Model Context Protocol (MCP) to streamline data workflows and support intelligent decision-making.
Query databases with SQL and prepare data from multiple systems.
Translate complex data into actionable recommendations for business growth, efficiency, and optimization.
Collaborate with Finance, Product Management, Sales, and Marketing to define business requirements and KPIs while ensuring data integrity, accuracy, and standardization.
Requirements
Proficiency in SQL and advanced Excel.
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Familiarity with Generative AI, Agentic AI, and Model Context Protocol (MCP) implementations.
Knowledge of Python or R for data analysis.
Strong statistical knowledge, problem-solving skills, and attention to detail.
Ability to communicate data-driven stories to non-technical stakeholders.
Master’s degree in business, economics, statistics, or data analytics, coupled with a first experience supporting data-driven decisions.
Culture & Benefits
Flexible working hours and hybrid work possibility.
25 days of paid vacation.
Employee Assistance Program providing mental, legal, and financial assistance.
Learning and professional development opportunities.
Multicultural, authentic, and collaborative working environment.
Office near Lausanne with convenient public transport access, employee discounts, social events, and contributions to selected local events.
Hiring process
Applications are screened by humans.
Standardized and structured interviews are used to ensure equal treatment and avoid discrimination.
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