Data & Analytics Graduate — Sales Operations

Location: Prague, Czech Republic; hybrid setup with work from home up to 2 days per week. Up to 30 days per year may be worked from anywhere in the world as a flex-location benefit.

Company

hirify.global provides technology and communications solutions for airports, airlines, borders, and the global air travel industry, serving 95% of international airports and more than 2,500 transportation and government clients.

What you will do

• Support the design and development of a next-generation BI platform, including data models, semantic layers, dashboards, and reports.
• Contribute to machine learning and predictive analytics projects by preparing and exploring data and helping test models for pipeline, conversion, and revenue forecasting.
• Analyze commercial data, connect findings to business performance, and communicate recommendations.
• Identify manual, repetitive, and fragile processes and help replace them with automated, robust, and scalable solutions.
• Use SQL, Python, DAX, and AI copilots to wrangle data, build logic, and solve analytics problems.
• Participate in agile sprints, stand-ups, and backlog activities, delivering value incrementally.

Requirements

• Strong analytical skills and comfort working with data and numbers.
• Business mindset with an ability to connect analysis to commercial impact.
• Ability to work in an agile, iterative, and adaptable way.
• Familiarity with and ability to write SQL, Python, or similar code.
• Interest in applying AI to analytics and reporting problems.
• Interest in automation, scalability, structured problem-solving, documentation, clean logic, and attention to detail.
• Willingness to learn, ask questions, share knowledge, and work as part of a team.
• Fluent English.

Nice to have

• Degree in a quantitative, analytical, or business field such as statistics, econometrics, data science, engineering, economics, or a similar discipline.
• Knowledge of advanced analytics tools or machine learning.

Culture & Benefits

• 12-month fixed-term contract designed as an early-career launchpad.
• Flex Week: work from home up to 2 days per week.
• Flex Day: structure the workday around personal needs.
• Up to 30 days per year working from anywhere in the world.
• Access to LinkedIn Learning, Pluralsight, Harvard Business Publishing, Stanford programs, Microsoft’s Enterprise Skills Initiative, and other development resources.
• 24/7 Employee Assistance Program, Champion Health support, and benefits tailored to the local market and employment status.