Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team in Budapest, Hungary. In this full-time role, you will analyze data, generate actionable insights, and support data-driven decision-making processes. This position is ideal for professionals with 2+ years of experience who are eager to work in a dynamic and collaborative environment.

Key Responsibilities

• Collect, clean, and organize data from various sources.
• Conduct data analysis to identify trends, patterns, and opportunities.
• Develop dashboards and reports to communicate insights to stakeholders.
• Work closely with teams to understand data needs and provide solutions.
• Ensure the accuracy and integrity of data throughout the analysis process.
• Contribute to the development of data processes and best practices.

Tech Skills Needed

• Data Analysis Tools: Proficiency in tools like Excel, SQL, or R.
• Visualization Tools: Experience with Tableau, Power BI, or similar platforms.
• Programming: Basic knowledge of Python or R for data manipulation.
• Database Management: Experience with relational databases like MySQL or PostgreSQL.
• Statistical Analysis: Familiarity with statistical methods and techniques.
• Data Cleaning: Ability to preprocess and clean raw data for analysis.

Requirements

• 2+ years of professional experience in data analysis or a related role.
• A degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to data accuracy.
• Excellent communication skills in English; knowledge of Hungarian is a plus.

Preferred Qualifications

• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of machine learning fundamentals is an advantage.
• Familiarity with Agile or Scrum methodologies.

What We Offer

• Competitive salary (€2,000 – €3,000 per month, depending on experience).
• A collaborative and inclusive work environment.
• Opportunities for professional growth and learning.
• Flexible working hours and remote work options.
• Comprehensive benefits package, including health insurance and paid leave.