Junior Data Analyst (Graduate Program)

About

Are you a recent graduate with a passion for data and a desire to kickstart your career in data analysis? Our client is offering an exciting Junior Data Analyst opportunity as part of their comprehensive graduate program. This is a fully remote position, providing you with the flexibility to learn and grow from home. You will work closely with experienced data scientists and analysts to support various data‑driven projects. Your responsibilities will include collecting, cleaning, and transforming data from diverse sources, performing exploratory data analysis, and creating insightful reports and visualizations to communicate findings. You will assist in identifying trends, patterns, and anomalies in data to help business stakeholders make informed decisions. Familiarity with SQL for data extraction and manipulation, as well as experience with data visualization tools (e.g., Tableau, Power BI) or Python/R libraries (e.g., Pandas, Matplotlib), is highly beneficial. This program is designed to provide hands‑on experience and mentorship, enabling you to develop a strong foundation in data analysis techniques. We are looking for enthusiastic, curious, and detail‑oriented individuals who are eager to learn and contribute to a dynamic team. Strong analytical thinking and problem‑solving skills are essential. While no prior professional experience is required, a solid academic background in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) is expected. This is an exceptional opportunity to gain invaluable practical experience and launch your career in a rapidly growing field. The nominal location is Leoben, Styria, AT, but the role is entirely remote.

Responsibilities

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis to identify trends and patterns.
• Create reports and visualizations to present data insights.
• Support senior analysts and data scientists in project work.
• Develop basic SQL queries for data extraction and manipulation.
• Learn and apply various data analysis techniques.
• Contribute to data quality assurance processes.
• Document analysis procedures and findings.

Qualifications

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Business Analytics).
• Strong understanding of fundamental data analysis concepts.
• Familiarity with SQL is highly desirable.
• Exposure to data visualization tools (e.g., Tableau, Power BI) or programming languages (Python, R) is a plus.
• Excellent analytical and problem‑solving skills.
• High attention to detail and accuracy.
• Eagerness to learn and develop technical skills.
• Good communication and teamwork abilities.
• Proficiency in English is required.