Margera is hiring a
Junior Data Analyst

Summary

The job description is for a Data Analyst position at Margera, a boutique analytics agency that helps Enterprise companies grow through data and analytics. The company offers services in Digital Analytics, Data warehousing, BI, and Machine Learning. They are looking for a fresh graduate with problem-solving skills, data analysis experience, and a university degree in Mathematics or Economics. Bonus points are given for relevant internships, knowledge of data-related programming languages, SQL, BI tools, Machine Learning/AI experience, at least 6 months of relevant work experience, and native-level proficiency in Greek and fluency in English. The benefits include competitive salary, monthly bonus, discretionary annual salary increases, internal trainings, and tech equipment.

Requirements

• University degree in Mathematics, Economics (or a similar field)
• Excellent command of the English language
• Strong knowledge of Microsoft Excel (pivot tables, vlookup, text functions)
• Data curiosity

Responsibilities

• Perform analysis that leads to actionable insights based on the needs of our Clients
• Analyze data collected from various data sources, identify new data sources or ways to look at the data, perform the synthesis of insights to generate a coherent story
• Design and create reports for periodic or ad-hoc needs
• Assist in data definitions for data warehousing projects or digital analytics. Understand the semantics of the data and business to participating in data modeling workshops or tracking guides

Preferred Qualifications

• Having completed relevant internships
• Knowledge of data-related programming languages (Python, R, etc)
• Strong knowledge of SQL
• Experience with BI tools (Tableau, Power BI, Qlickview)
• Interest into Machine Learning/AI
• At least 6 months of relevant work experience
• Native-level proficiency in Greek and at least fluency in English

Benefits

• Competitive salary
• Monthly bonus
• Discretionary annual salary increases
• Internal trainings either product specific (like Google Analytics, Microsoft PowerBI) or data in general (SQL, AI/ML foundations)
• Tech equipment (laptop and big screen)