Junior Data Analyst (EMEA, remote)

Margera is a boutique analytics agency founded by an x-Googler. We help Enterprise companies grow through the use of data and analytics. We are proud to support top companies in various industries such as banks (Eurobank, Piraeus Bank, Astrobank), travel-related (Aegean Airlines, Sani/ikos Hotels), tobacco (Philip Morris in 6 countries) and gaming (OPAP, Stoiximan, novibet). Our main services are Digital Analytics (we are the only Google Analytics Sales Partner in Greece/Cyprus), Data warehousing (on-prem or on the Cloud), BI and Machine Learning.

We have an ambitious growth plan (x5 in 3 years) and we are looking for a professional who will be joining our Data Analytics Team.

Here’s who we’re looking for:

You are a fresh graduate that wants to start a great career. You must thrive on problem-solving when somebody assigns something challenging to you, you do not say "this cannot be done", but rather "how can this be done?". As a Data Analyst, you will be expected to gather information from various sources, interpret patterns and trends and conclude to actionable insights.

Typical responsibilities for this role would be:

The primary responsibility of the Data Analyst is to perform analysis that leads to actionable insights based on the needs of our Clients. 

• Analysis: Analyse 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
  
• Reporting: Design and create reports for periodic or ad-hoc needs
  
• Development: Assist in data definitions for data warehousing projects or digital analytics. Need to understand the semantics of the data and business to participating in data modeling workshops or tracking guides.
  

We do not care about a prestigious university degree or social connections. We care about raw intellectual capacity and drive.

You must have:

• University degree in Mathematics, Economics (or a similar field)
• Native-level proficiency in Greek and at least fluency in English
• Strong knowledge of Microsoft Excel (pivot tables, vlookup, text functions)
• Data curiosity
  

Bonus points for:

• 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

BENEFITS

We know that the growth of our company is 100% based on our Team and therefore we are looking for talented and really ambitious people. If you are one of those rare breeds, you will be working with a team of young, smart people in a company with a clear growth mindset.

On top of this, we offer:

• Competitive salary
• Performance 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)

1. First Interview: An initial interview to get to know each other and discuss your qualifications and experience.
2. Exercise Assignment: An exercise, that will be send to you typically the same or the following day, which you need to complete and return to us within two days.
3. Virtual On-Site Day (Paid): On this day, we will give you an exercise to solve in the morning, which you will present to us at the end of the day. This day is designed for you to get to know the team, understand what a typical day is like with us, and experience working together (e.g., briefing, feedback, etc.). It also provides our team the opportunity to get to know you better and discuss the exercises you have prepared.