Offer summary

Qualifications:

Fresh graduate with a degree in a relevant field such as Data Science, Statistics, or Mathematics., Strong problem-solving skills and a proactive attitude towards challenges., Familiarity with data analysis tools and techniques is preferred., Basic understanding of data warehousing and digital analytics concepts..

Key responsabilities:

Perform analysis to derive actionable insights based on client needs.

Analyze data from various sources and identify new data sources or perspectives.

Design and create reports for both periodic and ad-hoc requirements.

Assist in data definitions and participate in data modeling workshops.

Job description

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.

Required profile