QUALIFICATIONS AND JOB DESCRIPTION
OMD is one of the largest and most influential media communications specialists in the world, investing more than 31 billions dollars in media on behalf of clients across 80 countries. Since 2002, it was voted as the Global Media Agency of the Year for 4 times by Advertising Age. OMD is consistently on the most creative media agencies list by Gunn Report.
OMD Turkey, formed March 1st 2002, has already established itself as a leading media communications specialist in Turkey, in both size and reputation, through our work with some of Turkey's leading brands. In 2004 OMD Turkey has been awarded a Cannes Media Lions which is the only media lion in Turkey.
OMD Digital is the "interactive media planning and buying unit, which specializes in managing web strategies, designing & developing web projects, web advertising and post-campaign reporting. If you are interested in being a part of OMD, you can send your application with a cover letter indicating which area you are planning to work on and your goals.
INTERNSHIP:
ABLE TO WORK (online) AT LEAST 4 FULL DAYS (09.00a.m.-18.00p.m) in a week
At the end of the internship, the Digital Analytics & Data Intern will have experience in:
Working with app & web datasets
Working with web & app analytics technology tools like Google Analytics, Adobe Analytics, Adjust, Firebase, Google Tag Manager, Google Data Studio etc
Setting up tracking tags and tracking pixels
Setting up clients’ app & web measurement systems
Building automated, on-demand reports
Managing client relationships
Translating reports and KPIs into actionable insights
Experiencing different dynamics from various industries
What you will be doing: Key responsibilities
Executing Data & Analytics projects
Taking responsibilities on both on daily operations and projects
Analysing and reporting web & app data
Developing clients’ measurement strategies
Implementing media tags & setting up measurement systems
Working with the team on data science projects
Understanding of data science techniques covering regression, classification and segmentation problems
Being a good team player
Qualifications: Education & experience required
Senior students and master students
Strong sense of analytical thinking and eagerness to learn
Willing to learn or to have a knowledge about web & app analytics related platforms like Google Analytics, Adobe Analytics, Adjust, Firebase, Google Tag Manager, Google Data Studio, Google Optimize etc.
Experience with statistical analysis and programming language like R, Phyton
Preferably having basic knowledge of web-related technologies (JavaScript, CSS and HTML) and database techniques (REST-APIs, SQL, No-SQL)
Preferably knowledge on predictive modelling, machine-learning, clustering and classification techniques, and algorithms
Excellent written & verbal English language skills/grammar; a strong communicator
