Position: Associate / Middle Data Processing Engineer
Company: Exadel
Category: Data Analyst
Experience required: 1y
English level: upper
Published: 2023-04-01T00:00:00+03:00

**Georgia, Hungary, Lithuania, Poland, Uzbekistan**

We are looking for an **Associate/Middle Data Processor Engineer** to join our friendly team. 
In this role, you will act as the data processor for many different projects, with different kinds of data from all over the world, which can be from our own research or from external sources. 

**About Our Customer:**
The customer offers innovative marketing decision support systems for brands, media/creative agencies and media owners across the globe in the following fields of expertise: 
Business Analytics for the Marketing Industry
Communication Planning
Expertise & Innovation
Analytics & Research
The customer’s tools help support the decisions of large advertisers, media owners and media agencies on the tactical and strategic levels. 

**About Our Project:**
At this project, we develop creative analytical solutions to support companies in the optimization of their marketing and communications budgets. Analytical and econometric approaches form the backbone of these solutions, answering questions like "What media mix works best to communicate my brand message?”, “What budget should I invest in media and marketing?". 
Our software tools and other decision-support solutions combine market research, data, modeling 
results, and technical business intelligence. 

**Project Team:**
When you join our team, you'll be immersed in a culture where teammates always help each other achieve better results. We believe that together we are greater and that we can find brilliant solutions by sharing ideas.

**Requirements:**
Bachelor’s or master’s degree in business informatics/BIM, statistics, applied mathematics (BSc), or similarly data intensive 
0-2+ years of data analysis/engineer experience
Result-driven mentality and affinity with data and research
Affinity with software and quantitative techniques
Experience with Python or R
Excel or SPSS knowledge is a plus
Analytical thinking combined with a good eye for details
Keen eye to automate and improve processes

**English level:**
Upper-intermediate

**Responsibilities:**
Check and analyze existing data sources
Build data architecture
Create data pipelines
Evaluate business needs and objectives
Build algorithms and prototypes
Explore ways to enhance data quality and reliability