Job title: (Junior) Data Analyst
Department: Data Analytics
Reports to: Steffen Schiwek
Location: Belgrade
Travel requirements: -
Terms: Full-time permanent position
Salary: Competitive
About Nano
Nano Interactive helps brands discover, understand & target new customers without using any form of personal identifier (such as cookies or fingerprinting). Our AI driven technology platform analyses 4.9+ billion intent signals every day, spotlighting key moments of consumer intent behaviour to connect brands with new audiences while upholding the highest possible consumer privacy standards.
Nano prides itself on delivering world class solutions for leading global brands including Barclays, Mercedes, McDonalds, and Sage. Our commitment to excellence and innovation has been recognized worldwide with a number of prestigious award wins from The Drum, Media Week, Ad Exchanger, The Wires and Digiday. We are a leader in our category and a trusted partner to the world’s most influential brands.
A key differentiator at Nano is the opportunity for personal and professional growth. We are a diverse team who actively play to our collective differences and unique strengths. We genuinely care about each other, are committed to growing professionally and making an impact. Our environment is flexible to allow our people to thrive and do their best work whilst also balancing their needs and wants outside work.
About the opportunity
We are looking for a highly motivated Data Analyst to join our Data Analytics Team. The Data Analyst will work closely with the Head of Data Analytics in all aspects of turning data points into valuable information. You will apply your skills and knowledge to develop solutions that are smart, practical, robust and done to the exact specifications.
We currently serve over 1.5 billion ad requests a day across the world and collect terabytes of data that need to be combined, analyzed and made available to different departments throughout the company and to clients. AWS Cloud infrastructure will be at your disposal to be able to use distributed services necessary for computation and analysis.
Your colleagues will value you highly for integrating various data sources and setting up the right data structures as well as for your technical and analytical know-how to illuminate the business process with metrics that matter.
Key Tasks and Responsibilities
- To cooperate and communicate closely with the Ad Ops-, Client Success- and Development Teams
- To become our expert for data warehousing and enhance the import processes
- To monitor all data imports and improve the monitoring capabilities
- To connect to APIs and other data sources and embed the info into our data structure
About you
- A university degree (Bachelor or higher) in a relevant field: Mathematics, Data Science, Physics or similar
- Strong analytics skills
- Strong technical skills and the ability to identify and understand business needs for data products/reports/analysis
- Experience with tools for data transformation (preferably R or Python)
- Experience with relational and non-relational data bases (preferably MySQL, AWS S3, AWS Athena)
- Multidimensional modelling of data
- Being familiar with ETL processes
- Data integration from various sources (including APIs)
- Ambition and talent to learn about and use new tools
- Fluency in English
- Being comfortable and confident in communicating with various stakeholders of your projects
What we offer
- Hybrid work model: Possibility to work from home twice a week
- Flexible working
- Opportunity to work with high-end technologies
- Fun and global working culture
- Plenty of growth, development and training opportunities
- Private Health Insurance including Dental
- 21 days of annual leave increasing to 25 after your first anniversary
Nano is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Application and Interview process
Please apply by submitting your CV and Cover letter (if applicable) electronically. The interview consists of the following stages:
1. Introduction video call with the Head of Data Analytics (15 Minutes)
2. Long interview with a larger group (1hour)
As we work through the process we might add extra stages, but we’ll let you know as early as possible if so.
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
