Data Analysis & Automation Trainee (6 months contract) Bucharest

Data Analysis & Automation Trainee (6 months contract)
Bucureşti
Bucharest, Bucharest, Romania

Your day to day:

• Data collection from different sources (GCP, Sharepoint) and reporting by leveraging insights from BI tools.

With these activities you will have a great impact on our business:

• Data collection, Analysis and Automation 

• Quality checks and Sanity actions

• Documentation and Best practices 

• Building Dashboards & KPI implementation

With these skills you are a great candidate:

• Data Analysis & Automation

• Programming languages such as Python and SQL

• Skills to create reports and dashboards with BI tools like PBI, QLIK, etc. .

• Machine learning knowledge will be valued

Must have technical / professional qualifications: 

• Bachelor’s degree in computer engineering, Programming and Statistics or Telecommunications.

• Strong capabilities for teamwork.

• Fluent in English

Sounds like the perfect job? We’ve got even more to offer:

• Hybrid way of working

• Medical and dental services 

• Life and hospitalization insurance 

• Dedicated employee phone subscription 

• Special discounts for gyms and retailers 

• Annual Company Bonus 

• Ongoing Education – we continuously invest in you to ensure you have everything needed to excel on the job and enhance your skills

• You get to work with tried and trusted
- technology 

• Getting in on the ground floor of a technology changing company 

• Flexible Vacation – Take time off when you need it, we trust you

• Special Paternal Program - 4 months of paid paternity leave

We recognize and celebrate the importance of diversity and inclusivity in our workplace so that we are as diverse as the customers and communities we serve. We do not tolerate any form of discrimination especially related to but not limited to race, color, age, veteran status, gender identification, sexual orientation, pregnancy, ethnicity, disability, religion, political affiliation, trade union membership, nationality, indigenous status, medical condition, HIV status, social origin, cultural background, social or marital status.