Data Analyst

About Inetum, Positive digital flow:

Inetum is an IT services company that provides digital services and solutions and a global group that helps companies and institutions to get the most out of digital flow. The Inetum group is committed towards all these players to innovate, continue to adapt and stay ahead. With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a sectorial organization and solutions of industrial quality. Operating in more than 26 countries, the Group has nearly 27,000 employees and in 2020 generated revenues of €1,965 billion.

Inetum Romania is an important player in the IT services and solutions market in our country, with over 15 years of activity. It is a stable, growing and profitable company with over 500 employees who provides IT consulting services, infrastructure and software development assistance, digital services implementation and support.

In an Agile format, our teams work on cloud initiatives, application development, business intelligence, automation and digitalization projects that contribute to the profit and evolution of our clients. The diversity of our projects offers team members the opportunity for learning and growth. The company had a turnover of 20 million EURO in 2021.

git (GitLab, IntelliJ), Hadoop (Hue, Hive), SQL (high experience needed)
Master data management (MDM) knowledge
Data exploration and visualization tools (Spotfire preferably, but the knowledge of other tools of type SAP BI, Tableau or QlikView/QlikSense is acceptable)
Experience working with warehouse data
R or Python, statistical methodologies
General knowledge of cloud environment, especially Google Cloud Platform
Agile project management, especially Scrum and/or Kanban

Coordinate with architects and business analysts in analyzing data from operational systems or the data lake
Build the target analytical model and validate it with the data engineers
Assimilate the big data technologies and manage common changes of the data integrations
Document the technical steps taken
Data exploration and ad-hoc analysis, for specific needs
Push for new approaches which increase the efficiency of the team

Interesting salary conditions
Career plan (professional, academic, and financial)
Yearly professional evaluation
Professional and friendly working environment
Undetermined period of contract
Meal Tickets
Medical Assurance