Data Analyst
Bucharest Orhideea, Romania
Thales
From Aerospace, Space, Defence to Security & Transportation, Thales helps its customers to create a safer world by giving them the tools they need to perform critical tasksThe people we all rely on to make the world go round – they rely on Thales. Thales rely on its employees to invent the future: right here, right now.
Present in Romania for over 40 years, Thales is expanding its presence in the country by growing its Digital capabilities and by developing a Group Engineering Competence Centre (ECC). Operating from Bucharest, Thales delivers solutions in a number of core businesses, from ground transportation, space and defence, to security and aeronautics.
Several professional opportunities have arisen. If you are looking for the solidity of a Global Group that is at the forefront of innovation, but with the agility of a human structure that tailors to the personal development of its employees and allows opportunities for evolution in an international environment, then this is the place for you!
Project summary:
STAFR is a Thales Corporate Engineering (TCE) project targeting to cover Workload and Workforce planning, a standard and key feature of Sales & Operations Planning (S&OP) processes which in this moment are defined and deployed across several Thales entities. His end users are help in their projects to foreseen how to reduce the costs; how to deliver the projects on time; how to utilize the resources efficiently.
Day-to-day activities:
- Develop, update, maintain the STAFR data model and manage the data sets for the development and operation process.
- Data Extraction: Identify and extract relevant data from various sources, including databases, CSV files, APIs, and other systems.
- Data Transformation: Clean, normalize, and transform data to ensure it is in a suitable format for the organization needs. This may involve data manipulation, joining different datasets, applying statistical functions, converting data types.
- Data Loading: Load transformed data into appropriate storage systems
- Data Validation and Quality Assurance: Ensure the accuracy and integrity of data throughout all stages of the ETL process. Perform quality checks to identify and correct errors or discrepancies.
- Documentation: Create and maintain documentation related to data flows and model, transformations applied, and validation procedures.
- Data Analysis: Use loaded data to extract valuable insights, generate reports, identify trends, and support data-driven decision-making.
- Stay in touch with the Group Data Management in various function, to ensure alignment with the recommendations and strategies.
- Maintain clear and close collaboration with both the development team and the project stakeholders/ key users.
Nice to have: ETL Process Automation: Develop scripts and automated processes to streamline and repeat ETL stages, ensuring a continuous and reliable flow of data. Experience working with Talend.
Required competencies:
- Bachelor's degree in Computer Science, Information Systems, Data Modeling, Data Science, or a relevant experience (4-5 years)
- Proven experience in data analysis and ETL processes and tools
- Strong analytical skills and attention to detail
- Experience in working with data lakes
- Experience with SQL and database management
- Good communication and relationship with the stakeholders and team members
- Capable to give and receive feedback; able to listen and share, able to give constructive feedback
- English knowledge; French would be a plus
- Agile mindset & practices would be a plus
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Computer Science CSV Data analysis Data management Engineering ETL Security SQL Statistics Talend
Perks/benefits: Career development
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