Data Analyst

2 Months ago • 4-5 Years • Data Analysis

Job Summary

Job Description

This Data Analyst role at Thales in Bucharest, Romania involves developing, updating, and maintaining the STAFR data model, as well as managing datasets for development and operation. The daily activities include data extraction from various sources, data transformation for organization needs, loading transformed data into storage systems, and ensuring data accuracy through validation and quality assurance. The role also includes documentation, data analysis for insights, and collaboration with the Group Data Management. The analyst will need to maintain clear communication with the development team and project stakeholders. The project aims to help reduce costs, deliver projects on time, and utilize resources efficiently.
Must have:
  • Bachelor's degree in a relevant field.
  • Proven experience in data analysis and ETL processes.
  • Strong analytical skills and attention to detail.
  • Experience working with data lakes.
  • Experience with SQL and database management.
  • Good communication with stakeholders and team members.
  • Ability to give and receive feedback.
  • English knowledge.
Good to have:
  • Experience with Talend.
  • French language skills.
  • Agile mindset & practices.

Job Details

Location: Bucharest, Romania

The 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

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

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