Data Consultant at Neotalent Conclusion
Lisboa, Área Metropolitana de Lisboa, Portugal -
Full Time


Start Date

Immediate

Expiry Date

12 May, 25

Salary

0.0

Posted On

13 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHO ARE WE:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.
We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.
With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.
Neotalent, the responsive people.
Find out more about us at .

Responsibilities

ROLE OVERVIEW:

We are looking for a Data Consultant to integrate our team in a leading global energy and sustainability company!
You will be joining a Data & AI Center, supporting the Data & Analytics and Data Governance policies and best practices.

YOU WILL BE RESPONSIBLE FOR:

  • Supporting Data & Analytics and Data Quality initiatives;
  • Ensuring consistency in data governance policies and practices across all business platforms to maintain a unified and standardized approach and an alignment with regulatory requirements;
  • Implementing the technical data stewardship, ensuring a holistic data scanning and data lineage from the main operational and analytics applications;
  • Implement global initiatives to improve overall data quality, with a focus on common challenges faced by multiple business platforms;
  • Implementing monitoring mechanisms to track data quality, consistency, and adherence to policies across the organization.
Loading...