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Key Responsibilities
- Lead data projects end-to-end (scoping, planning, execution, and delivery).
- Gather and formalize business requirements related to data.
- Translate business needs into functional and technical specifications.
- Coordinate Data Engineering, Data Science, BI, and IT teams.
- Monitor project progress, risks, timelines, and budgets.
- Define and track project performance KPIs.
- Ensure data quality, governance, and compliance.
- Communicate regularly with stakeholders and management.
- Contribute to defining the data strategy and improving processes
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Required Qualifications
- Master’s degree (Bac+5) in Data, Computer Science, Engineering, Business Analytics, or equivalent.
- 3 to 7 years of experience in Data / IT / Analytics project management.
- Good understanding of modern data architectures (Data Lake, Data Warehouse, ETL/ELT).
- Knowledge of Cloud environments (AWS, Azure, GCP).
- Experience with project management tools (Jira, Confluence, Trello, Asana).
- Knowledge of Agile methodologies (Scrum, Kanban).
Technical Skills
- SQL and database understanding
- BI tools (Power BI, Tableau, Looker)
- Data Engineering concepts
- Data Governance and Data Quality
- Understanding of data pipelines
Key Skills
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