Data Project Manager
5 days ago
We are seeking a skilled and experienced Data Project Manager to lead our team in managing projects centered around Business Intelligence (BI) tools and SQL Server technologies.
Key Responsibilities:- Project Management: Lead end-to-end project management for data-related initiatives, ensuring projects are completed on time, within scope, and budget.
- Plan, execute, and monitor multiple BI and data projects.
- Manage project timelines, risks, and resources.
- Ensure alignment between business requirements and technical implementation.
- Stakeholder Management:
- Collaborate with internal stakeholders to gather requirements and communicate project status.
- Act as the main point of contact between technical teams (data engineers, developers) and business units.
- Data Infrastructure & BI Stack:
- Oversee the development and maintenance of data warehouses, data marts, and reporting solutions.
- Ensure optimal use of Business Intelligence (BI) tools like Power BI, Tableau, or Qlik, with a specific focus on Microsoft SQL Server integration.
- Technical Expertise:
- Provide guidance on BI and data visualization best practices.
- Understand the architecture and optimization of SQL Server environments, including query optimization and data pipeline management.
- Work closely with data engineers to ensure efficient ETL processes and data modeling for reporting needs.
- Team Collaboration:
- Coordinate with business analysts and data scientists to deliver data insights through dashboards, reports, and analytics solutions.
- Lead agile project teams using Scrum or Kanban methodologies.
- Documentation & Reporting:
- Ensure proper documentation of data models, architecture, processes, and project plans.
- Generate status reports and project updates for executive leadership.
- Bachelor's or master's degree in computer science, Information Systems, Data Science, or a related field.
- Proficiency with BI tools (Power BI, Tableau, Qlik).
- Strong knowledge of SQL Server, including SSIS, SSRS, and SSAS.
- Experience with data warehouse design, ETL processes, and data modeling.
- Understanding of cloud technologies such as Azure Data Services, AWS, or Google Cloud.
- Proficient in SQL query optimization, performance tuning, and database management.
- 5+ years of experience in data project management, focusing on BI and SQL Server technologies.
- Proven track record of delivering data projects with BI tools (e.g., Power BI, Tableau, Qlik) and SQL Server environments.
- Strong experience in agile methodologies (Scrum/Kanban).
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