Data Project Manager

Job Overview:

The Project Manager - Data Analytics and Reporting will oversee projects related to data analysis, reporting, and visualization. This role involves collaborating closely with data engineers, UX experts, and business stakeholders to ensure that data projects meet business requirements and are delivered on time and within budget. The Project Manager will play a crucial role in coordinating the development and integration of data sources, designing interactive dashboards, and resolving data defects.

Key Responsibilities:

• Develop and manage project plans for data analysis and reporting initiatives.
• Coordinate with data engineers to ensure the integration of relevant data sources and the availability of accurate datasets.
• Schedule and lead project meetings with cross-functional teams to track progress and address any issues.
• Work with business stakeholders to understand their data needs and translate these requirements into actionable project plans.
• Collaborate with UX experts to design effective data visualization solutions that meet business requirements.
• Oversee the development, design, and maintenance of interactive dashboards and reports.
• Conduct quality checks and data validation to ensure the accuracy and reliability of reports and visualizations.
• Implement solutions to address root causes of data issues and prevent recurrence.
• Ensure adherence to data governance and data security best practices.
• Maintain regular communication with project stakeholders, providing updates on project status and any changes to scope or timeline.
• Manage stakeholder expectations and ensure alignment on project goals and deliverables.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is a plus.
• Proven experience as a Project Manager in data analytics, business intelligence, or a similar field.
• Excellent organizational skills, with the ability to manage multiple projects simultaneously.
• Strong analytical and problem-solving skills, with a focus on translating business requirements into actionable project plans.
• Experience in quality assurance and data validation processes.
• Strong analytical and problem-solving skills, with a focus on translating business requirements into actionable project plans.
• Familiarity with Microsoft Azure data management suite (MSSQL, Data factories, Azure cloud monitoring, etc.) and Python scripting.

Preferred Qualifications:

• Understanding of data modeling and data architecture principles.
• Understanding of data governance and data security best practices