Description & Requirements
A data analytics professional using Power BI would be responsible for designing and developing dashboards and reports, analyzing data to identify trends and insights, and collaborating with stakeholders to ensure data accuracy and accessibility, all while focusing on project performance and decision-making.
Key Responsibilities:
- Data Analysis & Visualization:
Gather, clean, and prepare data from various sources, including databases.
Design and develop interactive dashboards and reports using Power BI to visualize key project metrics and performance indicators.
Analyze data to identify trends, patterns, and insights that can inform project decisions.
Create and maintain data models for efficient data retrieval and analysis.
- Collaboration & Communication:
Work closely with PMO staff, project managers, and other stakeholders to understand their data needs and requirements.
Translate business requirements into technical specifications for Power BI dashboards and reports.
Communicate findings and insights clearly and concisely to stakeholders, using data visualizations and reports.
- Database Access & Data Quality:
Ensure data accuracy, integrity, and security within Power BI systems and databases.
Collaborate with database administrators to manage data access and permissions.
Troubleshoot data issues and maintain the Power BI infrastructure.
- PMO Support:
Support project managers in monitoring project performance and identifying potential risks.
Provide data-driven insights to improve project planning, execution, and control.
Contribute to the development and implementation of PMO processes and methodologies.
Skills & Qualifications:
- Technical Skills:
Strong proficiency in Power BI, including data modeling, DAX, and Power Query.
Experience with SQL or other database languages.
Data analysis and visualization skills.
- Soft Skills:
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
- Experience:
Experience in project management or PMO environments is a plus.
Experience with data analytics and business intelligence tools.