Job Overview:

• As a Business Analyst, you will play a key role in analyzing data and providing insights to support decision-making processes within the organization.
• You will be responsible for gathering requirements, developing dashboards and reports in Power BI, and analyzing asset management data to drive business performance and efficiency.

Responsibilities:

Data Analysis:

•  Collect, analyze, and interpret data related to asset management processes and performance.
•  Identify trends, patterns, and insights to support strategic decision-making.

Power BI Development:

•  Design and develop interactive dashboards and reports using Power BI to visualize asset management data.
•  Customize and optimize dashboards to meet the needs of stakeholders and end-users.

Requirements Gathering:

•  Collaborate with stakeholders to gather and document business requirements for data analysis and reporting.
•  Translate business requirements into technical specifications for Power BI development.

Data Modeling:

•  Develop data models and data relationships to support efficient data visualization and analysis in Power BI.
•  Ensure data accuracy, consistency, and integrity in asset management datasets.

Reporting and Visualization:

•  Create and deliver timely and accurate reports, presentations, and insights to stakeholders.
•  Communicate findings and recommendations effectively to drive informed decision-making.

Process Improvement:

•  Identify opportunities to improve asset management processes and systems based on data analysis and insights.
•  Collaborate with cross-functional teams to implement process improvements and drive efficiency gains.

Qualifications:

• Bachelor’s degree in Business Administration, Finance, Computer Science, or a related field.
• Proven experience as a Business Analyst, with a focus on data analysis and visualization.
• Expertise in Power BI, including dashboard design, report development, and data modeling.
• Experience in asset management or related fields (e.g., finance, operations, supply chain).
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
• Proficiency in SQL, Excel, and other data analysis tools.
• Knowledge of business process improvement methodologies (e.g., Lean Six Sigma) is a plus.