Fleet Business Data Analyst 31O25

The role of a Fleet Business Data Analyst is pivotal in optimizing fleet operations by meticulously analyzing data and providing insights to enhance decision-making processes. This position requires a keen understanding of data analytics, fleet management, and business operations to identify trends, forecast outcomes, and provide actionable insights. The analyst will work closely with the fleet management team and other stakeholders to develop analytical models, generate reports, and present findings that drive operational efficiencies and strategic initiatives. A successful candidate will demonstrate a strong ability to manipulate data from various sources, creating visual representations that facilitate easy understanding. This is an exciting opportunity to significantly impact an organization's fleet efficiency and cost management through data-driven strategies.

Responsibilities

• Analyze fleet data to identify trends and produce actionable insights.
• Develop and maintain databases to ensure data accuracy and accessibility.
• Create detailed visual reports to support strategic business decisions.
• Collaborate with fleet managers to understand operational needs and challenges.
• Design analytical models to forecast fleet performance and optimize operations.
• Monitor key performance indicators to track fleet efficiency and costs.
• Conduct periodic audits of fleet data for accuracy and gaps in information.
• Liaise with IT teams to enhance data reporting systems and tools.
• Support the implementation of data-driven policies and procedures in fleet management.
• Present findings and recommendations to stakeholders in an understandable format.
• Identify opportunities for process improvements through detailed data analysis.
• Stay updated with industry trends and technologies in fleet management.

Requirements

• Bachelor's degree in Data Science, Business Analytics, or related field.
• Proven experience as a Data Analyst, preferably in fleet operations.
• Strong proficiency in data analysis tools and software, such as SQL and Excel.
• Excellent problem-solving skills with a keen attention to detail.
• Strong communication skills to effectively present data insights and findings.
• Ability to work collaboratively with cross-functional teams and stakeholders.
• Knowledge of fleet management systems and data visualization tools.