Fleet Data Analyst

J.D. Irving, Limited; Moncton; On-site; CAD 55,000 - 75,000; Full time

Job summary

A leading company in Canada is seeking an Analyst to join their Retail Division Fleet team. This role involves using data analytics to improve performance, working closely with operational leaders to enhance fleet operations. Ideal candidates will have a bachelor's degree and experience in data analytics tools, particularly Tableau and PowerBI, along with strong communication skills. This position offers an opportunity to significantly impact the division's performance through data-driven strategies.

Qualifications

• Hands-on experience in data analytics tools and languages.
• Experience in developing machine learning models.
• Exceptional written and verbal communication skills.

Responsibilities

• Optimize fleet operations using deep dives and advanced analytics.
• Identify opportunities with fleet and operational leaders.
• Create and maintain reports and dashboards.

Skills

Data analytics tools

Critical thinking

Analytical problem-solving

Data visualization (Tableau, PowerBI)

Communication skills

Education

Bachelor's degree in relevant fields

Tools

Tableau

PowerBI

Job description

The Analyst will be a key member of the Retail Division Fleet team, tasked with leveraging data to improve performance. This role involves analyzing data related to fleet operations to identify areas for improvement and generate actionable insights. The analyst will collaborate with the team to translate these insights into strategies that enhance the division's performance.

Qualifications

• Hands on experience in data analytics tools and languages.

• Business acumen, critical thinking, analytical and problem-solving skills

• High Proficiency in creating meaningful data visualizations using Tableau, and PowerBI

• Exceptional written and verbal communication skills to present information to both technical and non-technical shareholders.

• Education and Experience:

• Bachelor's degree in business, Finance, Computer Science, Mathematics, Statistics, Economics, Engineering, or an applied science

• Experience in developing value-added machine learning models that optimize operations, reduce risk, and or prescribe outcomes

Responsibilities

• Use deep dives and advanced analytics to optimize fleet operations.

• Work with fleet and operational leaders throughout the organization to identify opportunities.

• Create, validate, and maintain reports and dashboards using various visualization tools

• Identify gaps and extend company’s data with third party sources of information when needed

• Deploy and manage analytical models to monitor performance and maintain accuracy of results.

• Automate reports and dashboards to improve efficiency and accuracy of data visualizations where appropriate