Role overview

Description

Universal Truck and Trailer is Atlantic Canada's largest heavy-duty truck and trailer dealership, representing Freightliner, Western Star, and Heli Forklifts across New Brunswick and Prince Edward Island. We are seeking a Data Analyst to join our team and help transform data into actionable business insights. This role offers the opportunity to work directly with leaders across the organization, solving real business challenges through analytics, predictive modeling, and data visualization.

Why Join Us?

Work on meaningful business challenges that directly impact operations and performance.

Partner with leaders across multiple business functions.

Gain exposure to advanced analytics and business intelligence initiatives.

Be part of a team that values innovation, continuous improvement, and data-driven decision-making.

Enjoy opportunities for professional growth and career development.

Salary Range: $55,000 - $75,000

Responsibilities

Lead end-to-end analytics projects, from data extraction and preparation through analysis, modeling, and visualization.

Develop descriptive, predictive, and prescriptive analytics solutions that support business decision-making.

Partner with operational and business leaders to identify opportunities, solve challenges, and uncover actionable insights.

Integrate and analyze data from multiple sources, ensuring data quality, accuracy, and integrity.

Build dashboards, reports, and visualizations that enable leaders to monitor performance and make informed decisions.

Identify trends, patterns, and opportunities within complex datasets and communicate findings clearly to stakeholders.

Translate technical analysis into practical recommendations that drive business results.

Support continuous improvement initiatives through data-driven insights and performance measurement.

Qualifications

Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Statistics, Business, or a related field.

2–5 years of experience in data analytics, business intelligence, predictive modeling, or a related discipline.

Experience working with SQL and relational databases.

Proficiency with data visualization and reporting tools such as Power BI, Tableau, Alteryx, SPSS, or similar platforms.

Strong analytical, problem-solving, and critical-thinking skills.

Proven ability to communicate technical concepts and insights to non-technical audiences.

Experience building predictive or prescriptive models is considered an asset.

Demonstrated initiative, curiosity, and a commitment to continuous improvement.