Analytics and Process Improvement Specialist - Challenger

Position: Analytics and Process Improvement Specialist - Challenger )
Challenger Motor Freight Inc. is an equal opportunity employer committed to creating a diverse, inclusive, and accessible workplace. We welcome applications from women, visible minorities, Indigenous peoples, persons with disabilities, and all qualified individuals.
If you require an accommodation at any stage of the recruitment process, please contact us at [email protected] and we will work with you to meet your needs.

Challenger, part of the Fastfrate Group, is a leading North American transportation and logistics provider, offering Full Truck Load (FTL) services across North America, supported by integrated logistics solutions. With advanced fleet capabilities, modern facilities, and a strong commitment to service excellence, Challenger supports a wide range of industries with safe, reliable, and efficient operations.
Employees at Challenger are part of a performance-driven culture focused on safety, innovation, and continuous improvement. Through advanced technology, ongoing training, and diverse career opportunities across driving, operations, maintenance, logistics, and administration, Challenger provides an environment where motivated individuals can build long-term, rewarding careers.
Why you’ll love working here:

A workplace where you can learn, grow, and build your career

A culture that encourages new ideas and continuous improvement

Supportive leaders who provide guidance while giving you autonomy

A team-focused environment

A competitive total-rewards package, including group benefits and a company-sponsored retirement savings plan

Support for professional memberships, training, and certifications

The Opportunity:
This is your chance to join a team where your work truly makes an impact. In this role, you will contribute directly to the success of our customers, our operations, and the Fastfrate Group as a whole. You’ll work in a supportive environment that values collaboration, problem-solving, and continuous learning.

Role

Summary:


The Analytics and Process Improvement Specialist is responsible for providing operational support, analysis, and recommendations for a variety of corporate initiatives, leveraging a wide variety of technical tools. This role will also assist in the development of process strategies for projects and supporting the process improvement cycle from strategy, analysis, design, and implementation through to monitoring the effective use of new or upgraded processes.

Acting as a critical conduit between technical data environments and business stakeholders, the individual will place a high emphasis on data science practices as it relates to improvements in business decision making and process. The incumbent supports the full process improvement lifecycle—from analysis and solution design through implementation, adoption, and performance monitoring—ensuring that technical solutions are practical, well-governed, and deliver measurable business value.

The Analytics and Process Improvement Specialist will provide customer specific network analysis, order optimization and network recommendations to internal stakeholders.

Hours of Work:
Monday to Friday, 8:00am–4:30pm

Work Arrangement:
On-site

Position Type:
Non-Union

Employment Status:
Permanent

Compensation:
Salary Range: $70,000 to $90,000

Work Location & Environment:
300 Maple Grove Rd., Cambridge, ON Canada
Office environment
Key Accountabilities:

Operational Analytics and Data Recommendations – 30%Leads or supports operational projects; provides analysis and data-driven recommendations that improve business decision-making.

Use SQL Server, SQL-based querying, ETL processes, Power BI, KNIME and related analytics tools to extract, transform, validate, analyze and present operational data.

Build and maintain repeatable data workflows that support recurring reporting, customer analysis, network analysis and operational decision-making.

Collaborate with Operations, Yield Management, IT, and other teams to identify business needs, set KPIs, and provide actionable data insights.

Support on-demand data requests from user groups, ensuring outputs are accurate, timely and clearly explained.

Identify gaps in data quality, process consistency or…