Loadsmart aims to move more with less. We combine great people and innovative technology to more efficiently move freight throughout North America. Our focus is on designing and building the best tools for our team and our customers, using machine learning models to connect freight with trucks. We automate with algorithms and scale with integrations to better match supply and demand. In doing this we reduce wasted fuel and lost time, cutting out empty miles for motor carriers and providing cost savings and instant booking for shippers.

You believe in game-changing innovations and are excited about re-imagining a 700 billion dollar industry.  You will play a decisive role in our pricing strategy by being an information hound in our current market and industry, finding data and turning it into useful solutions. You are a motivated self-starter with a passion for problem-solving. Your attention to detail is unmatched, your intellectual curiosity unending and your sense of ownership unwavering. You understand what can drive changes in the market and have a passion for getting lost in numbers and bid files.

Key Responsibilities:

• Work to implement the framework to evaluate and continuously improve our full truckload and drayage pricing strategy
• Leverage macroeconomic and industry level data and analytics to identify actionable business opportunities and improve our lane-level and company-level strategy
• Constantly pursue the KPIs defined by the Pricing Operations team that are associated with success for Loadsmart’s spot (day-to-day) and contracted (long-term) pricing
• Collaborate with Sales, Account Management, Carrier Sales, Data Science, and existing Pricing Operations teams to provide data-driven insights and to increase knowledge and understanding of the truckload market 
• Aid in designing the database structure for tracking bids and awards
• Understand and use the tools and resources available to ensure forecasted changes coalign with current processes

Qualifications

• Proficient in verbal and written English
• 1-2 years of experience in a highly analytical business role, including (but not limited to) consulting, finance, and technology
• Bachelor's Degree or equivalent work experience
• Effective analytical and problem-solving capabilities
• Able to excel alongside and within groups to maintain a collaborative work environment
• Detail oriented and focused
• Advanced Microsoft Excel skills and ability to develop a working knowledge of SQL
• Experience with macroeconomics, stock research and trading