About LoadLink Technologies

Join Canada's leading freight and logistics software company, where we've been transforming how carriers, brokers, and shippers connect for over 30 years. As a wholly owned subsidiary of Roper Technologies (NYSE: ROP, S&P; 500), LoadLink combines innovative transportation technology solutions with Fortune 1000 stability.

About LoadLink Technologies

Join Canada's leading freight and logistics software company, where we've been transforming how carriers, brokers, and shippers connect for over 30 years. As a wholly owned subsidiary of Roper Technologies (NYSE: ROP, S&P; 500), LoadLink combines innovative transportation technology solutions with Fortune 1000 stability. Our best-in-class freight-matching platform helps customers grow their businesses, increase margins, and drive profitability by maximizing assets, optimizing rates, and expanding networks. From replacing the rolodex in 1990 to today's multi-platform solutions, we continue transforming how the commercial transportation industry connects, moves, and manages loads across Canada. Are you seeking a dynamic, stable, and growing company that values your contributions and fosters a fun work culture with a healthy work-life balance? If yes, Loadlink Technologies is the perfect fit for you Join our innovative team at the forefront of Canada's booming Tech and Transportation sectors, where your role is crucial in shaping our company's image

The Opportunity

DAT Loadlink is looking for a Data Analyst I to join our Revenue Operations team in our Mississauga, ON location.

What You’ll Do

Reporting & Analysis

- Maintain and update existing dashboards, scorecards, and self-serve reports




- Conduct ad-hoc analyses in response to business questions from Sales, Finance, Marketing, Customer Success, and other departments
- Extract and organize data from Salesforce and other core business systems to produce clean, usable datasets
- Maintain sales enablement reports tracking pipeline visibility and rep performance metrics

Data Support & Quality

- Monitor data pipelines feeding into Salesforce and connected BI/reporting tools, and flag or resolve data quality issues
- Work within the team's existing ETL/ELT tooling and integration platforms to keep data flowing reliably
- Provide data support to engineering and systems teams on infrastructure projects

Analytics

- Maintain and update forecasting outputs for revenue, churn, and other key business drivers using established models
- Analyze recurring revenue data, including MRR/ARR, deferred revenue, and subscription pricing performance, using existing frameworks
- Apply established methodologies to flag anomalies or outlier behavior in support of fraud detection efforts

Process & Documentation

- Identify and automate manual, repetitive reporting tasks
- Use AI tools to speed up data prep and day-to-day analytical work
- Document processes and data definitions to support team knowledge-sharing





The Skills And Experience You’ll Bring

Technical Skills

- Working knowledge of SQL for querying and joining data across relational databases (coursework or project experience welcome)
- Some exposure to Python and/or R for data manipulation (academic, personal, or professional experience all count)
- Solid Excel skills, including formulas and pivot tables
- Familiarity with Salesforce (SFDC) reporting and data extraction is a plus but not required
- Interest in or exposure to business intelligence tools (e.g., Tableau, Power BI, Looker)

Analytical & Domain Knowledge

- Coursework or applied experience in statistics, math, economics, or a related quantitative field
- General familiarity with machine learning concepts (clustering, regression) is a plus
- Understanding of B2B SaaS business fundamentals, including recurring revenue metrics (MRR, ARR, churn, NRR), is a plus

Soft Skills & Work Style

- Solid attention to detail and ownership over the accuracy of your work
- Comfortable operating in a fast-paced, cross-functional environment
- Clear communicator who can explain findings to non-technical teammates
- Self-directed, with a process improvement mindset
- Open to using AI-assisted tools and workflows as part of daily work
- Collaborative team player who contributes to a centralized analytics function serving the broader organization

Nice to Have

- Recent graduate in Data Analytics, Statistics, Computer Science, Economics, Business, or a related field
- Internship or co-op experience involving data analysis or reporting
- Prior exposure to CRM systems, rev

📌 Data Analyst I (Mississauga)
🏢 DAT Freight & Analytics
📍 Mississauga