Data Analyst I (Ontario)

Data Analyst I (Ontario)

16 Oct
|
DAT Freight & Analytics
|
Ontario

16 Oct

DAT Freight & Analytics

Ontario

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

Strong 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, revenue operations, or GTM analytics

Personal projects, capstone work, or coursework involving data cleaning, visualization, or modeling

Our Culture:

Adaptable Work Model:



Enjoy a balanced hybrid approach with 2 in-office days.

Vibrant Workplace Culture: We celebrate achievements and strike the perfect balance between productivity and enjoyment.

Competitive Compensation Package: Benefit from an attractive salary, comprehensive advantages, annual performance bonuses, and an employee recognition program.

Secure Your Future: Take advantage of our 50% RSP matching and stock purchase options to build financial stability.

Generous Time Off: Recharge with our paid vacation policy, ensuring you maintain a healthy work-life balance.

Corporate Social Responsibility: Make a difference by participating in events, fundraisers, and environmental initiatives.

Collaborative Environment: Work alongside diverse teams, build strong professional relationships, and engage in networking events and team-building activities.

Innovative Technology: Work with cutting-edge tools and systems that keep us at the forefront of our industry

Company Values we Stand By:
Acting with Integrity, Owning It, Being Humble, Continuous Improvement & Customer Centricity

Fine Print: By applying to this position, you are confirming you either possess a Canadian citizenship, permanent resident status or work permit. In accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code Loadlink Technologies will provide accommodation throughout the recruitment and selection process to applicants with disabilities. If selected to participate in the recruitment and selection process, please inform Human Resources of the nature of any accommodation(s) that you may require.

Equal Opportunity Employer/Protected Veterans/Individuals With Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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

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