Data Analyst
We are looking for an experienced Data Analyst to join our team on a contract basis in Toronto, Ontario. In this role, you will leverage your expertise in data analysis to support tracking and reporting processes for large-scale distribution operations. You will play a vital part in ensuring data accuracy, visualization, and delivery tracking.<br><br>Responsibilities:<br>• Analyze and interpret data from distribution operations to identify trends and improve tracking processes.<br>• Develop and maintain dashboards to visualize key metrics and support decision-making.<br>• Utilize SQL queries to extract and manipulate data for reporting purposes.<br>• Collaborate with stakeholders to ensure proof of delivery processes are accurately tracked and documented.<br>• Implement data mining techniques to uncover patterns and insights within large datasets.<br>• Create detailed reports to support operational improvements and business strategies.<br>• Ensure data quality and accuracy through rigorous QA management practices.<br>• Work with APIs, such as Maps API, to enhance data integration and functionality.<br>• Support the team in managing 400 receivers and 4000 units for delivery confirmation.<br>• Provide actionable recommendations based on data analysis to optimize distribution workflows.
• Proven experience in data analysis and visualization.<br>• Proficiency in SQL and data mining techniques.<br>• Ability to create dashboards using tools like Microsoft and Informatica.<br>• Familiarity with APIs, including Maps API, for data integration.<br>• Strong QA management skills to ensure data accuracy and reliability.<br>• Solid understanding of reporting and documentation processes.<br>• Experience with large-scale operations and tracking systems.<br>• Excellent problem-solving and communication skills.
<p>Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.</p>
<p>Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/ca/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more.</p>
<p>Questions? Call your local office at 1.888.490.3195. All applicants applying for Canadian job openings must be authorized to work in Canada.</p>
<p>Only job postings for jobs located in Quebec appear in French.</p>
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- Toronto, ON
- onsite
- Temporary
-
24.00 - 26.00 CAD / Hourly
- We are looking for an experienced Data Analyst to join our team on a contract basis in Toronto, Ontario. In this role, you will leverage your expertise in data analysis to support tracking and reporting processes for large-scale distribution operations. You will play a vital part in ensuring data accuracy, visualization, and delivery tracking.<br><br>Responsibilities:<br>• Analyze and interpret data from distribution operations to identify trends and improve tracking processes.<br>• Develop and maintain dashboards to visualize key metrics and support decision-making.<br>• Utilize SQL queries to extract and manipulate data for reporting purposes.<br>• Collaborate with stakeholders to ensure proof of delivery processes are accurately tracked and documented.<br>• Implement data mining techniques to uncover patterns and insights within large datasets.<br>• Create detailed reports to support operational improvements and business strategies.<br>• Ensure data quality and accuracy through rigorous QA management practices.<br>• Work with APIs, such as Maps API, to enhance data integration and functionality.<br>• Support the team in managing 400 receivers and 4000 units for delivery confirmation.<br>• Provide actionable recommendations based on data analysis to optimize distribution workflows.
- 2025-10-28T14:54:06Z