Job Description

Location:
Mississauga
Duration:
06 Months
Exp Required:
10 years
:
Collaborate closely with senior client stakeholders to understand pricing challenges and provide actionable, data-driven solutions. Work on high-visibility projects that influence strategic pricing decisions, customer price perception, and overall category performance. Harness structured and unstructured data across multiple systems to solve complex pricing and business problems. Integrate and streamline large datasets to build cohesive, scalable solutions. Design impactful dashboards and reports that answer core business questions and drive insights-based decision-making. Prioritize and handle pricing-related analytical requests, create delivery plans, and ensure timely, high-quality outputs. Define scope, success metrics, and project outcomes to measure the impact of pricing interventions. Lead end-to-end engineering, architect and build robust ETL/ELT pipelines, data warehouse smarts, and data lakes to support scalable analytics. Continuously optimize and evolve data integration processes, applying best practices in code versioning, deployment automation, and CI/CD for data pipelines. Create and maintain comprehensive documentation, and standardize engineering and analytics processes to ensure long-term scalability and collaboration.
Required Skills & Qualifications

• 4 years experience in delivering analytics or BI solutions, with experience in Retail or Pricing Analytics highly preferred.
• Strong skills in SQL and big data tools like Google BigQuery, HIVE, or equivalent platforms.
• Hands-on experience with data visualization tools like Tableau or Power BI.
• Experience building scalable ETL/ELT workflows and working with data warehouses, data marts, and data lakes.
• Familiarity with CI/CD practices, version control (e.g., Git), and automation tools.
• High proficiency with Office tools, especially Excel and PowerPoint.
• Strong communication and presentation skills, with the ability to explain complex analytics to non-technical collaborators.
• Analytical approach with an interest in creative problem solving.
• Proven experience working with global teams and managing delivery across on-site and offshore models.
• Bachelor's degree in Engineering, Business Analytics, MIS, Data Science, Statistics, or a related quantitative field (Master's preferred).

Preferred Skills & Qualifications

• Experience in Retail or Pricing Analytics.
• Master's degree in a related field.
• Experience with Google Data Engineering.

Day-to-Day Responsibilities

• Collaborate with stakeholders to identify pricing challenges and develop data-driven solutions.
• Work on high-visibility projects to influence strategic pricing decisions.
• Design and implement data integration processes and scalable analytics solutions.
• Create impactful dashboards and reports to drive insights-based decision-making.
• Optimize data integration processes and ensure best practices in code versioning and deployment automation.
• Maintain documentation and standardize engineering and analytics processes.

For immediate consideration please click APPLY to begin the screening process with Alex.

Skills Required