Data Analyst Data Science Jobs in Toronto, ON (NOW HIRING)

Responsibilities

Position Summary: 

As a Business Data Analyst, you will play a key role in analyzing and interpreting data from multiple sources, leverage data driven insights and automation solutions to guide strategic business decisions, streamline data workflows, and improve operational efficiency. This role requires strong technical skills, with a focus on data automation and process optimization. The ideal candidate possesses a strong analytical mindset and a strong problem-solving abilities, and can translate complex datasets into scalable, automated solutions and actionable business recommendations.

Position Responsibilities may include, but not limited to:

Data Automation, Analysis & Interpretation

• Extract, clean, and analyze large datasets from multiple data sources (JDE, KOMPASS, MBSYNC, Samsara, Paragon, among others) and data warehouse (Snowflake) to enable automated insights into business performance
• Design and maintain automated workflows and data pipelines to reduce manual reporting and improve data accuracy. Conduct deep-dive analyses to identify patterns, trends, and relationships that inform business decisions
• Assist in the design and deployment of analytics analysis to support process optimization and data insights
• Perform root cause analysis of business challenges and recommend automated, data-driven solutions
• Identify opportunities for process improvements, cost reductions, and efficiency gains using data and automation
• Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

Reporting and Visualization

• Design, develop, and maintain automated reports, dashboards, and visualizations
• Collaborate with department heads to define and track Key Performance Indicators (KPIs) relevant to the company’s strategic goals
• Translate business questions into data requirements and provide concise answers through self-service reporting and automation

Alternative Solutions (Machine Learning and AI Integration)

• Work with the global team to identify opportunities for alternative solutions
• Assist and support in the deployment of models that support operational decision-making
• Evaluate results and continuously improve automated solutions to align with business objectives
• Stay updated on emerging technologies and integrate modern automation techniques into business workflows

Data Quality & Governance

• Maintain data integrity, ensure consistency across automated processes. Collaborate with data ingestion and IT teams to close data gaps and improve automation readiness
• Ensure compliance with data privacy and internal governance standards
• Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

Stakeholder Collaboration

• Work closely with various business units (Operations & Transportation, Finance, Supply Chain, ROP, REX, Centralized Routing) to understand their business needs and develop tailored automation or reporting solutions. Present automated data insights and recommendations to senior leadership
• Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders to align automation efforts with priorities

Project Management

• Lead or contribute to cross-functional projects focused on
• data automation, insight generation, and continuous improvement. Track project milestones and ensure timely delivery of automation initiatives
• Other projects or duties as assigned

Qualifications

 Required Skills and Experience:

• Bachelor’s degree in computer science, data science or a related field. 2-4+ years of experience data automation and process optimization. Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across multiple data sources and warehouses
• Willingness to understand business operations and identify automation opportunities
• Experience of scripting languages (like Python, R, SQL) and data process workflow automation tools
• Strong analytical and problem-solving skills with attention to detail and commitment to data accuracy
• Excellent communication skills with the ability to explain complex data topics to non-technical stakeholders. Eagerness to explore alternative solutions that support data automation and process optimization insight delivery
• Collaborative mindset with a passion for innovation and continuous improvement
• This position must pass a post-offer background check

Preferred Skills and Experience:

• Master’s degree preferred

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage.
Physical Demands
The Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check
Offers of employment are contingent upon successful completion of a background check.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.
Transparency in the use of AI
Our recruitment process may utilize artificial intelligence (AI)-enabled tools, such as virtual assistant, to support candidates in exploring job opportunities, initiating applications, and obtaining answers to common questions. Artificial intelligence (AI) is not used to make final hiring decisions.All employment decisions are made by human reviewers.Qualifications:

 Required Skills and Experience:

• Bachelor’s degree in computer science, data science or a related field. 2-4+ years of experience data automation and process optimization. Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across multiple data sources and warehouses
• Willingness to understand business operations and identify automation opportunities
• Experience of scripting languages (like Python, R, SQL) and data process workflow automation tools
• Strong analytical and problem-solving skills with attention to detail and commitment to data accuracy
• Excellent communication skills with the ability to explain complex data topics to non-technical stakeholders. Eagerness to explore alternative solutions that support data automation and process optimization insight delivery
• Collaborative mindset with a passion for innovation and continuous improvement
• This position must pass a post-offer background check

Preferred Skills and Experience:

• Master’s degree preferred

Education:UNAVAILABLEEmployment Type: FULL_TIME