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Day Shift Python Data Analyst Jobs in Toronto, ON

Knowledge of Python for data analysis and automation. * Experience with Power Query (M), DAX, and semantic models. * Understanding of ETL/ELT processes and data transformation concepts. * Experience ...

Data Analyst

Toronto, ON · On-site +1

Working knowledge of Python for analysis, automation, orMLadjacentuse cases. * Familiarity with ... Paid Volunteer days, unlimited sick days, and 3% RRSP matching * Work From Anywhere Program for up ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... Programming experience in Python, Bash scripting, R or related language * Working proficiency in ...

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

This role reports to the Data Engineering Manager. What You'll Do * SQL & Business Analysis ... Python, or similar tools. * Communication: Ability to explain complex analysis clearly to both ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Working knowledge and understanding of Python. * A strong analytical mindset and sophisticated ... This role follows our inoffice work model and requires employees to be onsite four days per week to ...

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

This role reports to the Data Engineering Manager. What You'll Do * SQL & Business Analysis ... Python, or similar tools. * Communication: Ability to explain complex analysis clearly to both ...

Senior Data Analyst

Toronto, ON · On-site

CA$60K - CA$80K/yr

SENION DATA ANALYST Key Responsibilities The ideal candidate has proven experience in ERP ... Experience with Python * Experience in manufacturing, logistics, finance, or distribution

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Python, SQL or other programming languages * 2+ years of experience with AWS Cloud Services (e.g.

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Python, SQL or other programming languages * 2+ years of experience with AWS Cloud Services (e.g.

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Python, SQL or other programming languages * 2+ years of experience with AWS Cloud Services (e.g.

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are seeking experienced Data Analysts to support a large-scale data migration and integration ... This role follows our inoffice work model and requires employees to be onsite four days per week to ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

Proficiency in Python, R, or similar language for data analysis and automation * Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI) * Strong ...

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Python, SQL or other programming languages * 2+ years of experience with AWS Cloud Services (e.g.

Business Data Analyst

Oakville, ON · Hybrid

CA$53K - CA$88K/yr

Oracle, Databricks, IKC, Azure, GCP, Big Query, Hadoop, Hive, Python, R, Shell Scripting, SAS ... In-office 4 days a week) We're always looking for great talent! In addition to competitive pay, we ...

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Other

Posted 5 days ago


Job description

About the Role

We are seeking a skilled Data Analyst to join our growing team in Toronto. This position is ideal for an analytical professional with 5-7 years of experience transforming complex data into actionable business insights. You will work closely with business stakeholders, technology teams, and leadership to analyze data, develop reporting solutions, improve decision-making, and support strategic initiatives across the organization.

This role requires a strong combination of data analysis, business intelligence, stakeholder engagement, and data visualization expertise.

Location: Toronto, ON (Hybrid - mandatory office presence)
Employment Type: Full-Time


Key Responsibilities
  • Collect, analyze, validate, and interpret large datasets from multiple sources.
  • Develop and maintain dashboards, reports, KPIs, and scorecards using modern BI tools.
  • Translate business requirements into meaningful analytical solutions and reporting frameworks.
  • Perform data profiling, cleansing, validation, and quality assurance activities.
  • Identify trends, patterns, risks, and opportunities through data-driven analysis.
  • Create and maintain semantic models, datasets, and data dictionaries.
  • Support business stakeholders with ad hoc analysis and data-driven recommendations.
  • Partner with technical teams to improve data quality, governance, and reporting capabilities.
  • Develop and automate reporting processes to improve efficiency and accuracy.
  • Present findings and actionable insights to both technical and non-technical audiences.
  • Support data governance initiatives and ensure compliance with data management standards.
  • Participate in Agile delivery teams and contribute to continuous process improvements.

Required Qualifications
  • Undergraduate degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, Engineering, Finance, or a related discipline.
  • 5-7 years of experience in Data Analysis, Business Intelligence, Reporting, or Analytics roles.
  • Strong experience with:
    • SQL
    • Power BI
    • Excel (advanced functions, pivot tables, Power Query)
    • Data visualization and dashboard development
    • Data modelling and KPI reporting
  • Experience gathering and documenting business requirements.
  • Strong analytical and problem-solving abilities.
  • Experience performing data quality assessments and validation activities.
  • Excellent communication and stakeholder management skills.
  • Ability to communicate complex analytical findings in a clear and concise manner.

Preferred Qualifications
  • Experience working with Azure Data Platform, Databricks, or cloud-based analytics solutions.
  • Knowledge of Python for data analysis and automation.
  • Experience with Power Query (M), DAX, and semantic models.
  • Understanding of ETL/ELT processes and data transformation concepts.
  • Experience operating in Agile/Scrum environments.
  • Familiarity with data governance, metadata management, and reporting best practices.
  • Exposure to banking, financial services, insurance, public sector, or consulting environments.

Technical Skills Required
  • SQL
  • Power BI
  • DAX
  • Power Query
  • Excel (Advanced)
  • Data Analysis & Reporting
  • Dashboard Development
  • KPI & Performance Measurement
  • Data Validation & Quality Control
Nice to Have
  • Python
  • Databricks
  • Azure Data Services
  • ServiceNow Reporting
  • SharePoint
  • Azure DevOps
  • Git

Success Profile

The ideal candidate is:

  • Highly analytical and detail-oriented.
  • Comfortable working with large and complex datasets.
  • Curious and proactive in identifying business opportunities through data.
  • Skilled at balancing technical analysis with business context.
  • Able to work independently while collaborating effectively with cross-functional teams.
  • Passionate about delivering insights that drive measurable business outcomes.

Salary Range : 75-90k/yearÂ