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BDO Canada

Business Analyst, Data & Analytics – New Grad

BDO Canada

. Execute enterprise-level client engagements through various industry specializations .

Posted 9/15/2026full-timeToronto • CanadaEntry Level💰 CA$60,000 - CA$92,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing data models and analytics solutions, with proficiency in Azure Databricks, Python, and SQL. Capable of enhancing data query efficiency and building real-time data capture functionalities while ensuring high-quality deliverables.

Highest-signal resume keywords
Azure DatabricksPython ProgrammingData Visualization in Power BISQL and NoSQL DatabasesETL and ELT Data Architectures

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingData Query OptimizationDatabase DevelopmentData Processing SystemsScripting Languages
Soft Skills
Attention to DetailAdaptabilityClient Engagement
Tools & Technologies
Azure Data FactoryAzure Data LakeApache Hadoop EcosystemMicrosoft SQL Server Analytics StackDocker
Industry Keywords
Business IntelligenceData WarehouseData ScienceMachine LearningContinuous Integration

Tech Stack

Tools & technologies
ApacheAzureDockerETLGradleHadoopHDFSMavenMS SQL ServerNoSQLPythonSparkSQLSSISTableau

About the role

Key responsibilities & impact
  • Execute enterprise-level client engagements through various industry specializations
  • Engage directly with clients and drive implementation and successful end-user experiences of analytics solutions
  • Execute engagements and collaborate with clients and delivery teams to meet milestones and deliverables on time and on budget
  • Design and develop industry-specific data models for Natural Resources, Finance, Manufacturing and Distribution, and Retail projects
  • Enhance data models and improve data query efficiency with other engineers
  • Create complex data queries for ad hoc and exploratory analytics
  • Build real-time data capture and transformation functionality across products
  • Build out the technology stack for Business Intelligence and Data Warehouse
  • Review data for inconsistencies and identify opportunities to improve data collection processes
  • Transform or map raw data into more appropriate and valuable formats for analytics
  • Develop, construct, test and maintain databases and large-scale data processing systems
  • Design, construct, install, test and maintain highly scalable data management systems
  • Use languages and tools, including scripting languages, to integrate systems
  • Build or recommend data visualization and business intelligence tools, including interactive dashboards and automated reports
  • Stay current with development technologies to deliver state-of-the-art analytics solutions
  • Demonstrate BDO’s core values through all aspects of the work
  • Participate in adoption of digital tools and strategies to drive an innovative workplace
  • Grow expertise through learning and professional development

Requirements

What you’ll need
  • Post-secondary education in engineering or computer science or equivalent work experience
  • Good experience working with Azure Databricks, Azure Data Factory and Azure Data Lake
  • Programming experience in Python
  • Strong attention to the quality of work delivered and attention to detail
  • Ability to adapt quickly to changing client requirements
  • Experience using the Apache Hadoop ecosystem, including Spark, Data Lake, Hive, HDFS and Impala (asset)
  • Knowledge of ETL, ELT, Lambda and Kappa data architectures (asset)
  • Experience with the Microsoft SQL Server Analytics stack, including Core SQL, SSIS, SSRS and SSAS (asset)
  • Experience working with SQL and NoSQL databases (asset)
  • Knowledge of Continuous Integration and Source Control systems, such as Gradle, Maven, Bamboo, TeamCity and Git (asset)
  • Data Visualization experience in Power BI, Tableau or similar (asset)
  • Exposure to data science, machine learning or statistics (asset)
  • Some experience using Docker (asset)

Benefits

Comp & perks
  • Award-winning people-first environment
  • Personal and professional growth opportunities
  • Extensive learning and development opportunities
  • Support for personal goals and community impact
  • Collaborative, inclusive work environment
  • Innovation and forward-thinking opportunities
  • Local and national community charity initiatives and events
  • Comprehensive benefits from day one
  • Flexible personal time off policy
  • Wellness initiative reimbursement
  • Accessible and inclusive application process
  • Flexible/blended work arrangements across office, client site, and virtual work