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About the Role

This new role sits at the intersection of business, data, analytics and artificial intelligence. The successful candidate will combine strong technical capabilities with business acumen and client facing skills to help organizations solve complex problems, improve decision making and adopt modern data and AI enabled ways of working. The ideal candidate will be intellectually curious, technically strong and comfortable learning and applying new technologies. Using modern AI tools effectively is an expected part of day to day work. The candidate should be able to use AI to improve research, analysis, coding, problem solving, documentation and solution development, while applying professional judgment and validating outputs. As part of the team, you will support client and stakeholder needs while helping organizations advance their data, analytics and AI capabilities. You will translate complex business and financial requirements into practical technical solutions and communicate technical concepts in a way that is accessible to business stakeholders.

Responsibilities

Work with clients and internal stakeholders to understand business problems, define analytical requirements and translate them into practical data, analytics and AI solutions.
Apply business analytics to research, analyze and interpret complex information, identify meaningful patterns and develop actionable insights and strategic recommendations.
Identify opportunities where AI, automation or advanced analytics can improve existing business processes, analytical workflows or client solutions.
Design, prototype and implement AI enabled solutions and workflows where appropriate, including solutions using large language models, APIs, structured prompting, retrieval based approaches, workflow automation and other emerging AI technologies.
Develop analytics applications, reporting solutions and decision support tools using Power BI, Tableau and other visualization or analytics technologies.
Work hands on with data using SQL, Python, Power Query, Excel and related technologies to extract, transform, integrate, analyze and validate structured and unstructured data.
Design, build and maintain scalable data transformation and ETL processes that support analytics, reporting, AI applications and business decision making.
Apply statistical analysis, machine learning and other analytical techniques where appropriate, and translate technical outputs into practical business insights and usable tools.
Develop KPIs, metrics, analytical frameworks and data models that enable organizations to monitor performance and make more informed decisions.
Assess data quality, identify gaps or inconsistencies and apply appropriate validation and quality control procedures before information is used for analytical or AI driven decision making.
Collaborate with clients to define project requirements through interviews, workshops, research and data analysis, and contribute to project plans, timelines and implementation approaches.
Work closely with technical and non-technical stakeholders, clients, and other teams to support the successful implementation and adoption of data and AI solutions.
Communicate analytical findings and technical concepts clearly through presentations, reports, dashboards and other client ready deliverables.
Stay current on developments in analytics, artificial intelligence and data technologies, and proactively evaluate how new capabilities can be applied to client and internal business problems.
Apply responsible AI practices, including appropriate consideration of data privacy, confidentiality, security, accuracy, explainability and human oversight when using AI technologies.

Requirements

A bachelor's or master's degree in Computer Engineering, Computer Science, Data Science, Business Analytics, Statistics, Mathematics, Engineering, Economics or a related quantitative field.
Approximately 0 to 2 years of relevant experience in data analytics, data science, business analytics, technology consulting or a related field.
Strong analytical and problem solving skills combined with business acumen and an interest in understanding how organizations operate.
Strong hands on proficiency with SQL and Python or R.
Strong proficiency with Power BI or comparable business intelligence and visualization technologies.
Strong proficiency with Excel and familiarity with Power Query and other data transformation technologies.
Demonstrated ability to manipulate, analyze and validate complex datasets using a combination of SQL, Python, Excel and analytical tools.
Practical experience using generative AI tools to support professional work, with an understanding of how to structure effective prompts, provide appropriate context, evaluate responses and validate outputs.
Familiarity with large language models and modern AI concepts, including prompt design, APIs, retrieval augmented generation, AI agents or workflow automation. Deep specialization in all of these areas is not required, but candidates should demonstrate the ability and willingness to learn and apply new AI technologies.
Familiarity with analytical development practices such as version control, reusable code, documentation, testing and quality assurance is considered an asset.
Experience with cloud data or AI platforms such as Microsoft Azure, AWS or Google Cloud is considered an asset.
Exposure to financial fundamentals, financial analysis or financial modeling is considered an asset.
Strong written and verbal communication skills, with the ability to explain technical concepts to business audiences.
Comfortable working directly with clients and stakeholders to understand requirements, present findings and build trusted relationships.
Strong initiative and the ability to independently investigate unfamiliar problems, learn new technologies and propose practical solutions.
Motivated, detail oriented, rigorous and comfortable working in a fast moving consulting environment.
An interest in the continued development of data, analytics and artificial intelligence, with a demonstrated willingness to continuously learn as technologies and methodologies evolve.

Skills

Data Analytics
Data Science
Business Analytics
Technology Consulting
SQL
Python
R
Power BI
Business Intelligence
Data Visualization
Excel
Power Query
Data Transformation
Generative AI Tools
Large Language Models
APIs
Prompt Design
Retrieval Augmented Generation
AI Agents
Workflow Automation
Version Control
Reusable Code
Documentation
Testing
Quality Assurance
Microsoft Azure
AWS
Google Cloud
Financial Fundamentals
Financial Analysis
Financial Modeling
Communication Skills
Client Relationship Management

Location

Toronto

Work Type

Hybrid

Experience Level

0-2 years

Education Level

Bachelor's or Master's degree in Computer Engineering, Computer Science, Data Science, Business Analytics, Statistics, Mathematics, Engineering, Economics or a related quantitative field.

Salary/Compensations

$60,000-$90,000

Benefits

Competitive total cash compensation
Comprehensive benefits from day one
Flexible personal time off policy
Reimbursement for wellness initiatives

About the Company

BDO is a firm built on a foundation of positive relationships with our people and our clients.
Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust.
We offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.
Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026.
At BDO, our people experience is guided by three core pillars—Do work with genuine care, Do what matters with purpose, and Do what’s next - shaping how we support our people, serve our clients, and grow together.
We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
We support your achievement of personal goals outside of the office and making an impact on your community.
We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose.
We encourage innovation and forward thinking, empowering you to embrace what’s next and help shape the future of our firm.
BDO is actively involved in our communities by supporting local charity initiatives.
We support staff with local and national events where you will be given the opportunity to contribute to your community.
We pay for performance with competitive total cash compensation that recognizes and rewards your contribution.
We provide comprehensive benefits from day one, and a flexible personal time off policy.
We’re committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.
Our Code of Conduct sets clear standards for how we conduct business.
It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.
BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process.
While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

Equal Opportunity

We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers.
We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone.
We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring – and that these experiences strengthen how we work together.
Our commitment extends to ensuring that our application process is both inclusive and accessible.
If you require accommodation to complete the application process, please contact us.