Our client, a leading Canadian financial institution, is seeking an experienced and consultative Senior Business Analyst / Analytics Specialist to join their AI, Data, and Analytics team supporting the Credit Cards and Everyday Banking portfolios.
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In this role, you will act as a pivotal bridge between technical data science squads and business stakeholders, leveraging predictive analytics, machine learning, and advanced data modeling to optimize credit card product performance, customer journeys, and marketing campaigns. You will analyze large volumes of transaction and consumer behavior data to deliver actionable insights, build strategic business cases, and present high-impact recommendations directly to leadership.
Advantages
Long-Term Engagement: Initial 12-month contract with strong potential for extension or conversion to full-time employment based on performance and business needs.
Cutting-Edge Technology: Work hands-on with advanced AI, machine learning, modern data stacks, and big data ecosystems.
Hybrid Work Flexibility: Downtown Toronto office location with a collaborative hybrid schedule (1–2 days per week on-site).
High Visibility: Lead strategic analytics engagements and directly present data-driven solutions to senior business leaders.
Responsibilities
Strategic Business Consulting: Act as a subject matter expert in consumer cards and everyday banking; translate complex business problems into analytics requirements and quantifiable outcomes demonstrating clear ROI.
Advanced Data Analysis & Modeling: Manipulate, clean, and synthesize large, complex structured and unstructured datasets using SQL, SAS (including macros), and Python/R to uncover behavioral trends, spending patterns, and campaign performance (test vs. control).
Machine Learning & AI Integration: Partner with data science squads to implement, evaluate, and operationalize predictive models and ML algorithms (supervised/unsupervised learning, clustering, regression, decision trees) to drive customer acquisition, card activation, retention, and pricing optimization.
Stakeholder Engagement & Storytelling: Find the narrative within the numbers; craft executive-ready presentations and dashboards (Tableau/Power BI) to communicate complex analytical findings and strategic forecasts to both technical and non-technical leadership.
Agile Squad Collaboration: Work within cross-functional Agile squads alongside product managers, digital analytics teams, marketing, and credit strategy partners to ensure end-to-end delivery of analytics assets.
Qualifications
8+ years of progressive experience as a Business Analyst, Data Analyst, or Analytics Consultant.
3+ years of direct domain knowledge in the Banking or Credit Cards industry (Credit Cards, Everyday Banking, Deposits, or Consumer Lending).
3+ years in a consultative, data-driven role translating raw data into strategic business insights.
Proven expertise extracting, manipulating, and querying large datasets using SQL and SAS (must have hands-on experience building and running SAS macros).
Solid background in statistical modeling techniques (regression, time-series forecasting, clustering) and familiarity with machine learning workflows/frameworks (e.g., Python, scikit-learn).
Strong track record operating within an Agile / Scrum framework.
Exceptional communication and presentation skills with demonstrated success storytelling to executive stakeholders.
Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, or related field).
Summary
Master’s degree in Analytics, Data Science, or Business (e.g., MMA, MBAN, MSc, MBA).
Experience with digital analytics platforms (e.g., Adobe Analytics).
Familiarity with modern data tools and cloud environments (Spark, Databricks, Azure ML, AWS, Snowflake).
Prior experience working within a Tier-1 Canadian financial institution.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
Our client, a leading Canadian financial institution, is seeking an experienced and consultative Senior Business Analyst / Analytics Specialist to join their AI, Data, and Analytics team supporting the Credit Cards and Everyday Banking portfolios.
In this role, you will act as a pivotal bridge between technical data science squads and business stakeholders, leveraging predictive analytics, machine learning, and advanced data modeling to optimize credit card product performance, customer journeys, and marketing campaigns. You will analyze large volumes of transaction and consumer behavior data to deliver actionable insights, build strategic business cases, and present high-impact recommendations directly to leadership.
Advantages
Long-Term Engagement: Initial 12-month contract with strong potential for extension or conversion to full-time employment based on performance and business needs.
Cutting-Edge Technology: Work hands-on with advanced AI, machine learning, modern data stacks, and big data ecosystems.
Hybrid Work Flexibility: Downtown Toronto office location with a collaborative hybrid schedule (1–2 days per week on-site).
...
High Visibility: Lead strategic analytics engagements and directly present data-driven solutions to senior business leaders.
Responsibilities
Strategic Business Consulting: Act as a subject matter expert in consumer cards and everyday banking; translate complex business problems into analytics requirements and quantifiable outcomes demonstrating clear ROI.
Advanced Data Analysis & Modeling: Manipulate, clean, and synthesize large, complex structured and unstructured datasets using SQL, SAS (including macros), and Python/R to uncover behavioral trends, spending patterns, and campaign performance (test vs. control).
Machine Learning & AI Integration: Partner with data science squads to implement, evaluate, and operationalize predictive models and ML algorithms (supervised/unsupervised learning, clustering, regression, decision trees) to drive customer acquisition, card activation, retention, and pricing optimization.
Stakeholder Engagement & Storytelling: Find the narrative within the numbers; craft executive-ready presentations and dashboards (Tableau/Power BI) to communicate complex analytical findings and strategic forecasts to both technical and non-technical leadership.
Agile Squad Collaboration: Work within cross-functional Agile squads alongside product managers, digital analytics teams, marketing, and credit strategy partners to ensure end-to-end delivery of analytics assets.
Qualifications
8+ years of progressive experience as a Business Analyst, Data Analyst, or Analytics Consultant.
3+ years of direct domain knowledge in the Banking or Credit Cards industry (Credit Cards, Everyday Banking, Deposits, or Consumer Lending).
3+ years in a consultative, data-driven role translating raw data into strategic business insights.
Proven expertise extracting, manipulating, and querying large datasets using SQL and SAS (must have hands-on experience building and running SAS macros).
Solid background in statistical modeling techniques (regression, time-series forecasting, clustering) and familiarity with machine learning workflows/frameworks (e.g., Python, scikit-learn).
Strong track record operating within an Agile / Scrum framework.
Exceptional communication and presentation skills with demonstrated success storytelling to executive stakeholders.
Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, or related field).
Summary
Master’s degree in Analytics, Data Science, or Business (e.g., MMA, MBAN, MSc, MBA).
Experience with digital analytics platforms (e.g., Adobe Analytics).
Familiarity with modern data tools and cloud environments (Spark, Databricks, Azure ML, AWS, Snowflake).
Prior experience working within a Tier-1 Canadian financial institution.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
