Business Analyst - Expert
- Toronto, ON, Canada
Pay Rate: $71.16/hr - $82.25/hr · Full-time
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Job details
- Pay
- Pay Rate: $71.16/hr - $82.25/hr
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
- Location: Toronto, ON - Hybrid (Currently one mandatory in-office day per week (Thursday), plus one Friday per month. There is potential for the requirement to increase to two in-office days per week, including a designated squad day)
- Pay Rate: $71.16/hr - $82.25/hr
- Contract Length: 12 Months with possibility for extension
Responsibilities
- Innovation & Value Realization – Champion a culture of innovation by identifying and implementing transformative AI and machine learning solutions that deliver measurable business value. Proactively seek opportunities to leverage emerging technologies to create competitive advantages, optimize client experiences, and drive revenue growth. Translate complex analytical initiatives into quantifiable business outcomes, demonstrating clear ROI and value realization across all engagements.
- Consultant – Be a leader and subject matter expert in Credit Cards. Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision-making, and proactively identify opportunities to drive business growth through projects and business cases, acquisition and retention campaigns, pricing, channels, segments, products, and process enhancements.
- Analytics – Independently identify and leverage the right statistical techniques, including descriptive, predictive, and prescriptive analytics, to extract actionable insights from client behaviours and business trends, both internal and external. Apply advanced machine learning algorithms and AI-driven methodologies to uncover hidden patterns and predict future trends with precision. Appropriately integrate big data, business intelligence, visualization, self-service, and analytical tools into engagements. Proactively explore new applications of advanced analytics, AI, and machine learning to innovate and build strategic analytics assets that create sustainable competitive advantages.
- Technology – Leverage big data and analytical tools to analyze large structured and unstructured datasets, build data pipelines, and create visualizations from multiple data sources. Implement and deploy machine learning models and AI solutions using modern MLOps practices, ensuring scalability, reliability, and continuous improvement of analytical assets.
- Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success. Think and act like an owner in analytics initiatives, ensuring business needs are properly identified and translated into analytics requirements while maintaining a relentless focus on value creation and measurable business impact.
- Communication – Find the story in the data and communicate at varying levels of detail for the right audience. Articulate the business value and innovation potential of AI and machine learning initiatives to both technical and non-technical stakeholders, building enthusiasm and support for transformative change.
- Business Analyst experience - 8 years
- Product Knowledge - 3 years
- Experience in a consultative role focusing on data analysis - 3 years
- Previous experience in the Credit Card business (Banking or credit card industry)
- Experience manipulating and synthesizing large volumes of complex information from multiple sources.
- Strong knowledge of data modeling and statistical analysis techniques.
- Experience working with multiple stakeholders.
- Experience working on an Agile team.
- SQL experience / Python Experience
- Digital analytics experience (Adobe)/
- Marketing background
- Direct Banking experience
- SAS experience (build and run macros)
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com
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More about this job
Responsibilities
Lead credit card analytics initiatives, applying statistical methods, AI, and machine learning to identify business opportunities and deliver measurable value. Own end-to-end solution delivery, including data analysis, pipeline and model implementation, and communicating insights to technical and non-technical stakeholders.
Requirements
Requires at least 8 years of business analyst experience, 3 years of product knowledge, and 3 years in a consultative data analysis role, along with credit card industry experience. Candidates should have experience with complex data, data modeling, statistical analysis, multiple stakeholders, Agile teams, and SQL or Python.
Skills
- Business Analysis
- Credit Card Business
- Data Analysis
- Statistical Analysis
- Data Modeling
- SQL
- Python
- Machine Learning
- Artificial Intelligence
- Big Data
- Data Pipelines
- Agile
- Stakeholder Management
- Business Intelligence
- Data Visualization
- MLOps
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Technology
- Consulting
Keywords
- Credit Cards
- Banking
- Business Analysis
- Data Analysis
- Artificial Intelligence
- Machine Learning
- Predictive Analytics
- Prescriptive Analytics
- Descriptive Analytics
- Statistical Analysis
- Data Modeling
- Big Data
- Business Intelligence
- Data Visualization
- Self-Service Analytics
- Data Pipelines
- MLOps
- SQL
- Python
- Agile
- Product Knowledge
- Credit Card Acquisition
- Retention Campaigns
- Pricing
- Digital Analytics
- Adobe Analytics
- SAS
- Marketing
- Direct Banking
- Stakeholder Management