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Added 8 mins ago
J
Business Analyst
Joblinxsapp
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- Full-time
The Central Agencies Cluster is seeking an experienced Senior Business Analyst to provide comprehensive I&IT business analysis services and support complex business and technology…
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Business Analyst - Expert
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- Full-time
We at Raise are hiring an Business Analyst - Expert for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.…
Added 1 hour ago
II
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Raise

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: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

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

We at Raise are hiring an Business Analyst - Expert for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work

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.

Must Have Requirements

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

Nice To Have Skills

Digital analytics experience (Adobe)/
Marketing background
Direct Banking experience
SAS experience (build and run macros)

Looking for meaningful work? We can help!

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

#FIN24

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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

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

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