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Added 2 months ago
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Added 4 months ago
EB
Senior Data Analyst - Activations
EQ Bank | Canada's Challenger Bank
Toronto, Ontario
- Full-time
Expert in SQL for querying large, complex datasets (BigQuery Standard SQL is a plus).
Added 4 months ago
B
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Advanced knowledge of analytical tools (Advanced Excel, SQL, Power BI).
Added 4 months ago
BM
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Added 4 months ago
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Senior Software Engineer, Notebooks
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Knowledge of database internals and SQL is a plus.
Added 2 months ago
NF
Data Scientist 2
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Senior Data Engineer
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Senior Data Engineer
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Added 3 months ago
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Added 4 months ago
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Added 4 months ago
Implementation Analyst
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EQ Bank | Canada's Challenger Bank

Senior Data Analyst - Activations

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jun 23, 2026

Original job description

Join a Challenger

At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.

We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.

What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.

If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.

We can’t wait to get to know you!

The Work

As a Senior Data Analyst on the Activation, Next Best Action team, you will be instrumental in leveraging data, advanced analytics, and modeling to drive critical business outcomes. You will provide key insights that drive Next Best Action strategies across the customer lifecycle, helping optimize onboarding, activation, engagement, and long-term customer growth for banking products. You will leverage data to personalize customer journeys, improve channel performance and profitability, and support effective credit risk management for our credit card portfolio. This role requires a blend of technical expertise, strategic thinking, and strong communication skills to translate complex data into actionable recommendations across various functional teams.

\nWhat You'll Do

Leverage diverse datasets to generate actionable insights that support Next Best Action (NBA) strategies, optimize onboarding and activation journeys, and drive business growth.
Develop, monitor, and refine NBA strategies across various channels, utilizing advanced analytics, modeling, and statistical testing (e.g., A/B, multi-variate) to optimize profit.
Conduct in-depth analyses of onboarding campaigns, and customer journeys, identifying opportunities for revenue growth and cost reduction.
Design, develop, and present comprehensive reporting (daily, weekly, monthly, quarterly) and automated dashboards (e.g., Tableau, Looker) to monitor key performance indicators and track financial/operational controls.
Collaborate cross-functionally with marketing, product, sales, and media teams to define analytical requirements, implement end-to-end campaign tracking, and deliver customer-focused solutions.
Continuously improve and automate data extraction, analysis, and reporting processes to enhance efficiency and accuracy.
Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders, fostering data-driven decision-making.

What You Bring

Minimum of 3-5 years of progressive experience in data analysis, sales and marketing analytics, financial modeling, or data mining, with a strong focus on extracting actionable insights from large datasets.
Experience in digital banking, marketing, or credit risk is a significant asset.
Post-Secondary education or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science/Engineering, Operations Research, Economics, or Business Administration, coupled with a solid understanding of data analytics principles.
Expert in SQL for querying large, complex datasets (BigQuery Standard SQL is a plus).
Demonstrated experience with statistical software (e.g., SAS, R, Python) and/or programming/scripting languages.
Hands-on experience building and deploying machine learning models for customer segmentation, propensity modeling, and personalization.
Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics) and media platforms (e.g., Google Marketing Platforms, Facebook)
Proficiency in developing reports and interactive dashboards using BI tools (e.g., Tableau, Looker).
Strong understanding of database structures and schemas.
Advanced MS Office skills (Excel, PowerPoint).
Exceptional analytical, problem-solving, and critical thinking skills with the ability to synthesize complex information into clear, actionable recommendations.
Solid understanding of digital marketing and eCommerce best practices.
Proven ability to communicate complex analytical findings and strategic insights effectively, both verbally and in written presentations, to diverse technical and non-technical audiences.
Strong organizational skills and attention to detail, ensuring accuracy and quality in all deliverables.
Ability to manage multiple complex projects, prioritize effectively, and deliver high-quality results in a dynamic, fast-paced environment.
Demonstrated personal accountability and a results-oriented approach.

What we offer [For full-time permanent roles]

💰 Competitive discretionary bonus

✨ Market leading RRSP match program

🩺 Medical, dental, vision, life, and disability benefits

📝 Employee Share Purchase Plan

👶🏽 Maternity/Parental top-up while you care for your little one

🏝 Generous vacation policy and personal days

🖥 Virtual events to connect with your fellow colleagues

🎓 Professional development and comprehensive Career Development program

💛 A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

The incumbent will be working hybrid and in office time will be spent working from EQ Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON.

Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger - and our people thrive - when we honour and celebrate diverse experiences, identities, and perspectives. We’re equally committed to supporting your growth, both professionally and personally.

We provide a barrier‑free recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.

EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank™. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration.

To learn more, visit eqb.investorroom.com and eqbank.ca.

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More about this job

Responsibilities

Leverage advanced analytics and modeling to drive Next Best Action strategies and optimize customer onboarding and activation journeys. Design automated dashboards and collaborate cross-functionally to translate complex data into actionable business recommendations.

Requirements

Requires 3-5 years of experience in data analysis or marketing analytics with a quantitative degree in a field like Statistics or Computer Science. Must be expert in SQL and proficient in statistical software, BI tools, and machine learning model deployment.

Skills

SQL
Python
R
SAS
Tableau
Looker
Machine Learning
Google Analytics
Adobe Analytics
Financial Modeling
A/B Testing
Data Mining
Customer Segmentation
Propensity Modeling
Digital Marketing
BigQuery

Benefits

Competitive Discretionary Bonus
RRSP Match Program
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Employee Share Purchase Plan
Maternity/Parental Top-up
Generous Vacation Policy
Personal Days
Professional Development
Career Development Program

Visa sponsorship

Not detected in the job text

Keywords

BigQuery
SQL
Python
R
SAS
Tableau
Looker
Machine Learning
Google Analytics
Adobe Analytics
Next Best Action
Customer Lifecycle
A/B Testing
Multi-variate Testing
Customer Segmentation
Propensity Modeling
Digital Banking
Credit Risk
Financial Modeling
Data Mining
eCommerce
FinTech
KPIs
Database Schemas
MS Excel
MS PowerPoint

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