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Added 17 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 17 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 17 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 17 days ago
NB
Senior Analyst Middle Office
National Bank of Canada
Montreal, QC
- Full-time
Programming skill - VBA, Python, SQL would be beneficial
Added 17 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 17 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 17 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 17 days ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
We're looking to fill an opening for a Senior Manager, Data Governance Implementation, to join our Technology Partners team.
Added 17 days ago
AS
Senior Full Stack Developer (Python, Vue.js & GCP)
Aequilibrium Software Inc.
Remote, Canada
- Contract
- Remote
We are seeking an experienced Senior Full Stack Developer to join our team for a 12-month client engagement focused on modernizing legacy systems and delivering scalable, secure,…
Added 17 days ago
V
Application Developer
Virtusa
Toronto, ON
- Full-time
IBM Safer Payment SME - Senior Lead Software Engineer
Added 17 days ago
NB
Student Intern
National Bank of Canada
Richmond Hill, ON
- Full-time
Solid programming skills (i.e. SAS, SQL, Python, VBA, R, Matlab, etc.).
Added 18 days ago
E
Développeur DevOps
Ericsson
Montreal, QC · Quebec, QC
- Full-time
Expérience avec SQL et une exposition au développement front-end (TypeScript, HTML, CSS).
Added 18 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 18 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 18 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 18 days ago
M
Associate Director, Analytics
Monks
Toronto, ON
- Full-time
Hands-on experience with programming and analytical tools such as SQL, Python, R, or similar
Added 18 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
Added 18 days ago
AP
Senior Manager, Forward deployed Decision Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
Proficiency in Python and SQL, with experience using relevant statistical and machine learning libraries.
Added 18 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 18 days ago
NB
Senior Data Scientist
National Bank of Canada
AB · Edmonton, AB
- Full-time
data skills with tools and languages such as Python, Structured Query Language,
Added 18 days ago
NB
Associate Director IRRBB
National Bank of Canada
Montreal, QC
- Full-time
Experience with data analysis and programming (QRM, Python, SQL)
Added 18 days ago
UT
Développeur(euse) DevOps senior(e) | Senior DevOps Developer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Added 18 days ago
SG
IT Service Operations, API and Cloud Warehouse Integrations
S&P Global
Calgary, AB
- Full-time
10-15 years of proven experience in API integration and programming skills in Python, Java, JSON, SQL, XML.
Added 18 days ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 19 days ago
OT
Senior Software Developer (Microsoft 365 & Azure Integrations)
Open Text Corporation
Richmond Hill, ON
- Other
We are looking for a Senior Software Developer to design and build the integration layer between OpenText Content Management and the Microsoft ecosystem, including Microsoft Teams,…

Monks

Associate Director, Analytics

Toronto, ON, Canada

Salary Range$140,000 - $150,000 CAD · Full-time

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Job details

Pay: Salary Range$140,000 - $150,000 CAD
Job type: Full-time
Apply by: Nov 16, 2026
Posting language: English
Posted: Oct 17, 2026

Original job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

About The Role

As an Associate Director, Analytics, you will lead complex analytics and data science engagements, bringing together strong quantitative expertise, strategic thinking, and client leadership.

This role requires a strong foundation in data science and advanced analytics. You should be comfortable working with sophisticated analytical methodologies, evaluating data science approaches and outputs, and translating complex quantitative findings into clear business recommendations.

At the Associate Director level, you will also lead teams and workstreams, influence senior stakeholders, and help shape the analytical approach to complex client challenges. You may not be coding or building models every day, but you should have sufficient data science depth to credibly guide the work and challenge the methodology.

Responsibilities

Data Science & Advanced Analytics

Lead advanced analytics and data science work across complex client engagements. Apply and guide approaches such as statistical modeling, predictive analytics, experimentation, segmentation, forecasting, machine learning, or other advanced quantitative methodologies as appropriate to the business problem.

Evaluate analytical approaches and outputs, identify limitations and opportunities, and ensure that methodologies are rigorous, actionable, and connected to client objectives.

Complex Program & Engagement Leadership

Lead complex analytics projects or programs end to end across one or more accounts - shaping the analytical approach, orchestrating cross-functional teams, and owning outcomes at a senior level.

Strategic Analytics & Client Advisory

Translate sophisticated analysis and data science outputs into clear business implications and recommendations. Connect analytical findings to the client's broader marketing and business agenda.

Serve as a senior analytics partner to clients and internal stakeholders, helping frame ambiguous business questions into analytical problems that can be solved with data.

Team & Technical Leadership

Lead and develop analytics and data science talent, set expectations for analytical quality, and provide guidance on methodologies and approaches across multiple workstreams.

Partner effectively with data scientists, analysts, media teams, strategists, engineers, and other specialists to deliver integrated solutions.

Early Account Economics

Take first-line accountability for the economics of your workstreams - including utilization, scope discipline, and margin within your remit - and partner with account leadership on planning and resourcing.

Client Advisory & Growth

Build credible senior client relationships and identify opportunities where analytics, data science, measurement, or AI capabilities can address additional client needs.

AI-Enabled Delivery & Innovation

Identify qualified AI use cases and opportunities to incorporate AI-enabled approaches into analytics and measurement. Help evaluate where emerging technologies can create measurable value rather than applying AI for its own sake.

About You

The Essentials

7+ years of experience in analytics, data science, quantitative consulting, measurement, or a related field across an agency, consultancy, holding company, technology company, or sophisticated in-house environment
Demonstrated data science experience is required, with a strong understanding of advanced quantitative methodologies such as statistical modeling, predictive analytics, experimentation, machine learning, forecasting, segmentation, or related approaches
Experience leading complex analytics or data science projects from business problem definition through analysis, interpretation, and recommendation
Ability to evaluate and guide sophisticated analytical work, including methodology, assumptions, limitations, and business implications
Ability to translate complex quantitative findings into clear, actionable recommendations for non-technical and senior audiences
Experience partnering with or leading data scientists, analysts, and other technical specialists
Experience leading and developing teams
Demonstrated influence across functions, client teams, or portfolios
Credible senior client relationships and the ability to advise, not just deliver
Emerging account-economics literacy, including utilization, scope, and margin within a remit

Strong Plus

Hands-on experience with programming and analytical tools such as SQL, Python, R, or similar
Experience with experimentation, causal inference, marketing measurement, incrementality, attribution, or other advanced measurement approaches
Experience applying machine learning or predictive modeling to marketing or business problems
Experience integrating GenAI or agentic platforms with measurable outcomes
Quantified contribution to account growth or scope expansion
Recognized domain authority through frameworks, methodologies, or thought leadership
Experience developing reusable analytical methodologies, tools, or accelerators
Senior platform partnership experience with Google, Meta, Adobe, Amazon, or similar
Cross-domain experience across more than one IMA practice area

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

Monks is committed to ensuring equal access and participation for people with disabilities. We are committed to treating people with disabilities in a way that allows them to maintain their dignity and independence. We believe in integration, and we are committed to meeting the needs of people with disabilities in a timely manner. We will do so by removing and preventing barriers to accessibility and by meeting our accessibility requirements under local accessibility laws.

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary Range$140,000 - $150,000 CAD

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery - taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.

This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents - and resonates with - the world around us.

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More about this job

Responsibilities

Lead complex analytics and data science engagements, guiding rigorous methodologies and translating quantitative findings into actionable business recommendations. Manage teams and workstreams, advise senior clients, oversee workstream economics, and identify opportunities for account growth and measurable AI-enabled solutions.

Requirements

Requires 7+ years of experience in analytics, data science, quantitative consulting, measurement, or a related field, with demonstrated expertise in advanced quantitative methods. Candidates should be able to lead complex projects and teams, evaluate analytical work, communicate recommendations to senior audiences, and build credible client relationships.

Skills

Advanced Analytics
Data Science
Statistical Modeling
Predictive Analytics
Experimentation
Machine Learning
Forecasting
Segmentation
Marketing Measurement
Causal Inference
Client Advisory
Strategic Thinking
Team Leadership
Project Leadership
Account Economics
AI-Enabled Delivery

Visa sponsorship

Not detected in the job text

Keywords

Advanced Analytics
Data Science
Statistical Modeling
Predictive Analytics
Experimentation
Segmentation
Forecasting
Machine Learning
Marketing Measurement
Incrementality
Attribution
Causal Inference
Artificial Intelligence
Generative AI
Agentic Platforms
SQL
Python
R
Analytics
Data Science Methodologies
Client Advisory
Program Leadership
Team Development
Utilization
Scope Management
Margin Management
Account Growth
Google
Meta
Adobe

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