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Added 4 mins ago
PV
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Forward - Senior Data Analyst, Advanced Analytics & Data Science
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ShyftLabs

Forward - Senior Data Analyst, Advanced Analytics & Data Science

Toronto, ON, Canada

$150,000 - $160,000 (CAD) · Full-time

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Job details

Pay: $150,000 - $160,000 (CAD)
Job type: Full-time
Posting language: English
Posted: Oct 29, 2026

Original job description

The Opportunity

ShyftLabs is a fast-growing data and technology company partnering with Fortune 500 organizations to deliver innovative, data-driven solutions. We help enterprise clients solve complex business challenges through modern data platforms, cloud technologies, artificial intelligence, and scalable software engineering.

We are seeking an experienced Senior Data Analyst, Advanced Analytics & Data Science to support Retail Media Network (RMN) initiatives for one of our enterprise clients. In this client-facing role, you will leverage advanced analytics, statistical modeling, and data science techniques to evaluate advertising performance, uncover actionable business insights, and support strategic decision-making.

You will work closely with business stakeholders and cross-functional technical teams to develop scalable analytical solutions, build stakeholder-ready dashboards, optimize campaign measurement, and identify opportunities for growth. The ideal candidate combines strong technical expertise in SQL, Python, and business intelligence tools with the ability to translate complex data into clear, actionable recommendations.

\nWhat You'll Be Doing

Conduct advanced data analysis, exploratory data analysis, statistical modeling, and hypothesis testing to identify trends, performance drivers, and actionable business insights.
Analyze Retail Media Network (RMN) campaign performance, attribution, return on ad spend (ROAS), and incrementality to evaluate advertising effectiveness and identify optimization opportunities.
Develop and implement predictive models, forecasting methodologies, customer and campaign segmentation, and machine learning solutions to address business challenges.
Design, build, and maintain interactive dashboards, analytical data models, and scalable reporting solutions using Tableau, Looker, or comparable business intelligence platforms.
Leverage SQL, Google BigQuery, and Python to extract, transform, analyze, and validate large datasets, ensuring analytical outputs are accurate, reliable, and scalable.
Apply statistical and data science methodologies to measure campaign effectiveness, evaluate performance drivers, and support advertising measurement and optimization strategies.
Automate recurring reports, analytical workflows, data validation processes, and other manual activities to improve operational efficiency and scalability.
Partner with client stakeholders and cross-functional teams to understand business requirements, define analytical approaches, and deliver data-driven recommendations.
Translate complex analytical findings into clear insights, visualizations, and presentations for both technical and non-technical audiences.
Manage analytical projects from discovery through delivery, proactively coordinating timelines, dependencies, risks, and deliverables.
Identify opportunities to improve analytical methodologies, reporting processes, experimentation, and predictive capabilities through continuous innovation.
Maintain comprehensive documentation of analytical methodologies, data definitions, business logic, and reporting processes to support consistency, transparency, and governance.
Provide guidance and mentorship to junior analysts, promoting best practices in data analysis, statistical modeling, reporting, and stakeholder communication.

What You'll Bring

4–7 years of professional experience in data analytics, business intelligence, advanced analytics, data science, or a related quantitative field, with demonstrated experience applying analytical techniques to business problems.
Strong proficiency in SQL and Google BigQuery, including querying large datasets, performing data transformations, developing analytical models, and optimizing query performance.
Hands-on experience with Python and analytical libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, or equivalent tools.
Demonstrated experience with statistical analysis, exploratory data analysis, hypothesis testing, regression, forecasting, segmentation, and other advanced analytical techniques.
Strong experience developing dashboards, visualizations, and reporting solutions using Tableau, Looker, or comparable business intelligence platforms.
Experience applying analytics to business performance measurement, campaign effectiveness, marketing analytics, advertising measurement, or similar domains.
Familiarity with advertising measurement concepts, including attribution, ROAS, incrementality, campaign optimization, and performance measurement, is highly desirable.
Experience automating analytical workflows, recurring reporting, data validation, and manual processes using SQL, Python, or scripting tools.
Strong understanding of data quality, metric definitions, data validation, analytical documentation, and data governance practices.
Ability to translate complex business questions into structured analytical approaches and communicate findings through clear, actionable business recommendations.
Demonstrated ownership of analytical projects, including the ability to independently manage multiple priorities, timelines, and deliverables in a fast-paced, cross-functional environment.
Strong communication, collaboration, and stakeholder management skills, with the ability to work effectively in a client-facing environment.

Nice to Have

Experience working with Retail Media Networks (RMNs), digital advertising, e-commerce analytics, or marketing measurement.
Experience evaluating campaign incrementality and attribution methodologies to distinguish observed performance from true incremental impact.
Familiarity with experimentation frameworks, A/B testing, causal inference, and measurement methodologies for assessing campaign effectiveness.
Experience developing and deploying predictive models or machine learning solutions to support business forecasting, segmentation, and optimization.
Experience working with large-scale cloud data platforms and modern analytical data environments.

Salary Range

$150,000 - $160,000 (CAD)

Why You’ll Love Working at ShyftLabs

Hybrid Flexibility: 3 days per week in our downtown Toronto office.

Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.

Growth & Learning: Continuous learning opportunities and influence over technical direction.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

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More about this job

Responsibilities

The Senior Data Analyst will conduct advanced analytics and statistical modeling to evaluate Retail Media Network campaign performance and drive strategic business decisions. They will build scalable dashboards, automate analytical workflows, and collaborate with cross-functional teams to deliver actionable data-driven insights.

Requirements

Candidates must have 4–7 years of experience in data analytics or data science with strong proficiency in SQL, Python, and business intelligence tools like Tableau or Looker. The role requires expertise in statistical analysis, advertising measurement, and the ability to translate complex data into clear recommendations for stakeholders.

Skills

SQL
Python
Google BigQuery
Tableau
Looker
Statistical modeling
Data science
Predictive modeling
Retail Media Network
Campaign measurement
Data visualization
Hypothesis testing
Machine learning
Attribution modeling
ROAS
Data governance

Benefits

Health insurance
Dental insurance
Vision insurance
Hybrid flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Advanced Analytics
Data Science
Retail Media Network
SQL
Python
Google BigQuery
Tableau
Looker
Statistical Modeling
Predictive Modeling
Machine Learning
ROAS
Attribution
Incrementality
Data Visualization
Business Intelligence
Hypothesis Testing
Data Governance
Marketing Analytics
Advertising Measurement
Cloud Technologies
Pandas
NumPy
Scikit-learn
Dashboarding
Automation
Stakeholder Management
Forecasting
Segmentation

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