--- title: 'Forward - Senior Data Analyst, Advanced Analytics & Data Science at ShyftLabs' canonical: 'https://feeny.ai/job/forward-senior-data-analyst-advanced-analytics-data-science-shyftlabs-toronto-vvd9h35zcf3y' type: 'job' last_seen: '2026-11-03' --- # Forward - Senior Data Analyst, Advanced Analytics & Data Science at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-29 - **Last confirmed live:** 2026-11-03 - **Apply:** https://jobs.lever.co/shyftlabs/25630f03-761f-4a68-9ec7-fcc9c5f55b22 ## 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. ## What 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. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. 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