Forward - Senior Data Analyst, Advanced Analytics & Data Science

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 Partner with the Director of RMN Analytics to design and build the analytics infrastructure and reporting framework, including data models, metric definitions and reporting standards. Build data models to define and track core business KPIs such as customer lifetime value (LTV), customer acquisition cost (CAC), ROAS and retention, plus new KPIs that fit how the business works. Develop recurring reporting and self-serve dashboards in Tableau or Looker on top of BigQuery so stakeholders can answer their own questions. Analyze marketing and RMN campaign performance (ROAS, CPA, reach and frequency, new-to-brand, funnel conversion) across onsite, offsite and paid channels. Support measurement work, including attribution modeling, incrementality and lift testing, A/B tests, and audience and customer segmentation. Work with marketing and engineering teams on web analytics tagging and tracking, so that data collection is accurate and complete. Act as a trusted analytics partner to client stakeholders: run regular performance readouts, scope ad-hoc questions, and turn complex findings into clear, data-driven stories and recommendations. Write production-quality SQL and Python to pull, transform and validate large datasets, and automate recurring workflows. What You'll Bring 4–7 years in marketing, advertising or e-commerce analytics, with hands-on work on campaign and media performance. Exposure to retail media or digital advertising measurement. Solid grasp of attribution models (last-touch, multi-touch, data-driven) and incrementality testing methods (holdouts, geo tests, lift studies). Experience building data models and defining business KPIs such as LTV, CAC and retention. Working knowledge of web analytics tagging and tracking (e.g., GA4, Google Tag Manager, ad pixels and conversion tracking). Strong SQL (BigQuery preferred) and working Python (pandas; statsmodels or similar). Experience building recurring and self-serve reporting in Tableau, Looker or similar. Comfortable with core statistics: hypothesis testing, regression, basic forecasting. Strong storytelling skills: able to turn data into compelling narratives and present them confidently to non-technical client audiences. Ownership mindset, comfortable helping build processes from scratch while delivering project work. Nice to Have Direct RMN experience (on the retailer side or with advertisers buying on RMNs). Experience with marketing mix modeling (MMM), causal inference or designing experiments. Experience with ad platform data (Google Ads, Meta, CM360) or retail ad servers. 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.