Senior Analyst, Analytics

Accountabilities

• Lead GEO/AEO analyses to evaluate brand visibility, citations, and answer quality across AI search platforms, benchmark competitors, and translate findings into prioritized recommendations.
• Analyze campaign, website, audience, and business performance data to identify trends, investigate drivers, answer strategic questions, and recommend actions.
• Use LLMs and AI tools throughout daily analytical delivery, including research, data analysis, query development, workflow automation, and prompt optimization, while validating outputs against source data.
• Contribute to the development of the internal data warehouse by gathering requirements, mapping source data, developing SQL transformations and reusable reporting tables, and validating results.
• Integrate data from marketing platforms, CRM systems, and internal tools while supporting ingestion, refresh workflows, discrepancy resolution, and recurring reporting automation.
• Establish consistent metrics and maintain clear documentation of data sources, transformations, assumptions, and data-quality controls.
• Build and maintain dashboards, reports, presentations, and other analytical outputs that translate complex findings into clear recommendations for clients and internal stakeholders.
• Design measurement plans and experiments, including repeatable GEO/AEO benchmarks, establish baselines, assess results, and clearly communicate limitations.
• Manage small client engagements from kickoff through delivery, including defining objectives, planning activities, tracking scope and deadlines, leading status meetings, presenting recommendations, and escalating risks.
• Supervise and mentor co-op students by providing onboarding, assignments, workload coordination, feedback, and quality oversight.
• Deliver small technical projects from requirements through development, testing, documentation, and handoff, using Python and AI coding tools to create scripts, automations, integrations, prototypes, and internal tools.

Requirements

• 2–4 years of experience in analytics, business intelligence, marketing measurement, or a related data-focused role; agency or consulting experience is an asset.
• Strong practical experience using LLMs and AI tools, including prompt and context design, iterative workflows, output validation, and responsible handling of confidential information.
• Advanced working knowledge of SQL and Excel for data cleaning, joining, transformation, and analysis, with familiarity with relational databases and data modeling.
• Experience creating clear, useful dashboards using a business intelligence or visualization platform.
• Familiarity with SEO, marketing measurement, AI search, and a strong interest in developing expertise in GEO/AEO; practical GEO/AEO experience is an asset.
• Strong Python skills for data cleaning, analysis, automation, and API integrations, along with the ability to use AI coding tools to develop, test, debug, and maintain working solutions.
• Experience with data pipelines, cloud data warehouses, or related data infrastructure is an asset, combined with strong judgment around data quality.
• Ability to manage small client projects, coordinate contributors, present analytical findings clearly, and translate technical insights into practical business recommendations.
• Experience mentoring, coaching, or reviewing the work of co-op students, interns, or junior colleagues.
• Excellent written and verbal English communication skills and the ability to collaborate effectively across analytics, strategy, content, and technology teams.
• B2B technology experience and French-language skills are considered assets.

Benefits

• Fully remote, full-time position based in Canada.
• Flexible work environment designed to support productivity and work-life balance.
• Opportunity to work with major B2B technology clients and on innovative AI-driven marketing and analytics initiatives.
• Hands-on exposure to GEO, AEO, LLMs, AI coding tools, data engineering, marketing analytics, and measurement strategy.
• Opportunity to contribute to internal data infrastructure and develop practical technical solutions.
• Collaborative environment spanning analytics, strategy, content, and technology disciplines.
• Opportunities to manage client engagements and develop leadership and mentoring skills.
• Professional growth opportunities within an innovative, technology-focused organization.