{"id":1343745,"url":"https://alion.io/job/publicisgroupe-analyst-amc-commerce","title":"Analyst, AMC Commerce","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":27,"ghost_share":0,"stale_share":0,"repost_share":0.037,"time_to_fill_p50_days":10,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50000,"max":60000,"currency":"CAD","period":"year","gross":null,"usd_annual":42148},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Postman","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-27T16:03:59Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-23T19:10:34Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Company Description\nSpark Foundry is the agency that is shaped by ideas. We believe everyone’s ideas are powerful - big or small. Our knack for exploring them makes us better.\nWe strongly believe in collaboration, where a thriving working relationship leads to everyone’s best work. Luckily, this conviction attracts likeminded clients and talent to create a positive and magnetic team.\nWe’re constantly adapting to each of our clients’ businesses’ needs to avoid stagnation. This ensures that our clients get the best service to tackle their future-facing challenges and that our team stays on their toes.\nAbove all, we love to go above and beyond what’s expected of us. We’ve done this through media innovation that is recognized by both the industry and by our clients who reap the benefits.\nThe near future is very bright for Spark Foundry, whether that’s a result of Publicis Groupe’s investment in groundbreaking global & local tools and data solutions or because of the contagious momentum amplified by new team members and new clients.\nOverview\nThe Analyst, AMC Commerce will support media and retail analytics through data modeling, data visualization, and clean room environments. This role is responsible for transforming complex datasets into actionable insights, supporting audience development, measurement, and data-driven decision-making across client initiatives.\nResponsibilities\nDefinition and automation of data analysis extracts for media and retail within data clean rooms.\nCreation of a data model enabling the ingestion and consolidation of data from various retail sources for visualization and analysis purposes.\nCollect, clean, and analyze data from various media platforms.\nWork with stakeholders to understand data needs and deliver actionable insights.\nEnsure data accuracy and integrity across all reports, dashboards, and visualizations.\nCritical thinking to analyze data and derive meaningful media insights.\nCommunicate findings and recommendations clearly to stakeholders.\nSupport media planning initiatives, including tactical and audience planning.\nAssist in knowledge sharing through internal communication events, training, and other written materials.\nMaintain relevant marketing certifications and stay informed of media trends, tools, and methodologies.\nWrite queries in clean rooms and other platforms to build custom audiences and measurement models such as Multi-touch attribution, Markov Chain, Incrementality models, etc.\nSupport wider agency and client initiatives.\nShow up - be accountable, take responsibility, and get back up when you are down.\nMake stuff.\nShare so others can see what’s happening.\nQualifications\n3 years of experience in Data Analysis\nFamiliarity with Amazon Marketing Cloud (AMC)\nFamiliarity with clean room technologies\nAdvanced knowledge of Python (NumPy, Pandas, cloud SDKs)\nAdvanced knowledge of SQL (window functions, DML)\nKnowledge of a cloud analytics stack (GCP/AWS), ideally GCP:\nData storage services (data lake & data warehouse), data transfer, data processing, machine learning\nKnowledge of Data Visualization, in Python and/or with data visualization tools (Power BI, Tableau, Looker, QuickSight)\nKnowledge of API querying (Python “requests” library, cloud SDKs, Postman)\nCritical thinking and experience with exploratory data analysis\nProfessional working proficiency in English\nOptional Qualifications\nKnowledge of web application development\nKnowledge of the media and advertising industry\nKnowledge of statistics and Machine Learning\nKnowledge of MLOps, including automation and monitoring of statistical models\nKnowledge of agent-based tool development\nAdditional Information\nSalary\nTransparency matters to us. The salary range for this position is $50,000-$60,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.\nAI Use\nWe use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.\nSpark is an equal opportunity employer with a strong commitment to diversity and inclusion. We create and nurture a vibrant work environment that celebrates, values and leverages all aspects of diversity and inclusiveness, attracts world-class talent and serves as the industry benchmark for best practices. We encourage applications from all qualified individuals and will provide appropriate accommodation for candidates with disabilities or accessibility needs throughout the recruitment process, upon request. Please contact our recruiter for any questions, accommodations or specific requests. 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