Commerce Analytics Director- Retail Media

Mars Advertising, Inc.; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading global commerce company in Toronto is seeking a Commerce Analytics Director to manage data infrastructure and analytics engineering. This role requires 7-9 years of experience in retail media analytics and strong SQL or Python skills. The ideal candidate will liaise between technical teams and stakeholders, drive insights from data, and produce key reports. The company offers a supportive work environment with comprehensive benefits.

Benefits

Comprehensive group health plans

Parental leave program

Flexible paid time off

Tuition support and assistance

Qualifications

• 7-9 years of deep commerce or retail media analytics experience.
• Proven ownership of end-to-end reporting pipelines.
• Ability to translate technical data processes into clear business insights.

Responsibilities

• Assess where APIs are unavailable, design alternate workflows.
• Produce monthly commerce reports and quarterly executive reports.
• Partner with engineering team to define required data sources.

Skills

Commerce or retail media analytics experience

SQL or Python for data preparation

API integrations

Data storytelling

Applied data science skills

Job description

Mars United Commerce powered by Marilyn, is a global commerce company that delivers all the solutions clients need to grow their business today and tomorrow. Founded by the late Marilyn Barnett, we’ve become global leaders in four key commerce disciplines - Strategy & Analytics, Digital Commerce, Content & Experiences, and Retail Consultancy - that together form a United Commerce Ecosystem that provides all the expertise clients need to navigate the commerce marketing landscape. Our 800+ Martians across North America, Europe, Australia, New Zealand and Asia exist to drive growth for our people, our clients, and our communities all across the globe.

We’re looking for a Toronto-based Commerce Analytics Director to help our clients navigate the dynamic, fast-changing retail media landscape. As a Commerce Analytics Lead, you play a crucial role in developing and maintaining the data infrastructure that supports our analytics engineering capabilities. You work closely with data scientists, analysts, strategic planners, and other disciplines to ensure data quality and accessibility and implement best practices for data governance and security.

Please note, this person must reside within a commutable distance of Mars United Commerce's Toronto office.

Part of the overall Analytics Group, this person is responsible for data modeling automation and preparing data needed by the Data Science team for modeling and the Business Analytics team for data analysis. This will involve documenting the data cleaning and transformation processes, automating these processes, ensuring data governance practices are followed, and maintaining a data catalog. The team is also responsible for developing all PowerBI dashboards based on client needs or Data Science outputs.

PRIMARY RESPONSIBILITIES:

• Assess where APIs are unavailable, design alternate extraction or manual workflows to obtain “long-tail” retailer data.
• Define business-ready metrics and KPIs for commerce performance, ensuring consistency across monthly and quarterly reports.
• Pull, validate, and blend brand, retailer, and media data into reporting datasets; troubleshoot data gaps and quality issues proactively.
• Produce and deliver the monthly commerce report, quarterly executive report, and any ad-hoc insight decks requested by TCCC.
• Translate data findings into concise insights and recommendations for stakeholders.
• Serve as the primary point of contact for data access questions, aligning with stakeholders on credentials and resolving any miscommunication.
• Partner with engineering team to define required data sources, schema, and capture methods for commerce reporting.
• Build and maintain an inventory of retailer platforms that includes API endpoints, documentation links, sample code, and access credentials.
• Track reporting deadlines, manage stakeholder expectations, and escalate blockers early to ensure on-time delivery.
• Support MMM data preparation and leverage MMM outputs to drive budget planning and investment recommendations.
• Build audiences in clean rooms like AMC, Walmart Clean Room for targeting and measurement.

SKILLSETS REQUIRED:

• 7-9 years of deep commerce or retail media analytics experience, with proven ownership of end-to-end reporting pipelines.
• Strong SQL or Python for data prep, plus familiarity with API integrations and authentication flows.
• Ability to translate technical data processes into clear business insights.
• Comfort liaising between technical engineering teams and non-technical stakeholders.
• Applied data science skills – regression, time-series, marketing mix modeling, and other statistical techniques – with the ability to turn MMM outputs into budget and investment scenarios.
• Strong data-storytelling: translate complex analysis into clear insights and actionable recommendations.

Mars United Commerce is an Equal Opportunity Employer and will recruit, hire, train and promote persons in all job classifications without regard to race, ancestry, creed, color, sexual orientation, gender identity, age, national origin, disability or handicap, HIV, veteran, marital or family status, or any other status or condition protected by applicable province and/or federal laws, except where a bonafide occupational qualification applies.

Mars United Commerce has developed a wide variety of inclusive benefit plans and policies that address and promote the needs of all employees and their family members, including comprehensive group health plans, a parental leave program that includes paid maternity and paternity benefits for pregnancy, adoption and surrogacy, flexible paid time off, a broad and confidential employee assistance program, ongoing wellness support initiatives, trusted financial health advice and guidance, promotion of education through tuition support and assistance, and a flexible and supportive work environment and culture.

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