Senior eCommerce Marketing Strategist

Cymax Group Technologies • Vancouver, BC

7d • Hybrid

About The Position

Cymax Group Technologies is seeking a driven and data-oriented Senior eCommerce Marketing Strategist to join their high-performance team. This role is responsible for the daily optimization and measurement of advertising and marketplace performance, focusing on turning raw data into actionable insights and immediate optimization decisions. The ideal candidate will be comfortable working directly with data, possess strong analytical skills, and be able to communicate complex findings to both technical and non-technical stakeholders. Cymax Group Technologies is a tech-enabled brand accelerator that helps leading brands and retailers succeed in the digital marketplace through advanced technology and data-driven strategies, operating in home, lifestyle, and adjacent categories with proprietary platforms like Channel Gate and Freight Club. They support hundreds of partners across North America, navigating complex marketplaces such as Amazon, Walmart, and Wayfair, and are recognized as one of Canada's fastest-growing technology companies.

Requirements

• Demonstrated expertise in marketing or marketplace analytics with a strong focus on PPC and paid search optimization.
• Deep hands-on experience analyzing Amazon, Walmart, and/or Google advertising performance at a senior individual contributor level.
• Strong SQL skills and proven ability to work with granular ASIN-, keyword-, and search term–level datasets.
• Proficiency in BI and visualization tools (e.g., Tableau, Looker, Power BI).
• Ability to communicate complex insights clearly and confidently to non-technical stakeholders.
• Genuine comfort with AI tools (e.g., Claude, ChatGPT, Perplexity).
• Curiosity about emerging AI capabilities in ecommerce and marketplace analytics.

Nice To Haves

• Experience working in Amazon Seller Central and/or Vendor Central environments.
• Strong understanding of Ecommerce retail metrics (ACOS, TACoS, Buy Box, organic rank, share of voice).
• Experience supporting large catalogs and high SKU/ASIN counts.
• Familiarity with Amazon, Walmart or Google attribution and brand analytics tools.

Responsibilities

• Perform daily and weekly analysis of ad performance, including Sponsored Products, Sponsored Brands, and Sponsored Display.
• Analyze search term-, keyword-, campaign-, and ASIN-level data to identify optimization opportunities related to bids, budgets, and targeting.
• Monitor and report on ACOS, TACoS, ROAS, CPC, CVR, and impression share, surfacing drivers of performance changes.
• Evaluate the incremental impact of Amazon advertising on total sales, profitability, and organic rankings.
• Conduct detailed SKU level analysis across advertising, traffic, conversion, pricing, inventory, and Buy Box performance.
• Identify and flag risks related to stock-outs, suppressed listings, or conversion issues impacting ad performance.
• Support product launches, promotions, and catalog changes with pre- and post-performance analysis.
• Build, maintain, and improve Amazon-first dashboards used by marketing and marketplace teams.
• Create recurring reports (daily, weekly, monthly) focused on actionable insights rather than static reporting.
• Ensure metric consistency between Amazon Ads, Seller/Vendor Central, and internal finance data.
• Write and maintain SQL queries to extract and transform ad performance data.
• Validate data accuracy and proactively troubleshoot discrepancies.
• Partner with data engineering to improve data pipelines and tracking where needed.
• Act as the embedded analytics partner for Amazon and marketplace teams.
• Provide clear, timely insights that directly inform daily optimization decisions.
• Share best practices, templates, and repeatable analyses with the broader analytics and marketing team.
• Use AI tools (e.g., Claude, ChatGPT, Perplexity) to accelerate analysis, draft reporting narratives, and generate hypotheses from data.
• Prompt LLMs effectively to produce useful outputs from complex, unstructured data.
• Utilize AI-assisted BI or analytics workflows (e.g., using AI to generate SQL, interpret trends, or automate recurring report commentary).
• Proactively apply new AI tools to improve team efficiency.

Benefits

• Health and wellness support for our team members and their families including an employee assistance program
• 100% paid health and dental benefits in Canada
• Paid time off
• Easy access to online and phone-based counselling services
• Hybrid-first flexible work environment
• Opportunities for professional development and career advancement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed