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Marketing Science AnalystCritical Mass · San Jose
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Critical Mass

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Marketing Science Analyst

🗓️ Posted 2026-09-30 San Jose Hybrid Marketing Communications
💰 Salary Not shared 📊 Market 6,000 CAD–9,000 CAD/mo

About the Company

We're Critical Mass. We are 2,000 inspired humans across 14 offices, setting the right path-not just the next one-for our clients, their customers, and our own colleagues. We work with the best, Apple, Adobe, BMW, Nike, Diageo, Airbnb, BNY and many more, to power connected ecosystems that make brands stand out by driving performance with data, technology, AI, creative and media. We're a global marketing agency founded in Canada, but digital is our home. If you know us, then you know we're a special place that attracts big talent and tiny egos. We're driven, uncompromising and we live our values. We're Critical Mass, but our friends call us CM. Learn more at criticalmass.com. Advertising Services Specialties: Digital Marketing, Brand Launch & Experience, User Experience & Interaction, Design, Insight & Planning, Digital Campaign Management, Social Media, Mobile, Technology Services, Experience Design, Experience Distribution, Marketing Science, eCommerce

About the Role

As a Marketing Science Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 1 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, and focusing on at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You understand the nature and purpose of the main digital marketing channels, enjoy collaborating with others, and are able to communicate clearly and effectively. You will support an account that focuses on media performance, measurement, reporting, data visualization, and activation. You will work closely with analytics leadership and client teams to build reporting, uncover insights, improve measurement, and make sure data is used to guide real marketing decisions - not just decorate slide decks.

Responsibilities

  • ● Turn data into actionable insights through storytelling and data visualization.
  • ● Analyze media and site performance to identify trends, explain changes, and recommend optimizations.
  • ● Build, maintain, and improve dashboards, recurring reports, and ad hoc analyses across media performance, campaign activity, and business outcomes.
  • ● Gather, validate, and QA data from analytics platforms, media platforms, dashboards, databases, and other relevant sources.
  • ● Support measurement strategy, including KPI definition, reporting requirements, tagging needs, testing plans, and performance frameworks.
  • ● Collaborate with media, strategy, creative, account, project management teams and partner agencies to connect data to broader marketing decisions and deliver comprehensive solutions to both internal and client requests.
  • ● Present findings to internal teams and clients in a clear, confident, and approachable way.

Requirements

  • ● 1-3 years of experience in marketing analytics, digital analytics, media analytics, business intelligence, consulting, or a related field.
  • ● Experience analyzing media performance, campaign results, customer journeys, or digital marketing effectiveness.
  • ● Experience with at least one digital media platform (e.g.: Google Campaign Manager, Google Ads, Facebook Insights, Search Ads 360, etc.).
  • ● Understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, Programmatic Display, etc.) including how each one works and how they interact with one another.
  • ● Expertise with at least one of the following engineering skills: database management, data architecture (ETL/data integration), setting up data connections with media tools, implementing data governance processes, automated data ingestion.
  • ● Experience working with Excel to clean, query, analyze, or automate data.
  • ● Experience with at least one of the following analytics and visualization tools such as Adobe Analytics, Google Analytics, Tableau, Power BI, Looker Studio, or similar platforms.
  • ● Has a baseline understanding of statistical analysis techniques and quantitative methods.
  • ● Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people.
  • ● High attention to detail and a strong sense of ownership over data accuracy, deliverables, and results.