Data-Driven Marketing Analyst

2 days ago

Calgary, Alberta, Canada Critical Mass Full time

As a Digital Marketing Insights Specialist at Critical Mass, your curiosity will never end. You will bring your analytical skills to help understand how marketing science fits into the big picture of a project. With 1 to 3 years of experience, you will own marketing science deliverables across a broad range of initiatives, 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 will:

  • Analyze data across a digital landscape to discover trends, solve problems, and identify opportunities.
  • Turn data into actionable insights through storytelling and data visualization.
  • Design, build, and automate analyses, reports, dashboards, and other deliverables.
  • Gather marketing data across paid and owned channels to analyze website performance, understand audience behaviors, and summarize findings.
  • Assist in the ideation, development, and execution of measurement frameworks.
  • Determine and implement methods to improve analytics processes.
  • Collaborate with other disciplines and partner agencies to deliver comprehensive solutions to both internal and client requests.
  • Occasionally support senior colleagues with analytics material for new business pitches and requests for proposals.

You have:

  • Top-notch communication and collaboration skills.
  • Experience with at least one website analytics platform (e.g., Google or Adobe Analytics).
  • Experience with at least one digital media platform (e.g., Google Campaign Manager, Google Ads, Facebook Insights, Search Ads 360, etc.).
  • Strong understanding of digital media channels (e.g., Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another.
  • Familiarity with marketing attribution models and techniques (e.g., MMM, MTA, etc.).
  • Experience with at least one data visualization platform (e.g., Tableau, Datorama, etc.).
  • A baseline understanding of statistical analysis techniques and quantitative methods.
  • Familiarity with statistical programming languages, like Python or R.
  • Familiarity with the function of data architecture, APIs, and API data calls.
  • Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people.
  • A drive to keep learning and offer your team support to grow and learn.

What We Offer

  • Global maternity and parental leave
  • Competitive benefits packages
  • Vacation, compassionate leave, wellness days, and flex days
  • Six free therapy sessions through Therify
  • Access to online services for families and new parents
  • Hybrid work options
  • Extensive winter holiday office closures
  • Summer Fridays (off at 3:00 PM local time every Friday)
  • Diversity and Inclusion Board with 12 affinity groups
  • Funding towards internal learning and development
  • Enterprise-wide employee discounts

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