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, & focusing on at least two of the following areas: tracking & measurement, implementation, reporting, data visualization, testing & evaluation, data integration, or statistical modeling. You understand the nature & purpose of the main Digital marketing channels, enjoy collaborating with others, & are able to communicate clearly & effectively.

You will:

• Analyze complex data to find patterns, solve problems, & identify opportunities.
• Turn data into actionable insights through storytelling & data visualization.
• Design, build & automate analyses, reports, dashboards, & other deliverables.
• Gather marketing data across paid & owned channels to analyze campaign performances, understand user behaviors, & report findings.
• Assist in the ideation, development, & execution of measurement frameworks.
• Determine & implement methods to improve analytics processes.
• Collaborate with other disciplines & partner agencies to deliver comprehensive solutions to both internal & client requests.
• Occasionally support senior colleagues with analytics material for new business pitches & request for proposals.

You have:

• Advanced English level (B2+/C1)
• 1 - 3 years of experience in the role or similar. 
• Top-notch communication & 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 & how they interact with one another.
• Familiarity with marketing attribution models & techniques (e.g.: MMM, MTA, etc.)
• Experience with at least one data visualization platform (e.g.: Tableau, Datorama etc.).
• Experience working with statistical analysis techniques & quantitative methods.
• Familiarity with statistical programming languages, like Python or R. 
• Familiarity with the function of APIs & API data calls
• Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, & statuses to the necessary people.
• A drive to keep learning & offer your team support to grow & learn.

The Talent Team at Critical Mass is focused on ensuring we provide the best training, mentorship, & employee experience possible! CM new hires & employees are the future of our organization, & we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week. The ask stems from our want to:

Strengthen opportunity for continuous learning.

Improve collaboration & team relationships.

Increase employee engagement.

We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.