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:
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 request 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.).
Has 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
Our new hires & employees are the future of our organization, and 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 2 days a week.
