Marketing Science Analyst

The role

You will support an account focusing on media performance, measurement, reporting, data visualization, and activation. You will work with analytics leadership and client teams to build reporting, uncover insights, and improve measurement.

What you will do

• 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.
• 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.
• Present findings to internal teams and clients.

Required qualifications

• 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 governan
• 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.
• High attention to detail and a strong sense of ownership over data accuracy, deliverable quality, and deadlines.
• Curiosity, collaboration, problem-solving instincts, and the judgment to know when a number is meaningful versus simply loud.

Nice to have

• Experience working with SQL, Python, R, or other tools used to clean, query, analyze, or automate data.
• Familiarity with the function of data architecture, APIs, and API data calls.

Benefits

• Global maternity and parental leave
• Competitive benefits packages
• Vacation, compassionate leave, personal/sick days, and flex days
• Access to online services for families and new parents
• Early Dismissal Friday’s (off at 3:00 PM local time every Friday)
• 13 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts

About the company

Critical Mass is an equal opportunity employer.