Manage and recommend modern measurement strategies for marketing campaigns, including statistical modeling, experiment design for incremental impact, customer analysis, and attribution-based measurement
Utilize large amounts of data to identify meaningful performance insights or opportunities for improvement using R, SQL and Python
Communicate findings to internal Power Digital stakeholders and clients simply and eloquently with actionable recommendations
Perform stats-based performance forecasting
Employ AI technologies to enhance and optimize business processes
Utilize and leverage Power Digital's Nova ecosystem as it relates to the department and coordinate delivery with teammates using Asana
Requirements
Bachelor's degree in Marketing, Business Administration, or a related field
2+ years of experience in marketing analytics
Proficiency in R or Python, and SQL
Strong data visualization skills using Looker, Tableau, PowerBI, or Excel
Experience with ETL tools, such as Funnel.io and Fivetran
Excellent communication and presentation skills
Proficiency in spoken and written English at an advanced level
Understanding of data science concepts like statistical modeling, experiment design, limits of statistics, and data infrastructure to support data science
Ability to work independently and as part of a team
Strong attention to detail
Self-motivated and able to work under pressure
Nice to have: Experience with digital data collection tools (GA4, Google Tag Manager, Adobe Analytics), ad platform reporting and data systems (3rd party pixels, product catalogs, and server-side tracking)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.