Measurement Analyst

Summary

Join Power Digital, a tech-enabled growth firm, and become a Marketing Analyst contributing to revenue and brand recognition for leading companies. You will manage and recommend modern measurement strategies for marketing campaigns, utilizing data analysis and reporting skills. Responsibilities include utilizing large amounts of data to identify performance insights, communicating findings to stakeholders, and employing AI technologies to optimize processes. The role requires a Bachelor's degree, 2+ years of experience in marketing analytics, proficiency in R or Python and SQL, and strong data visualization skills. Success in this role hinges on creative problem-solving, advanced statistical understanding, and effective communication.

Requirements

• Bachelor's degree in Marketing, Business Administration, or a related field
• 2+ years of experience in marketing analytics
• Strong data visualization skills using Looker, Tableau, PowerBI, or Excel
• Proficiency in R or Python, and SQL
• Experience with ETL tools, such as Funnel.io and Fivetran
• Excellent communication and presentation skills
• 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

Responsibilities

• Utilize large amounts of data to identify meaningful performance insights or opportunities for improvement using R, SQL and Python
• Communicate findings to internal PD stakeholders simply and eloquently, always leading to a “so what” and recommended action
• 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 your department

Preferred Qualifications

• Experience with digital data collection tools (GA4, Google Tag Manager, Adobe Analytics)
• Experience with ad platform reporting and data systems (3rd party pixels, product catalogs, and server-side tracking)
• Key Performance Indicators (KPIs)
• Quality, clarity, and accuracy of analysis output
• Delivery timeliness
• Quality of internal communication and teamwork
• A creative, problem-solver mind with a foundation of hard data skills
• Advanced understanding of statistical concepts: advanced modeling, experiment design, customer analysis, limitations of statistics, etc