Determine data sources and information needs, and document new data requirements to guide data engineering teams
Access, compile, and organize large volumes of media, custom, and syndicated data from multiple sources
Ensure data accuracy by performing quality checks and resolving discrepancies
Collaborate with diverse team members—often across multiple time zones—to meet deliverables
Interpret data, analyze results, and generate insights that guide client actions
Produce visualizations (charts, graphs) and build presentations that summarize trends in a compelling, easy‑to‑understand way
Conduct deeper analysis to answer specific client questions
Deliver error‑free, timely work that communicates findings with clarity
Handle small ad hoc data pulls independently and support larger data requests
Create efficiencies by developing automation, whether through scripts, macros, or workflow models

A bachelor’s degree in Statistics, Economics, Data Science, or a related quantitative field
1–2 years of experience in a quantitative business environment, or a completed graduate degree
Experience working with media data or media platforms (such as Meta Ads Manager, Campaign Manager/DCM, SA360, or similar)
Familiarity with data visualization tools (Excel, Tableau, Power BI, Datorama)
Experience in SQL, Python, or R is a plus
Strong problem‑solving and critical‑thinking skills
Clear written and verbal communication skills
High attention to detail
Proficiency in PowerPoint and advanced Excel skills
Ability to collaborate effectively with team members across functions and time zones

Senior Associate, Marketing Effectiveness

Key skills