Data Analyst
Posted 19 May 2026
Advertised as “Senior Data Analyst, Data Management & Visualization ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 1–3 yrs
- Management level
- Individual contributor
No salary listed for this role.
Business Overview
IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.
Position Overview
The Senior Analyst, Data Science will be responsible for driving key technology and modeling developments associated with marketing analytics in the media sector. This person will use sophisticated data science techniques to conduct statistical analysis against large volumes of data. The ideal candidate must be comfortable solving business problems by exploring large datasets, proactively communicate ideas and opportunities, and will contribute to the growth and development of an analytics team.
Responsibilities
· Manipulate & architect large data sets to analyze our clients’ businesses across multiple dimensions (sales, brand equity, search interest, website visits, social media, advertising activities, etc.)
· Develop and maintain automation tools and ETL workflows with coding
· Build data flows and develop attribution models with multiple large data sources
· Contribute to the team’s AI Infrastructure development
· Create effective data visualization to illustrate critical insights and analysis
· Generate audience, campaign and market insights to affect improvements toward clients’ business and media goals
· Collaborate with research, ad-operation, programmatic, verification and investment teams to improve procedures and performance
· Contribute to the department’s overall capabilities and understanding of media and communications channels
Required Skills and Experience
· Experience in working with large datasets
· Knowledge of modelling techniques including Regression, Exponential Smoothing, ARIMA, Decision Tree, and/or Random Forest