Senior Analyst, Data Operations

Omnicom Media US H&S•New York, NY

6h•$50,000 - $75,000•Hybrid

About The Position

The Company: Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation. The Data Operations team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients’ business goals.

Requirements

Familiarity in building data visualization solutions (Tableau, Datorama, etc.) as well as automation solutions (Alteryx, Datorama, etc.)
Good presentation and communication skills
Demonstrated knowledge of the function and formation of standardized taxonomy practices for more accurate and efficient data collection & automation
Familiarity with QA resolution
Familiar with planning, optimization and analysis tools (Planit, Prisma, DDS)
Demonstrated knowledge using self-serve tools within Search platforms (Google Ads, Bing, SA360), Programmatic DSPs (DV360, Yahoo, etc.), Ad Servers (CM360, Innovid, etc.), Social Platforms (Meta, Pinterest, TikTok, etc.) and Google Suite (Marketing Platform, Tag Manager, Analytics, Merchant Center)
A university degree in a related field, and 1-3 years of experience in advertising, management consulting, marketing or digital consulting
Knowledge of agency-side execution processes

Responsibilities

Development of data warehouse and visualization dashboards
Creation and maintenance of calculated measurements and dimensions
Development of dashboards using data visualization tools such as Datorama and Tableau
Consult with subject-matter experts to design and develop business rules for data processing
Setup and maintenance of data streams using business intelligence tools
Monitor, respond & resolve data stream failures
Ensure there are no gaps in measurements and dimensions
Create and maintain taxonomy generators for campaigns, placements, ad sets, etc.
Manage the development and maintenance of business intelligence tools
Ensure compliance of data quality standards
Work with investment teams on taxonomy resolution within ad servers
Create and conduct ongoing taxonomy QA check and inform internal teams of accuracy