Senior Analyst, Data Operations

Publicis Groupe•Chicago, IL

18d•$73,150 - $101,000

About The Position

Our Data & Analysis team is a group of curious, agile, and collaborative strategic analysts. We collect, connect, and analyze data, transforming it into meaningful stories that drive overall marketing strategy and smarter business decisions. To help with this, we're looking for an outstanding Data Operations Senior Analyst— someone who welcomes ambiguity, thinks critically and strategically, has a passion for connecting people and processes more efficiently, is excited to improve and maintain tools used to support a strong data foundation. Sound like you? Read on.

Requirements

3-4 years of applicable experience
A four-year college degree; advanced degree is a plus
Strong attention to detail
Excellent oral and written communication skills
Passion for problem solving
Passion for data automation and finding efficiencies in current processes
Passion for digital marketing, eagerness to learn in a constantly changing space, and a natural curiosity
Proficient with SQL and data visualization tools (i.e. Google Looker, Tableau, PowerBI)
Comfortable in a fast-paced and deadline-driven environment

Nice To Haves

Knowledge and experience with Python and/or R a plus
Experience working with Google Cloud Platform (including BigQuery) a plus

Responsibilities

Analyze data and consult with subject matter experts to design and develop business rules for data processing
Create and/or maintain SQL scripts
Where applicable, work with data engineers to assure specifications are understood and followed
Be responsible for ensuring that campaign performance data is easily accessible and reliable
Monitor, troubleshoot, and remediate data quality across marketing data systems ensuring full understanding of client deliverables
Design and execute data quality checks
Keep up to date on digital media operations - new partners, buy changes, etc.
Govern taxonomy additions, application, and use
Serve as a knowledge expert for media and site data processes and identify areas of improvement to ensure appropriate turnaround times and data quality standards are being met
Evaluate opportunities for simplification and/or automation for reporting and various processes
Influence teams towards data-informed decision-making and analytical thinking
Promote a culture of process documentation
Provide guidance on process improvements and best practices for data management
Work closely with other Data and Analysis teams, providing recommendations and direction on visualization of our data