Senior Analyst, Data Operations

Publicis Groupe
San Francisco, CA, United States
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$101,322.0 - $112,554.0
Working hours
Regular working hours
Job source

Tech stack

Midjourney Amazon Web Services Python (Programming Language) Power BI DataOps SQL Databases Tableau (Software) Data Processing Google Cloud Google Data Studio Generative AI Data Management
+2 more
GPT Alteryx

Job description

  • Setting up and/or maintaining dataflows in data wrangling tools like Alteryx or Google Dataprep
  • Creating and/or maintaining SQL scripts
  • Where applicable, working with data engineers to assure specifications are understood and followed
  • Being responsible for ensuring that campaign performance data is easily accessible and reliable
  • Monitoring, troubleshooting, and remediating data quality across marketing data systems ensuring full understanding of client deliverables
  • Designing and executing data quality checks
  • Keeping up to date on digital media operations - new partners, buy changes, etc.
  • Governing taxonomy additions, application, and use
  • Serving as a knowledge expert for media and site data processes and identifying areas of improvement to ensure appropriate turnaround times and data quality standards are being met
  • Evaluating opportunities for simplification and/or automation for reporting and various processes
  • Influencing teams towards data-informed decision-making and analytical thinking
  • Promoting a culture of process documentation
  • Providing guidance on process improvements and best practices for data management
  • Working closely with other Data and Analysis teams, providing recommendations and direction on visualization of our data
  • Empowering your team to live the Digitas values to be open, bold, and curious

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. Tableau, PowerBI, Google Data Studio)
  • Knowledge and experience with Python and/or R a plus
  • Experience with tools like Alteryx a plus
  • Experience working with Google Cloud and AWS a plus
  • Comfortable in a fast-paced and deadline-driven environment
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

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