Leo Burnett Detroit is a mid-size full-service advertising agency within the worldwide dynamic powerhouse of the Publicis Groupe network. We work with big brands. We believe and act as though anything is possible, and there is a lot of work to be done. Our business is client-centered and creatively focused and we encourage a great deal of autonomy and accountability in our teams. We have direction and focus, but we gravitate to people that do not take themselves too seriously. We promote a casual, friendly and fun atmosphere in our office.

Advanced Analytics Lead

The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.

We are looking for an energetic, naturally curious individual who has outstanding advanced analytic skills, focusing on applied statistics, predictive modeling and consumer trends to answer big picture marketing and advertising questions. This person will not only need to have the chops to conduct complex analyses but be able to synthesize results and translate findings into compelling and simple stories that resonate with clients.

To help with this, we’re looking for an outstanding Advanced Analytics Lead – an intellectually curious and creative problem solver who is willing to tackle the familiar and unfamiliar of all things data, including methods, technologies, and applications. Sound like you? Read on.

What you’ll do:

As an Advanced Analytics Lead, you’ll solve complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—by accessing, integrating, manipulating, mining and modeling a wide array of data sources.

Day-to-day, your role includes: 

• Translating and reframing marketing and business questions into analytical plans.
• Using programs such as SAS or Python to ingest, access and integrate disparate big data sources
• Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications
• Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data
• Building and testing scalable data pipelines or models for real-time applications.
• Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences
• Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines
• Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data & Analytics practice

We’re looking for:

Rigorous analytic training and 5+ years of professional experience in a data science or analytics role, which typically includes:

• A Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
• Hands-on experience mining data for decision-focused insights.
• Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
• Hands-on experience using Python or R, SQL
• Demonstrated interest in marketing analytical application
• Demonstrated self-starter who thrives in a fast-paced environment with flat structure
• Hands-on experience turning analytics into actionable insights and client-friendly presentation

When applying:  Please attach your resume and contact info.  We review candidates regularly and will contact you when we’d like to chat further.

Thank you for your interest in Leo Burnett!

All your information will be kept confidential according to EEO guidelines.