
Analyst, Advanced Analytics
The Leo Burnett Group is looking to fill an Analyst position for the Modeling, Segmentation, and Forecasting team within our Data Science practice. We are looking for individuals who can leverage their in-depth knowledge of statistics to solve complex business issues through predictive modeling.
We deliver inspired marketing solutions to a blue chip client roster and we’re part of Publicis Group, the world’s 3rd largest communications group. Our clients include: Procter & Gamble, McDonald’s, and Kellogg’s. As a member of the Optimization Practice, you'll have the opportunity to make an impact on a wide array of marketing practices, share ideas with some of the best minds in the business, and meet creative and professional challenges.
The Optimization Practice works in partnership with Clients as well as other Agency counterparts (e.g., Account Management, Planning, Creative, Production) to seamlessly integrate CRM marketing communication into all aspects of the marketing plan. Our role is to effectively harness the vast information already on-hand in Client customer files and databases to shape and deliver individualized customer communication. Vital to our efforts is the compilation and assessment of results that impact future communications.
Responsibilities
The responsibilities of an Analyst in Modeling, Segmentation, and Forecasting are focused on predictive and/or forecast model development, data analytics, and consumer segmentation. Specific responsibilities include:
- Develop predictive models that increase the efficiency and effectiveness of Client database-driven CRM initiatives.
- Perform data preparation, model design, and model maintenance.
- Plan, execute, and effectively communicate the results of strategic database analyses in support of Client business (e.g., analyze impact of marketing communications on market share, program response analysis).
Requirements
- Graduate (MS, PhD) degree in statistics or related quantitative field (e.g. economics, social sciences, engineering, mathematics).
- In-depth knowledge of statistical tools (e.g., SAS, SPSS) and techniques (linear and logistic regression, time series analysis etc.) used for modeling, segmentation, forecasting and in-depth data analysis.
- Professional experience in modeling, segmentation, and analytics a plus.
- Strong communication and interpersonal skills a must.
- Ability to work effectively and efficiently as part of a team.
Interested applicants should send their resumes to
jill.reformado@leoburnett.com
Analyst, Optimization (Web | Social Media Analytics)
The Leo Burnett Group is looking to fill an Analyst position within the Optimization Team primarily focused on web/digital and social media analytics. We are looking for individuals who combine strong analytic abilities and effective communication skills to improve Client database-driven initiatives.
We deliver inspired marketing solutions to a blue chip client roster and we’re part of Publicis Group, the world’s 3rd largest communications group. Our clients include: Procter & Gamble, McDonald’s, and Kellogg’s. As a member of the Optimization Practice, you'll have the opportunity to make an impact on a wide array of marketing practices, share ideas with some of the best minds in the business, and meet creative and professional challenges.
The Optimization Practice works in partnership with Clients as well as other Agency counterparts (e.g., Account Management, Planning, Creative, Production) to seamlessly integrate CRM marketing communication into all aspects of the marketing plan. Our role is to effectively harness the vast information already on-hand in Client customer files and databases to shape and deliver individualized customer communication. Vital to our efforts is the compilation and assessment of results that impact future communications.
Typical deliverables from our team include:
Strategy & Planning
Reporting, Analytics, and Measurement
Modeling, Segmentation, and Forecasting
Analytic Tools and Innovation
Requirements
- Bachelor’s Degree in an analytic-focused field (e.g. statistics, engineering, social sciences, economics). An advanced degree is a plus.
- Strong quantitative problem-solving skills
- Strong communication and interpersonal skills
- At least 2-3 years of experience in a related field such as database marketing, campaign management, and data analysis
- Client Management | Account Service experience is a plus
- Experience using data analytic tools (e.g. SAS, SPSS, SQL, Cognos)
- Experience using web and social media analytic tools (e.g. Webtrends, Omniture, Google Analytics, Radian6, etc)
Interested applicants should send their resumes to
jill.reformado@leoburnett.com
Manager, Advanced Analytics
The Leo Burnett Group is looking to fill a Manager level position for the Modeling, Segmentation and Forecasting Team. We are looking for individuals with professional experience developing statistical models and creating consumer database segmentation solutions.
We deliver inspired marketing solutions to a blue chip client roster and we’re part of Publicis Group, the world’s 3rd largest communications group. Our clients include: Procter & Gamble, McDonald’s, and Kellogg’s. As a member of the Optimization Practice, you'll have the opportunity to make an impact on a wide array of marketing practices, share ideas with some of the best minds in the business, and meet creative and professional challenges.
The Optimization Practice works in partnership with Clients as well as other Agency counterparts (e.g., Account Management, Planning, Creative, Production) to seamlessly integrate CRM marketing communication into all aspects of the marketing plan. Our role is to effectively harness the vast information already on-hand in Client customer files and databases to shape and deliver individualized customer communication. Vital to our efforts is the compilation and assessment of results that impact future communications.
Our team of database marketing professionals is organized into three primary service areas: Strategy & Planning, Digital Measurement, and Modeling, Segmentation and Forecasting. Together, we help our Clients bring together their marketing, technology, analytic, and customer care resources to deliver on the promise of CRM.
Responsibilities
The responsibilities of a Manager in Modeling, Segmentation and Forecasting are focused on data analytics, predictive model development, and consumer database segmentation in support of Client business. Specific responsibilities include:
- Develop predictive models that increase the efficiency and effectiveness of Client database-driven CRM initiatives.
- Perform data preparation necessary for model development, demonstrate model validation, and write code for model installation and scoring.
- Plan, execute, and effectively communicate the results of modeling initiatives.
- Identify new opportunities for applying statistical modeling to enhance Client marketing initiatives.
Requirements
- Master’s degree in statistics or related field (e.g. applied statistics, economics, mathematics, social sciences) is a must
- Extensive knowledge of multivariate statistical techniques, such as, logistic regression, factor analysis, cluster analysis
- 5+ years of professional experience in modeling and analytics
- Statistical programming experience in SAS
- Strong communication, presentation and interpersonal skills
- Ability to work effectively and efficiently as part of a team
- Query language programming experience (SQL) is a plus
Interested applicants should send their resumes to
jill.reformado@leoburnett.com