IQ Workforce is a leading recruiting firm for the engineering, analytics, and data science communities.

Our client is a global restaurant company, which engages in the development and operation of some of the most recognizable brands in the world. They have over 30,000 employees and operate over 50,000 restaurants in 150+ nations and territories.

They are currently looking to add a Manager of Marketing Science to join their Digital & Technology Division. This role would be focus on supporting their internal brands by providing comprehensive performance insights into paid, earned, owned and emerging marketing channels utilizing their AI/ML based marketing performance analytics platform, Kvantum.

Responsibilities include:
Engage with teams (data science, marketing science & product dev teams) and with the client (internal and external) around the data mobilization, data requirements, project milestones, etc.

Understand the data from the project point of view, work with the client & its agencies to understand the data requirements, and make sure that the data is prepared correctly for the modeling using the Kvantum marketing performance analytics platform.

Understand the data and how to transform it to use for marketing/media mix modeling, attribution, and consumer analytics.

Leveraging the business & technology context, document the client specific data management (including collection & harmonization) requirements to customize the Kvantum tool to help automate the data mobilization function.

Understand models (input & output variables) covering the latest digital marketing activities in the real world (newly introduced marketing channels + existing online and offine channels). Deliver powerful brand story using model outcomes.

Leverage the team of modelers, data analysts, marketing scientists to use the data correctly in the models, build the executive presentation for clients, etc.

Leverage understanding of statistical techniques and hypothesis development to design tests/ experiments, analyze data, draw conclusions with actionable recommendations to help Brands & Franchisees with data-driven decision making.

Work with client teams in understanding the outcomes of the complex marking mix and attribution models (AI/machine learning) and support their media agencies in building the media plan for future quarters.

Understand the Kvantum scenario planning tool to perform optimization/scenario analysis for client’s marketing & pricing “what if” scenarios.

Use Kvantum algorithm/modeling tool to perform statistical analysis and modeling as required.

Qualifications:
Bachelor’s degree in any of the following – Marketing, Marketing Communications, Economics, Business Analytics, Business Management

4+ years of experience in marketing analytics and/or marketing mix modeling & optimization

2+ years’ Experience in media planning, integrated marketing planning.

Expert in MS Excel and MS PowerPoint

Experience in building marketing models with marketing, promotions, and business specific variables.

Ability to clearly distill data into understandable and actionable recommendations for media planners and clients

Consulting skills with a commitment to understanding trends and underlying factors in data and analysis

Exceptional client management skills while managing multiple clients across time zones as well as verticals

“Attention to Detail” to summarize & consolidate the data

Ability to analyze and identify discrepancies within various data sets from disparate sources

Have a “Sharp Eye” to build sophisticated PPT with the ability to visualize various kind of data types

Knowledge of various marketing channels such as TV, Print, Radio, OOH, Display, Search, Social so that you can understand the modeling aspects

You are a natural problem solver and enjoy helping team members in troubleshooting

Knowledge of digital media and marketing analytics for both direct response and brand models.

Preferred:
Proficiency with analytic software tools such as R/Python/SAS

Good understanding of the statistical algorithms typically used in Marketing Analytics.

Must have supported multi-million-dollar marketing spend optimization or marketing research projects for large enterprise clients