Description

Lead the development of customer insights and predictive models to drive media investment strategies and business growth.

Responsibilities

• Build and maintain reports, scorecards, and dashboards to track customer experience and satisfaction.
• Develop and enhance predictive and machine learning models to generate shopper insights, target audiences, and optimized customer journeys.
• Execute end-to-end insight analyses, including hypothesis testing, data mining, and heavy text mining.
• Translate complex data into actionable recommendations and executive-level presentations for Sales and Marketing stakeholders.
• Collaborate cross-functionally with Business Intelligence, Customer Care, and Business Units to identify data gaps and improve existing sources.

Required Skills

• 3-5 years of experience in analytics, consulting, retail, or media.
• Minimum 3 years of hands-on SQL experience within Hive, Hadoop, or Google Cloud Platform environments.
• Strong programming proficiency in R or Python.
• Experience applying statistical techniques including Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, and Deep Learning.
• Proven ability to mine, analyze, and interpret data to solve complex business questions.
• Proficiency in Microsoft Office, specifically Excel and PowerPoint.
• Experience presenting strategic, action-oriented recommendations to executive audiences.

Education and Experience

• Bachelor's degree in Statistics, Mathematics, Economics, Operations Research, Marketing Analytics, or a related quantitative field.

Preferred Skills

• Master's Degree in a quantitative field.
• Proficiency in BI tools such as Tableau, Power BI, or Adobe Analytics.

Key Skills

Education

Bachelor's Degree