Description

Lead customer insights and predictive modeling to drive media investment strategies and business growth.

Responsibilities

• Build and maintain reports, scorecards, and dashboards to track customer experience.
• Develop predictive and machine learning models for shopper insights and audience targeting.
• Execute end-to-end insight analyses including hypothesis testing, data mining, and text mining.
• Translate complex data into actionable recommendations for Sales and Marketing stakeholders.
• Collaborate with Business Intelligence and Customer Care to identify data gaps.

Required Skills

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

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