December 6
• Ideate and build proof of concepts for client-facing analytical tools and products. • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Interact with internal and external clients to develop hypotheses, scope project requirements, formulate and execution analyses, and present results and recommendations. • Create and maintain dashboards utilizing Amazon Quicksight. • Conduct ad-hoc analysis and presenting results to internal and external stakeholders. • Serve as resident expert in statistical analysis, including model development, validation, and maintenance. • Query, transform, and integrate data from multiple sources and structures and carry out data cleansing and normalization tasks to ensure data integrity. • Construct models to predict consumer behavior, propensities, preferences, lifetime value, and retention. • Develop processes and tools to monitor and analyze model performance and data accuracy. • Work with internal data engineering team to automate model implementation. • Develop and maintain online dashboard summaries of data and campaign performance to facilitate learning and decision-making. • Present results, insights, recommendations to internal and external clients.
• Bachelor’s Degree in Statistics, Analytics, Computer Science, Math, Economics or other related field. • Minimum of 5 years of experience using statistical and computer languages such as Python, R, Java, AWS, and so on. • Exceptional SQL skills. • Able to communicate complex analytics results and insights to less technical audience. • Experience with data visualization tools, Amazon Quicksight a plus. • Experience with database management and data architecture, Databricks a plus! • Strong understanding of all facets of Database Marketing and Dynamic Pricing. • Extensive experience with PowerPoint and Excel functions and formulas. • Strong written and verbal communication skills.
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