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Marketing and Campaign Analytics, Consultant
4 weeks ago
Your Role The AI and Analytics team oversees the artificial intelligence platform and analytical functions. In this role, you will be providing critical analytics support to our healthcare insurance clients (BlueShield of California and other health plans). This role is responsible for driving data-informed strategies and delivering actionable insights to optimize marketing campaigns and improve business outcomes. The ideal candidate will be a strategic thinker with a strong analytical mindset and a passion for leveraging data to solve complex business challenges. Your Knowledge and Experience Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Marketing, Business Analytics, or related quantitative field Bachelor's degree in data science, data analytics, health informatics, statistics, engineering or related fields required. Master's degree in Data Science, Statistics or Business Analytics (preferred) 7+ years of experience in a marketing analytics role, preferably in the healthcare insurance industry. Proven experience in providing analytics support to clients or internal stakeholders in a consultative capacity. Strong proficiency in SQL for data extraction, manipulation, and analysis. Hands-on experience using SAS for data extraction and manipulation Expertise in Python for statistical analysis, predictive modeling, and data automation. Advanced skills in Tableau for creating interactive dashboards and data visualizations. Demonstrable experience in building and deploying marketing mix models, acquisition and retention models and brand effectiveness models for marketing teams. Solid understanding of web analytics and customer journey analytics. SAS certification (preferred) Experience with Generative AI (GenAI) and Large Language Models (LLMs) in a marketing or analytics context (preferred) Hands-on experience with the Databricks platform for large-scale data processing and analytics (preferred) Experience with CRM platforms (e.g., Salesforce) (preferred) Cloud Platforms: AWS, Azure, or Google Cloud experience (preferred) #J-18808-Ljbffr
