Responsibilities

• Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
• Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
• Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
• Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
• Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.
• Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
• NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.