Data Analyst- Customer Analytics (Power BI, Python, Azure)

Job Responsibilities

• Collaborate with stakeholders to gather and translate business questions into actionable analytics solutions that drive customer and business impact.
• Lead end-to-end analytics projects, including scoping, data exploration, modeling, and delivery of findings through reports, presentations, and dashboards.
• Develop and maintain dashboards and visualizations in Power BI to track key performance indicators, customer metrics, and operational trends.
• Analyze customer data to uncover insights related to engagement, retention, segmentation, and lifecycle behaviors that inform business strategy.
• Design and implement predictive models (e.g., segmentation, churn propensity) using tools like Python and scikit-learn, in collaboration with engineering for production support.
• Validate data requirements and ensure accuracy, working closely with the data engineering team to ensure consistency, completeness, and usability across sources.
• Leverage tools like Python and Azure Fabric to explore and prepare data for analysis and modeling; contribute to scalable analytics workflows with guidance from the data engineer.
• Partner with cross-functional teams (Sales, Customer Success, Product) to align analytics with organizational goals and provide strategic insights.
• Stay current with analytics and BI best practices, continuously improving analytical approaches, visualization techniques, and data storytelling.
• Stay current with analytics and BI best practices, continuously improving analytical approaches, visualization techniques, and data storytelling.