In my previous role, I identified a significant revenue leakage in our subscription model by analyzing usage data and customer behavior patterns. I developed a predictive model to forecast potential churn and implemented a targeted retention strategy, which reduced churn by 15% and increased customer lifetime value.

I prioritize data integrity by establishing robust data validation processes and regularly auditing data sources. I also collaborate closely with IT and data management teams to ensure data is collected and processed correctly, minimizing errors and ensuring the reliability of insights derived from the data.

I have extensive experience with tools like Tableau and Power BI, where I've created interactive dashboards and reports that provide actionable insights to stakeholders. My proficiency includes data modeling, visualization, and advanced analytics to support strategic decision-making.

I focus on simplifying complex data into understandable narratives, using visual aids and analogies to bridge the gap between technical and non-technical audiences. This approach ensures that all stakeholders can grasp the key insights and implications of the analysis, facilitating informed decision-making.

I regularly engage with professional networks, attend industry webinars, and read relevant publications to stay abreast of emerging trends and technologies in business analytics. This continuous learning helps me apply cutting-edge techniques and tools to enhance analytical capabilities and deliver more impactful results.