Senior Data Insights Specialist - Member Engagement

- Utilize advanced business, analytical, and technical expertise to engage with cross-functional teams on complex business objectives and influence strategic solutions. - Implement advanced analytical methods to resolve medium to large-scale business issues with substantial influence on present and future strategies. - Employ innovative and scientific analytical techniques to derive conclusions and provide actionable recommendations that address specific business goals. - Create communication materials to present findings effectively across various management levels. - Utilize visualization strategies to clarify analysis points for non-technical audiences. - Identify and collect relevant, high-quality data sources necessary for comprehensive problem-solving through testing or exploratory data analysis (EDA). - Integrate and transform diverse data sources while ensuring appropriate data hygiene practices. - Document assumptions, methodologies, validations, and testing processes for peer reviews and compliance purposes. - Stay updated on emerging technologies relevant to scientific methodologies and quantitative problem-solving approaches. - Articulate analysis and findings clearly to influence management decisions and strategic direction. - Provide subject matter expertise to operationalize recommendations effectively. - Remain informed about data and analytics trends, including but not limited to Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, and Streaming data. - Seek opportunities for continued learning in the data and analytics domain through platforms like Coursera, Udemy, and others or through formal certifications and advanced studies. - Ensure the risks associated with business activities are identified, assessed, monitored, and controlled per risk and compliance policies.