Senior Decision Science Analyst - Member Value - CHESAPEAKE

- Leverage advanced business, analytical, and technical knowledge to engage in discussions with cross-functional teams to comprehend and collaborate on complex business objectives and propose solution strategies. - Utilize advanced analytical methods to address business challenges that are typically medium to large scale with significant implications for business strategy. - Employ innovative and quantitative analytical strategies to derive conclusions and formulate actionable recommendations that align with business goals. - Prepare communication materials to effectively present findings to varying levels of management. - Implement visualization techniques to emphasize key analysis points and assist understanding for non-technical audiences. - Identify and compile quality data sources necessary to thoroughly address problems for proposed strategies through testing or exploratory data analysis (EDA). - Integrate and transform disparate data sources while applying appropriate data hygiene techniques. - Document assumptions, methodologies, validations, and testing processes meticulously to support peer reviews and compliance requirements. - Stay updated on new technologies that could impact scientific methodologies and quantitative analytical solutions. - Present analytical findings succinctly to demonstrate understanding, garner support for recommendations, influence decisions, and drive business strategies. - Provide subject matter expertise in the operationalization of recommendations. - Stay informed on the latest trends in data and analytics (e.g., Cloud, Data Mining, Python, Neural Networks). - Seek opportunities for continuous learning in data and analytics, whether through informal platforms (e.g., Coursera, Udemy) or formal education (e.g., certifications, advanced coursework). - Ensure that risks associated with business activities are effectively identified and managed in line with risk and compliance policies.