Decision Science Analyst Senior, Life Company Data and Analytics

What you'll do

• Apply advanced mathematical and statistical techniques to draw conclusions and make "insight to action" recommendations.
• Gather, manipulate, and synthesize disparate data sources to develop implementable business strategies.
• Lead discussions with cross-functional teams to understand complex business objectives and influence solution strategies.
• Translate complex analytical findings into communication materials and visualizations for various levels of management.
• Identify and gather quality data sources through testing and exploratory data analysis (EDA).
• Document assumptions, methodologies, and validation testing to ensure peer review and compliance.
• Provide subject matter expertise on operationalizing recommendations and identifying associated business risks.
• Monitor and control business risks in accordance with corporate policies and procedures.

What we're looking for

• Bachelor's degree in a quantitative field or 4 years of relevant education/experience in lieu of a degree.
• 6 years of data and analytics experience, or 4 years of data and analytics experience plus 2 years of functional business experience.
• Advanced knowledge of SQL, SAS, BI tools, and data visualization software.
• Advanced skills in mathematical and statistical techniques to drive fact-based decision-making.
• Experience with data wrangling, data munging, and integrating disparate data sources.
• Ability to translate complex analyses into compelling narratives for executive presentations (preferred).
• 5 or more years of experience leveraging SQL, Python, and statistical methods to influence strategic decisions (preferred).
• Experience leveraging machine learning, optimization, or simulation methods (preferred).