Sr. Data Analyst

• Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources.
• With moderate direction, creates solutions from initial concept to production.
• Communicates results to a broad range of audiences.
• Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
• Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making.
• Mentors less senior staff.
• Works in cross functional projects and programs.
• Routinely presents to management.
• Performs other duties as assigned.

Bachelor’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance. Related experience may offset degree requirements and related education/degree may offset experience requirements.

Minimum Experience

Five (5) years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics.

Knowledge, Skills and Abilities

Proficiency in analytics software and applications. Good interpersonal skills. Good written and oral communication skills.

Preferred Qualifications: Preferred knowledge of Alteryx, actuarial methods, and financial reporting.