Business Performance Senior Analyst

About the Role

Key Responsibilities

• Provides data-driven answers or solutions to business questions through assigned projects of moderate to high complexity.
• Utilizes knowledge of core insurance principles, business environment, and analytics for analysis and consumption of data.
• Analyzes and derives findings, identifies impacts, and formulates ideas, options, and recommended actions.
• Utilizes a strong consultative and collaborative approach in working with internal business partners to anticipate and address needs; effectively translates business questions or needs into solutions and requirements.
• Extracts and transforms data from various databases (on premises, cloud, and Snowflake) to perform moderate to complex analyses to develop data-driven solutions.
• Determines the final work product in partnership with stakeholders and manages requirements to ensure optimal delivery of business value.
• Ensures delivery of products across various stages while delivering business value in a timely fashion.
• Provides technical guidance, coaching, and mentoring to less experienced analysts.
• Communicates effectively through verbal, written, and presentation skills, including storytelling from data.
• Identifies appropriate internal and external data sources, ensuring data quality for answering business questions.
• Identifies opportunities for process improvement and leads efforts to enhance processes.
• Creates and maintains accurate procedure documentation and reference materials.

Requirements

• 5+ years of experience in analytical positions with demonstrated ability to provide reporting and analytics on moderately complex projects or assignments.
• Bachelor's degree in statistics, mathematics, business/data analytics, actuarial sciences, finance, or related field, or commensurate data analysis or business intelligence experience.
• Experience with Business Intelligence (BI) Reporting Tools such as Power BI.
• Knowledge of business requirement gathering, data analysis, and synthesis.
• Proficiency in programming languages such as Python or R.
• Strong SQL skills.
• Experience with data visualization.
• Understanding of business acumen, basic statistics, and basic machine learning.

Nice to Have

• Certified Business Analysis Professional (CBAP) (Preferred).
• Data Analyst Certification (Preferred).

Qualifications

• Power BI certification or experience.