Lead Data Analyst

Who We Are:

Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart.

Old Republic Excess & Surplus Inc. (ORE&S) is a New Division of Old Republic that specializes in Property and Casualty (P&C) business that is written on a non-admitted Excess & Surplus Lines basis through appointed wholesalers.

Position Overview:

Description:
The data analyst interprets and analyzes complex datasets to provide insights and support data-driven decision making within an organization. This role works alongside engineers, modelers, and business executives to gather and transform data, conduct statistical analyses, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.

Essential Job Functions:

Responsibilities

• Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
• Completes the gathering and cleaning processes for data from various sources, ensuring data integrity and quality
• Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
• Develops and maintains dashboards, reports, and visualizations to communicate data findings effectively
• Identifies KPIs and develops metrics to track and measure business performance
• Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes
• Monitors data quality to identify data issues and propose data cleansing or enhancement solutions
• Stay updated with industry trends and best practices in data analysis, visualization, and reporting

Qualifications:

• A bachelor’s degree in data science, statistics, mathematics, information science, or related field
• At least five years of experience as a data analyst, data scientist, BI analyst, or related profession
• Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
• Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel
• Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
• Knowledge of data visualization best practices to effectively communicate insight
• Preference. experience with AI tools, natural language processing (NLP), or deep learning frameworks

ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.