Data Analyst I

Capital Insurance Group is seeking a candidate to join our Data Department. We look to partner with a candidate who fits with the CIG culture, excels as a decision enabler, and can effectively collect and communicate results to key stakeholders. Projects assigned will come from multiple insurance disciplines with a focus on Analytics/ Data engineering.

As a Data Analyst, you will gain industry expertise in Analytics/ Data engineering, as well as lead your own analyses under the supervision of seasoned Data Analysts/ Data Engineers.  To be successful in the role, you will need to have good business judgement and enjoy finding and creatively solving complex business issues.

• Story Telling – Demonstrate experience working with data visualization. Developing and deploying effective dashboards and other data communication will be fundamental to success. You will be responsible for fully understanding department-specific needs, identifying and producing robust, intuitive solutions that enable decisionmakers.
• Collaboration – Work directly with internal stakeholders to effectively launch analytics solutions across the organization.  Success will be measured by the ability to effectively integrate analytics solutions into existing workflows and achieve buy-in from all parties, ultimately translating into improved financial performance. 
• Data Engineering – All valuable analyses start with quality data. You will be responsible for compiling relevant data from multiple internal databases, utilizing alternative data for validation, and clearly documenting your process.
• Automation – Complete recurring reporting responsibilities with an emphasis on automation and creating efficiency.
• Education - Actively pursue continued education development opportunities.  You will have access to several continuing education programs offered through CIG including analytics and data science training.  CIG also support travel to conferences that offer career development opportunities are available.
• Advanced Analytics – Understand and implement predictive modeling and machine learning techniques (e.g. regression, classification, clustering) and how they apply in insurance.  You will be responsible for learning and understanding techniques used, explaining validation metrics, identifying optimal models, etc.
• Leadership – You will have opportunities to work on highly visible projects. You will have considerable freedom to pitch ideas and change the status quo. 

• Bachelor’s or Master’s degree in a quantitative or scientific field
• 0-2 years of analytics experience required
• Experience using SQL and a comprehensive understanding of relational databases
• Knowledge of Python, R, or other statistical software
• Proficiency in Microsoft Excel
• Property & Casualty insurance experience is a plus
• Data engineering principles/experience is a plus
• Data/Predictive modeling experience is a plus
• Experience with Tableau or other data visualization software is a plus

Skills necessary to succeed:

• Communication – Ability to explain technical analysis to business partners and management, whether in person, in front of a conference room, or through a dashboard.
• Strong Work Ethic – Must be results oriented, prioritize work to meet deadlines
• Quantitative Aptitude – Ability to apply analytical and statistical concepts to develop business solutions
• Adaptability – Has the entrepreneurial spirit to be successful in a dynamic, changing environment and comfortable embracing new technologies
• Team Player – Establish working relationships, foster teamwork and cooperation with others