Sr. Data Analytics Consultant
Job Summary
Be part of CNA's Analytics and Data Model Office (ADMO) team to provide critical reporting and analytics support to our very own Underwriting Operations organization. In this role you will help establish metrics, provide insightful data analyses, partner with other ADMO teams to support Underwriting Operations' Business Intelligence needs. The successful candidate will have strong communication and technical skills, with excellent business acumen and the ability to multi-task, to ensure delivery of high-quality outputs and make impactful data-driven recommendations.
Essential Duties & Responsibilities
- Demonstrate high level of empowerment and accountability by working independently and receiving minimal guidance; act as a resource for team members by providing instruction, guidance, and advice.
- Play a key role in defining, analyzing, and monitoring health-of-business key metrics for Underwriting Operations. Recommend and execute scientific methodology to evaluate operational changes.
- Establish and nurture relationships with Underwriting Operations' leaders. Leverage these interactions and partnerships to identify opportunities for business improvements.
- Collaborate with cross-functional partners such as Data Management, Data Science, Architecture, and Dev Ops, to improve efficiency of managing and curating data, allowing for better scale, speed, and accuracy of producing analyses, metrics and insights.
- Develop dashboards and create/automate reports that provide actionable insights to Underwriting Operations' Leadership team.
- Partner with in-house data scientists to assist in the building, application, and monitoring of statistical models that aim to optimize productivity and maximize return to operational investments.
- Respond to and fulfill ad-hoc requests. May perform additional duties as assigned.
Reporting Relationship
You will report to a Director
Skills, Knowledge & Abilities
- Solid analytical, critical thinking and problem solving skills.
- Proficiency with SQL. Knowledge of R and Python a plus.
- High degree of familiarity with applications such as Google BigQuery, ThoughtSpot, and Looker. Familiarity with Alteryx, Tableau, Qlikview and other business intelligence and visualization software a plus.
- Experience with data mining and exploration, and use of statistical methods of analysis. AI/machine learning skills a big plus.
- Knowledge of workflows, company systems, databases, and their integration. Background in Insurance a plus.
- Excellent verbal and written communication skills; a keen ability to extract relevant insights and "tell the story" with complex data.
- Strong project management, organization and planning skills; high level of comfort with ambiguity and limited resources.
Education & Experience
- Bachelor's Degree in Business, Economics, Mathematics, Finance, Statistics, or related field
- Typically a minimum of seven years of related work experience, or 5 years of related work experience with a Graduate Degree in related field .
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