Data Analytics Senior Consultant

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Consider joining a newly created team at CNA Insurance designed to leverage analytics synthesized from across the organization to ensure our underwriting strategies are producing optimal profitability. Successful candidates will be individuals who thrive in a dynamic entrepreneurial environment as they help build and establish this new function and team.
In this portfolio management data analytics role, you will leverage your analytical skills, technical skills and strong customer focus to drive significant business impact across a variety of dynamic commercial insurance products. You will lead smaller scale projects to implement automated scorecards and individual account scenario analysis tools to help underwriters plan and execute CNA's global underwriting strategies as part of a cohesive execution process and platform. You will translate underwriting strategy to relevant leading indicators and operational key results, and design and develop analytics solutions that drive successful execution of the strategy. This team creatively leverages all of CNA's available data and information, covering diverse functional areas such as exposure or policy attributes, distribution, risk control, operations, and claim data as needed. You will also perform non-actuarial data analysis on a variety of data sources to provide insights that inform decision making across the underwriting value chain.
This position provides the opportunity to work directly with senior underwriting leadership. You will also collaborate cross-functionally with underwriting and operational leaders to both understand the nuances of their business and to implement the analytical work product directly into core processes across the organization.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:

• Creates automated data-driven scorecards that scale up and down through the organization across various areas of responsibility. Ensures scorecards are directly leveraged in CNA's core processes.
• Implement scenario analysis tools that help underwriters effectively execute strategies.
• Uses technical expertise to provide business insights and recommendations to support business improvements. Reports findings to Senior Management.
• Translates qualitative strategic initiatives to quantitative data-driven work products.
• Identifies, extracts, aggregates, and interprets data relevant to analyses. Develops insightful and actionable analytics solutions; monitors trends over time and provides actionable insights to drive improved business outcomes.
• Makes recommendations based on an understanding of business strategy and context, technical experience, judgment, and precedents.
• Operates in an agile product mindset with a focus on iterative delivery toward key business outcomes
• Acts as a technical resource and provides feedback on cloud-based tech solutions in support of analytics and reporting objectives.
• Works independently, receiving minimal guidance; acts as a resource for colleagues with less experience by providing instruction, guidance, and advice.
• May actively partner with other analytical teams across the organization and/or participate in special projects.
• Responds to and fulfills adhoc data related requests.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above.
Skills, Knowledge & Abilities

• Solid knowledge of core functions of a commercial insurance company
• Solid technical knowledge of financial, economical and statistical practices, procedures and principles, which may include a specialty area of the business.
• Solid interpersonal, communication and presentation skills. Effectively interacts with all levels of CNA's internal and external business partners.
• Solid analytical, critical thinking and problem solving skills to effectively resolve complex situations and issues.
• Solid project management, organization and planning skills with the ability to manage multiple projects effectively and lead teams.
• Ability to solve issues with a sense of urgency; utilizes and manages the available resources to make informed decisions and achieve superior results.
• Ability to creatively and effectively manage through ambiguous and challenging problems, leads through change and takes appropriate level of risk.
• Knowledge of technical data analysis techniques and tools

Education & Experience

• Bachelor's Degree in Business, Economics, Mathematics, Finance, Statistics, or related field.
• Typically a minimum of seven years of related work experience including experience within the insurance industry.
• Extensive experience and advanced skills with Microsoft PowerBI and SQL.

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In New York/California, the average base pay range for a Data Analytics Senior Consultant is $107,000 to $134,000. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.
I n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia , California, Colorado, Connecticut, Maryland , New York and Washington, the national base pay range for this job level is $71,000 to $133,000 annually.Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com .
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected] .