Business Intelligence Analyst (Mid-Level) – P&C Underwriting Analytics

USAA•Tampa, FL

19h•$85,040 - $153,080•Hybrid

About The Position

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. This individual will be part of the P&C Underwriting Analytics team. This individual will help support the goals around supporting Data & Analytics (D&A) for the reinvention of Underwriting, which includes delivering data to Underwriting partners, assisting with the strategy of data delivery, creating visualizations, and ensuring Underwriting consumes data and information effectively. The new hire will impact these goals by helping to achieve them. Analyzes complex business problems and issues using data from internal and external sources to provide insight to analysts and decision makers. Identifies and interprets trends and patterns in datasets to locate influences. Creates specifications for reports and analysis based on business needs and required or available data elements. May participate in consultation to users and in cross functional teams to address business issues. Prototypes solutions for displaying information based on business needs.

Requirements

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other business-related discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, etc.)OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, etc.).
Experience identifying and implementing innovative approaches to address business problems and solutions.
Experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
Proven ability to build business knowledge through meaningful partnerships at the individual contributor, leadership, and EMG levels.
Demonstrated advanced communication skills with the ability to deliver presentations to all levels of management.
Demonstrated ability to embed intuitive story telling within business intelligence solutions.

Nice To Haves

Proficiency in SQL, Tableau, advanced Excel, Python, and SAS, with a strong understanding of data analysis and visualization techniques.
Demonstrated experience within the Property & Casualty insurance industry.

Responsibilities

Independently participates in gathering complex business requirements by partnering with customers to define the business problem and data needs.
Utilizes an intermediate understanding of multiple data structures and sources to lead the development and implementation of business intelligence solutions, which may include data visualization, data transformation, or data collection.
Works closely with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Includes collaborating on the design and implementation of technical standards and governance practices.
Applies data visualization best practices - often selecting the right data 'tool for the job' - to identify and interpret trends or patterns while following standard Enterprise branding.
Understands the value of prototyping, usability, and the end-user experience to maximize the impact of the final data visualization product (dashboard, report, insight, or analysis).
Acts as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value.
Develops advanced knowledge to influence relevant data, information, and application architecture decisions.
Actively participates in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.