Decision Science Analyst I

USAA•San Antonio, TX

11h•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. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity Employer: United Services Automobile Association

Requirements

Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Information Technology or related field and 4 years of experience in the job offered or in a decision science analyst occupation.
Master’s degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Information Technology or related field and 2 years of experience in the job offered or a decision science analyst occupation.
Data Analytics experience in the financial industry
Supporting the marketing line of business with data analysis, insight delivery and reporting
Using BI tools for designing and developing interactive reports & dashboards
Data Visualization experience including Tableau and advanced Excel
Advanced SQL programming skills, capable of developing complex queries, stored procedures, and ETL processes
Database design experience, including ER modeling, normalization, and data integrity
Optimize SQL query performance by analyzing execution plans, identifying bottlenecks and implementing indexes
Experience with Snowflake and SQL Server databases
Coding with SAS for statistical analysis and reporting
Data and Text Mining
Testing and debugging algorithms in SAS and SQL, including converting code from SAS to SQL and vice versa
Experience using Python, JavaScript, and VBA to develop custom data processing or automation tasks
Conducting ETL change impact analysis to identify and mitigate risks to data quality, data integrity and downstream analytical processes
Experience with the full data lifecycle, from requirements gathering and technical design to insight communication and process documentation

Responsibilities

Leverages expert business/analytical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
Translates recommendation into communication materials to effectively present to various levels of management.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews. Subsequent analysts should be able to rely on documentation to replicate and continue work.
Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
Provides subject matter expertise in operationalizing recommendations.