Why USAA?
Let's do something that really matters.
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members.
We believe in our core values of honesty, integrity, loyalty, and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special!
As a dedicated Decision Science Analyst Senior, you will provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating, and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
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, or Charlotte, NC.
Relocation assistance is not available for this position.
This position can work remotely in the continental U.S. with occasional business travel.
The Opportunity
The goal of the Bank Digital Tagging and Analytics program is to improve customer engagement, experiences for product acquisitions and servicing, customer representative servicing, fraud detection, and regulatory compliance by driving and enabling tagging and analytics in our digital channels including mobile, web, and customer servicing portal. This role requires understanding and experience with tagging lifecycle, analysis & design, management, standards and procedures, implementation, testing and validation, quality assurance, and governance enabled via Tealium and Adobe Analytics.
You will join a team of dedicated Digital Tagging and Data Products Analysts to collaborate, design, deliver, consult, and advise on tagging strategy, solutions, and capabilities across various partners and team members in the Bank, Data and Analytics community, and Enterprise organizations. Demonstrating and continuously improving upon KPI and measurement-driven approaches will encompass digital properties and experience interaction and behavioral analysis, tagging design which will lead to comprehensive data collection, key events that should be captured across the experience flow and funnel, ensuring data accuracy and integrity, and overall compliance to standards. Tagging analytics will include customer engagement behavior, experience engagement metrics and trends, conversion optimization, abandonment tracking and reduction, friction and exception insights, cross-channel switching, and a variety of other complimentary analytics experience performance management by applying tools as Adobe Analytics Workspace, Glassbox, and custom querying and analysis of these assets on our Data Cloud Snowflake platform. Collaboration and communication with experience owners, channel application IT, and other cross-functional teams is crucial for planning, tracking, and delivering foundational tagging data assets and derived omnichannel experience data and metrics. Additionally, this role will provide strategic mentorship to management, ensure data governance and compliance, manages partners, demonstrate strong and evolving business insight, has excellent communication skills, and stays updated with industry trends and standard methodologies.
What you'll do:- Leverages sophisticated business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly sophisticated business objectives and influence solution strategies.
- Applies sophisticated analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
- 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 and compliance requirements.
- 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.
- Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
- Seeks opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or sophisticated coursework).
- Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
What you have:- 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 quantitative subject area; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business proven experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience 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 field and 4 years of proven experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
- Demonstrates sophisticated skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
- Sophisticated knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
- Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
What sets you apart:- US military experience through military service or a military spouse/domestic partner
- Demonstrated strong experience and business insight in tagging lifecycle management, tagging analysis and design, and implementation for Banking experiences.
- Performed diagnostic and descriptive performance analytics, visualization, and actionable insights' narrative on customer engagement behavior, experience engagement metrics and trends, conversion optimization, abandonment tracking and reduction, friction and exception insights, and cross-channel switching demonstrating tools as Adobe Analytics Workspace and Glassbox.
- Experience developing and/or applying data discovery and analysis frameworks and tools such as SQL and Python to address challenges and gaps in tagging data and metadata.
- Applied statistical techniques to identify trends, patterns, anomalies, and correlations within channel and cross-channel data.
- Professional experience researching, demoing, and proving innovation thinking with Proof of Concepts, and eventual products that can materially impact data automation, data quality, data models, data stitching, and data consumption.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
What we offer: Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is:
$109 . click apply for full job details
